Skip to main content

Main menu

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
      • Local Voices Webinar
      • Connecting Creators and Users of Knowledge
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers

User menu

  • My Alerts

Search

  • Advanced search
Global Health: Science and Practice
  • My Alerts

Global Health: Science and Practice

Dedicated to what works in global health programs

Advanced Search

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Special Collections
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Tips for Writing About Programs in GHSP
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Alerts
  • Find GHSP on LinkedIn
  • Visit GHSP on Facebook
  • RSS
REVIEW
Open Access

Assessing the Generalizability of Client Experience Measurement Tools in Low- and Middle-Income Countries: A Narrative Review

Andrew Corley, Susannah Gibbs, Nirali Chakraborty, Lara Fields, Giannina Chávez Ackermann, Jasmine Coulson, Yixin Zhang and Paul Bouanchaud
Global Health: Science and Practice December 2025, 13(2):e2300364; https://doi.org/10.9745/GHSP-D-23-00364
Andrew Corley
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: andrew{at}m4mgmt.org
Susannah Gibbs
bPopulation Services International, Washington, DC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nirali Chakraborty
aMetrics for Management, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lara Fields
cMetrics for Management, Baltimore, MD, USA. Now with Art & Science Group, Baltimore, MD, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Giannina Chávez Ackermann
dLondon School of Economics, London, England.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jasmine Coulson
dLondon School of Economics, London, England.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yixin Zhang
dLondon School of Economics, London, England.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul Bouanchaud
bPopulation Services International, Washington, DC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF
Loading

Key Findings

  • Numerous measures of client experience of care have sought to assess the quality of health services from clients’ perspective, frequently using related, overlapping theoretical domains.

  • No measures identified through this review possessed the attributes necessary to be adopted for use as a generalizable measure of client experience of care across multiple health areas.

  • The overlapping nature of many of the measures’ constituent domains across different health areas suggests that it would be feasible to develop a cross-cutting measure of client experience of care.

Key Implication

  • There is an opportunity to develop a new measure of client experience of care that would permit health system actors, including policy officials, program managers, and funders, to compare service quality across health areas and points of service delivery.

ABSTRACT

Introduction:

The experiences of people who interact with a health system form a key component of overall quality of care in that system. Yet, client experience is rarely reflected in how health systems are designed and assessed. To make meaningful progress on delivering high-quality patient-centered care, health systems actors need valid measures of client experience of care. However, no cross-cutting measure of client experience of care exists at present that could facilitate measurement and benchmarking across multiple health service areas.

Methods:

We conducted a phased literature search using multiple scholarly databases to identify peer-reviewed articles detailing the development, validation, or adaptation of measures relating to the concept of client experience in sexual and reproductive health care, HIV, primary care, noncommunicable disease management, and health services management and marketing. Measure domains were thematically analyzed and mapped against domains of an existing client experience of care framework—effective communication, respect and dignity, and emotional support.

Results:

We identified 73 articles that met inclusion criteria and that recounted the development, validation, or adaptation of 61 different measures of health care quality and responsiveness. Numerous measures exhibited significant overlap with an existing conceptual framework for client experience, but few measures were used across health areas.

Discussion:

Content of many of the measures identified in this review mapped closely to domains that appear in an existing framework for client experience of care, including effective communication, respect and dignity, and emotional support. These findings support the notion that developing a generalizable measure of client experience of care could be technically feasible.

INTRODUCTION

The Sustainable Development Goals (SDGs) prioritize the development of systems of universal coverage of high-quality essential health services.1,2 This is especially relevant to low- and middle-income countries (LMICs) in which greater emphasis has been placed on the quality of services and patient-centeredness of these services.2–4 People’s care experience has become widely recognized as a foundational element to the provision of high-quality health services for the value it places on delivering humane, respectful care and for its direct and indirect effects on clinical effectiveness and patient safety.5–8 Despite its importance, client experience is rarely reflected in how health systems are designed and assessed. To make meaningful progress on delivering high-quality patient-centered care, health systems actors need valid measures of client experience of care.

In this article, we choose to employ the term “client” instead of “patient” when discussing experience of care. This choice reflects the term’s wider suitability across different states of health, person-provider relationships, and health delivery channels. While various organizations and researchers have conceptualized client experience of care in different ways,9–11 the common thread woven through all these definitions is that client experience encompasses the spectrum of interactions that a person may have with a health care system across the continuum of care that influence their perceptions of the quality of that care.

A widely accepted conceptual model for client experience of care has yet to be developed, leaving open the need for further research into the constituent dimensions and interactions that shape an individual’s perception of their care journey. However, Larson and colleagues have proposed that client experience of care is broadly composed of 3 domains: effective communication; respect and dignity; and emotional support (Figure 1).12 Similar domains appear in related frameworks for health care quality, including the World Health Organization’s maternal quality of care framework13 and Judith Bruce’s family planning quality framework.14 Within the Larson model, patient needs, expectations, and values, along with interpersonal and facility-level factors such as the ease of seeking care or obtaining appointments, the availability of pertinent information, and the quality of communication with health care providers and administrative staff can all affect a client’s experience of care. Although frameworks such as the World Health Organization’s maternal quality of care framework and Judith Bruce’s family planning quality framework are useful for specific health areas, Larson and colleagues’ framework was selected for this literature review because it provides a more generalized primer for understanding the constituent elements of client experience of care, offering a helpful foundation for the development of a more refined measurement approach.

FIGURE 1
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1

Conceptual Framework for Person-Centered Measures of Health System Quality and Responsivenessa

a Source: Larson et al., 201912

Considered from a rights-based perspective alone, all people deserve to receive care characterized by autonomy, dignity, respect, and emotional support.3 However, the concept of client experience takes on even greater saliency for its association with improved health outcomes;15–17 greater satisfaction and confidence in one’s health system;3,18 and improved clinical effectiveness and increased patient safety.6 Despite the importance of patient-reported measures of health care quality and their relevance to essentially all areas of health service delivery, to our best knowledge there exists no common or standard approach to measuring client experience of care that is widely used in multiple health areas across LMICs. This fragmented approach to measuring client experience fails to capture the fundamental reality of how patients actually experience health care.3

From a client’s perspective, a health facility is a holistic environment where they seek care, not a collection of disconnected service areas. When clients visit a health post, they are not thinking about separate domains or categorical metrics; they are experiencing an integrated journey of receiving care. A client-centered approach to measuring service quality recognizes this holistic experience. While different health areas possess unique characteristics that may influence clients’ experiences, there are common features of client experience that transcend these domain-specific distinctions. Leveraging these commonalities and facilitating knowledge and best-practice sharing across health areas is more likely to occur when a common measurement approach is available.

Action-oriented measurement is central to learning health systems.3 A generalizable approach to measuring client experience of care could offer substantial advantages to health systems. First, it would provide standardized and comparable assessment tools that could transcend specific health area, geographic, and cultural boundaries. By utilizing a set of common measures, one could obtain consistent data across an array of health areas and geographies, enabling meaningful comparisons and identification of patterns and trends. Doing so would facilitate the identification of best practices and areas for improvement. This evidence could similarly inform the development and implementation of more effective and contextually appropriate quality improvement interventions. Furthermore, a generalizable approach to measuring client experience of care would facilitate accountability and transparency.

This review aims to identify measures and domains that possess broad geographic and health area relevance, thereby enhancing our understanding of the essential features necessary for a comprehensive, broadly applicable approach to measuring client experience of care. By analyzing existing measures related to client experience of care, we can identify common themes and domains that resonate across diverse populations and health care settings. The objectives of this narrative review are to examine the domains encompassed in existing measures of health care service experience, person centeredness, and satisfaction with care used across 6 areas of health services and to describe how these measures have been tested and used across multiple health areas and geographic contexts. This process will inform the development of a new measure that encompasses crucial aspects of client experience while remaining adaptable to various contexts.

METHODS

A narrative review methodology was employed to synthesize and summarize evidence on existing measures related to client experience among adult and pediatric client populations in 6 health areas: malaria, sexual and reproductive health (SRH), HIV, primary care, noncommunicable diseases (NCDs), and health services marketing and management. No limitations were placed on the type of facility in which measures were intended for use. Primary care refers to models of health care that facilitate accessible first-contact care designed to optimize population health.19 A narrative review approach to our objectives was chosen because the method allows authors a means to conduct a scholarly summary, interpretation, and critique of the available literature with the overall goal of crafting an authoritative and convincing argument.20

Given the heterogeneity of topic areas, a phased approach was taken to our database searches. An initial rapid review was conducted in 2021 on malaria, SRH, HIV, and primary care health areas.21 Databases searched during this phase included PubMed, Web of Science, and Global Index Medicus. An expanded follow-on review of the same health areas—malaria, SRH, HIV, and primary care—was conducted in 2023 in the same databases as well as Ovid MEDLINE. Literature exploring the development and validation of person-centered measures in NCD care was conducted in 2023 in PubMed and Web of Science. Lastly, owing to their business and marketing focus, ABI/INFORM and Business Source Ultimate, 2 of the most comprehensive databases on marketing and management research, were searched in 2023 to identify literature related to measures developed for use in health services marketing and management.

Our review considered peer-reviewed studies published between January 2000 and January 2023. We considered quantitative, qualitative, and mixed-methods research focused on client experiences in malaria, SRH, HIV, primary care, and NCDs. We also included studies exploring client experience for the purposes of improving health services marketing and management. Studies were eligible if they reported on the validation of a new client experience measure or the adaptation and validation of an existing measure in a novel population or cultural context in adult patient populations. Measures were included if they were interpreted as reflecting client experiences by the publications’ authors. Additionally, to supplement our initial literature search, we employed a snowball approach by examining the reference lists of the identified articles to identify additional relevant literature.

The client experience search terms used included ‘experience of care,’ ‘care experience,’ ‘patient experience,’ ‘user experience,’ ‘client experience, and ‘consumer experience.’ In the second review conducted into the malaria, SRH, HIV, and primary care health areas, the term ‘patient centered care’ was also included. To these were added search terms specific to each health area. Given the depth of literature known to emanate from LMICs in the health areas of malaria, SRH, HIV, and primary care, an LMIC filter was added to these searches. This same filter was not applied to searches for measures related to NCD care and health services marketing and management because of concerns that much of the research in these 2 areas continues to be conducted primarily in upper-income countries. Search terms were adapted as appropriate to the 5 databases.

One reviewer screened the titles and abstracts of identified articles to determine their relevance. Full-text articles meeting the inclusion criteria were retrieved and assessed for eligibility. The reviewers critically appraised the selected articles to evaluate their relevance and contribution to the topic. Data extraction was conducted using standardized data capture forms designed to collect relevant information from the selected articles. This included study characteristics (e.g., study design, sample size, setting), measure attributes, and domains. The extracted data were analyzed thematically and synthesized to identify gaps in the literature.

To compare measures’ overlapping and complementary domains to those theorized to make up the construct of client experience of care, existing measures’ domains were mapped to 3 client experience of care sub-domains—effective communication, respect and dignity, and emotional support—as defined in Larson and colleagues’ “Framework for person-centered measures of health system quality and responsiveness.”12 This exercise allowed the authors to examine how existing measures of client experience relate to and contrast with a prevailing conceptualization of client experience of care and to observe how measures of these domains have been adopted for use across health areas.

RESULTS

In this narrative review, we identified a total of 73 articles that met our inclusion criteria. These articles collectively covered 61 different measures of client experience. Table 1 describes the number of measures by health area as well as the number of citations describing these measures. Table 2 summarizes the domains extracted from the measures and illustrates how, among those that were found to be conceptually similar to Larson and colleagues’ (2018) client experience of care domains, these domains were categorized. Table 3 provides the measure names; the countries in which available literature describes their development, validation, or adaptation; and how each measure’s domains overlap with those of our conceptual framework for client experience of care’s domains. Measures in Table 3 are classified by the health area search in which they were identified.

View this table:
  • View inline
  • View popup
TABLE 1.

Number of Client Experience Measures and Citations in Included Articles, by Health Area

View this table:
  • View inline
  • View popup
TABLE 2.

Client Experience Domains of the Measurement Tools in the Included Articles and Their Overlap With Larson and Colleagues’ Domainsa

View this table:
  • View inline
  • View popup
TABLE 3.

Client Experience Measures in Included Articles, by Health Area and Measure Domains

Sexual and Reproductive Health

The review identified 12 measures developed, validated, or adapted to measure the person-centeredness of many SRH services in various country contexts. Measures assessing the person-centeredness of maternal care services were identified with the greatest frequency,22–24,26,27,32 followed by those assessing contraceptive care quality.28–31,33,35 One measure included in the review was designed to evaluate the person-centeredness of abortion care services.34 Many of the domains of these measures mapped onto the client experience of care framework. In all but 2 cases, measures contained domains aligning with effective communication. All but one measure included domains that aligned closely with respect and dignity. Despite these areas of overlap, only 4 measures contained domains related to emotional support. Three measures, including domains related to the concept of emotional support, were designed to evaluate the quality of maternal care while the remaining measures were devoted to assessing contraceptive care quality.22–26,30

In regard to domains not classifiable within the 3 domains of our conceptual framework for client experience of care, 2 measures included domains devoted to assessing whether providers met professional standards or recognized standards of care.25–27 Other domains that did not map directly onto the client experience of care included domains devoted to neglect, pain management,25,26 continuity of care,29 affordability,27 and overall satisfaction,31 timeliness of care,32 and health facility environment.33

HIV

We identified 3 measures in development, validation, or adaptation studies for use in HIV/AIDS care. A 2014 study reported on the development of a health system responsiveness survey in Tanzania for use with adults living with HIV who were on antiretroviral therapy.36 The survey includes domains that address effective communication, respect and dignity, and emotional support. Other domains included access and perceived quality.

The second measure was developed using CARE’s Community Score Card (CSC), a widely used approach for participatory community assessment and empowerment, with pregnant and breastfeeding women living with HIV in Malawi.37,96 Domains included in this measure align with the client experience of care framework’s domains of respect and dignity and emotional support.97 Finally, QUOTE-HIV,38,39 a measure of care quality reported from a patient’s perspective, contains measurement domains aligning with the client experience of care domains of effective communication, respect and dignity, and emotional support. The QUOTE-HIV also includes domains related to facility quality and waiting times.

Primary Care

We identified validation studies for 2 measures in primary care. Originally developed in the United States,98,99 the Primary Care Assessment Tool (PCAT) has since been adopted in at least 10 other countries, including Brazil, China, Malawi, South Africa, South Korea, Spain, Taiwan, Tibet, and Vietnam.41–45,100 The PCAT is designed for use in primary care settings, particularly community health centers. Its domains overlap with the client experience of care framework domains, and it also includes domains related to first contact care, comprehensiveness, and community orientation. The Patient Assessment of Healthcare for Outpatient Care (O-PAHC), which was adapted for use in Ethiopia among adults receiving outpatient care at hospitals or health centers, contains domains that map onto the effective communication domain as well as additional domains of quality that evaluate facilities’ physical environments.46

Noncommunicable Diseases

We identified 21 patient-reported measures of service quality for use in NCD care and management. Only 2 of the 20 instruments were validated in patient populations in LMICs;61,64 the remainder were validated for use in European or North American countries. The specific NCD area of most intense inquiry was cancer, with two-thirds of referenced studies devoted to measuring care quality for breast, colorectal, blood, prostate, lung, and skin cancers.47–50,52,54,63–71 However, we also identified measures devoted to patients managing other chronic conditions such as type 2 diabetes mellitus, cardiovascular disease, pulmonary disease, dementia, and orthopedic conditions.51,55–58,61,72

The majority of measures were developed and validated within a single setting and against localized treatment populations. Only one tool, the Patient Assessment of Chronic Illness Care (PACIC) questionnaire, was validated and adapted to measure outpatient chronic care experiences in more than one country context. PACIC was developed to measure quality of care for in patients with type 2 diabetes or cardiovascular disease and was tested in Danish, Dutch, American, and French patient populations.55–58,62 The measure has also been adapted for use among Malaysian patient populations.59–61 Measurement domains of the PACIC overlap with the client experience of care framework domain of effective communication. The measures also include domains devoted to the design of delivery systems or practices.

Despite the variability of instruments present across the literature, the Institute of Medicine (IOM) Patient-Centeredness framework influenced a high proportion of the measures identified. Six measures—Quality of Patient-Centered Cancer Care (QPCCC); CONTACT-Patient-Centered Care Questionnaire (CONTACT-PCCQ); Patient Centered Communication in Cancer Care (PCCCC); Patient-Centered Measures of End-of-Life Care Quality for Children with Cancer; and Patient-Centered Primary Care—directly applied the IOM’s Patient-Centeredness framework to their design, leading to domains that showed a high degree of alignment across the domains of effective communication, respect and dignity, and emotional support.64,67,68,70–72 Other domains that appeared frequently in the instruments included timeliness of care, skills of medical professionals overseeing care, and the effectiveness of treatment.48,49,53,69

Health Services Marketing and Management

We identified 23 articles describing the development and validation of 23 measures devoted to measuring both clinical and non-clinical components of health services marketing and management. Measures emanated from countries of varying levels of economic development. Six measures were developed in LMICs,75,80–82,85,95 while the remaining 17 were developed and validated in high-income countries.73,74,76–79,83,84,86–94 Measures devoted to evaluating the quality of acute inpatient and outpatient health services made up a majority of the articles identified.73–80,82–86,88–92,94,95 Among these, a handful of articles reported on the validation of measures meant to assess the quality of medical services from the perspective of foreign patients for purposes of evaluating medical tourism services,85,86,94 and one sought to assess specifically inpatient satisfaction with food service.89 Lastly, 2 measures of the informational quality and responsiveness of mHealth resources were also found.81,87

Most of the measures described in the articles overlapped conceptually with the client experience of care conceptual model. Thirteen measures reported measuring attributes of effective communication; 17 included concepts related to respect and dignity; and 8 considered emotional support in their service quality frameworks. One article describing the development of a scale designed to measure the quality of continuity of care among ambulatory patients in Poland had constituent domains that overlapped with all the domains of the client experience of care framework. Additionally, a number of measures included domains related to the cleanliness of the physical care environment.73,74,82,84,91 Along with domains aligning with the core experience of care domains, the measures also included domains devoted to technical and outcome quality.73,75,79,83,87 The inclusion of these domains support the observation that such measures of client satisfaction are frequently concerned with the end product of the client care journey.

DISCUSSION

In our review of existing measures, we observed significant conceptual overlap with our framework for client experience. Nearly all the examined measures demonstrated partial, if not complete, alignment with our established domains of effective communication, respect and dignity, and emotional support. Beyond these core domains, our analysis revealed several additional key dimensions that warrant serious consideration in understanding clients’ experiences of health care services. The most prominently recurring dimensions across all health areas included facilities33,46,69,82,86,91 and care access,36,63,72,83,85,87 timeliness,32,38,39,53,67,69,91,101 and effectiveness.29,53,67,82,93

These dimensions consistently emerged as significant factors influencing client experiences, suggesting they are fundamental components of health service quality. This finding indicates that well-established dimensions from existing health service quality frameworks are equally vital when assessing health care services from a client-centered perspective.13,102,103 The recurring nature of these dimensions suggests they are not peripheral considerations but core elements that substantially contribute to clients’ overall experience and perception of health care quality.

There is growing recognition of the utility and need for generalizable measures of person-centered health service quality and responsiveness.104–106 As opposed to the current fragmented state of health area-specific measures, a generalized measurement approach that establishes a common framework and language can facilitate evaluation and discussion of health service quality across different programs. Widespread use of such measures to improve service delivery has the potential to contribute to the construction of more trustworthy, transparent, and responsive health systems.

While some measures exhibit significant overlap with our conceptual understanding of client experience, their development, validation, and use have been predominantly limited to specific health areas. As a result, very few measures have achieved widespread adoption across multiple health areas, and no single validated measure stands out as being well-suited of serving as a general, cross-cutting assessment of client experience in LMICs.

The limited generalizability of existing measures poses a challenge for comprehensively capturing the client experience of care across diverse health care settings. However, the emergence of similar domains across various health areas suggests there is the potential for developing a health area-agnostic approach to measuring client experience of care. The Larson framework proved useful in analyzing the measures examined in this review, offering a structured approach to measure appraisal. However, the broad categories within the framework do not completely account for the numerous features that hold significance for individuals during their health care journeys, as evidenced by the measures’ many quality domains that could not be easily categorized into the framework's domains but may still be relevant to the construct of client experience of care. To facilitate the development of a generalizable measure, it is crucial to further explore and define the construct of client experience of care and elucidate the constituent domains and sub-domains that are most important to people seeking care and actionable for health systems actors.

In the development of a novel measure for client experience of care, it is imperative to leverage routine health information systems (RHIS) and mHealth service modalities to comprehensively capture the entire care seeking journey. Routine health information systems have become essential tools for health systems strengthening in LMICs. However, using RHIS data for decision-making remains a challenge in many countries, in part, because of fragmented data collection tools and definitions.107 The introduction of a novel measure for client experience of care could enhance data-driven decision-making by bolstering the quality of information gathered through RHIS. Additionally, the popularity and use of digital and mobile health technologies continues to increase in LMICs, many of which involve direct client interaction, making it possible to now widely deploy a generalized measure of client experience of care.108 The ability to measure clients’ experiences and preferences across both time and a variety of health service modalities can provide a more nuanced understanding of the client experience from start to finish.

While the goal might be a single health area-agnostic measure of client experience of care, it is important to not let this ambition obscure the important differences in the delivery of different health services. Finding a balance between measuring a universal set of domains important for client experience and ensuring that those domains are relevant to the cultural and real-world needs of the particular context in which they are being deployed should remain the priority.

Limitations

It is important to acknowledge certain limitations of this review. The studies included in this review were limited to those published within a specified time frame and retrieved from databases accessible to the authors, which may have introduced potential selection bias. Additionally, the heterogeneity of the identified studies in regard to their design and settings may limit the generalizability of these findings. We did not conduct a full systematic review, and the pragmatic phased nature of the review may mean that some relevant studies were excluded. The phased approach, however, allowed us to refine our understanding of the evidence map—and gaps—for a topic whose definition and scope resisted clear delineation at the outset.

CONCLUSION

Patient-centered measures of health service quality have been developed and used in specific health areas and contexts, yet a comprehensive, cross-cutting measurement approach for client experience of care is needed if we are to advance our understanding of health service quality from the client’s perspective, conduct meaningful comparisons across different health care settings, and equip health systems with the data needed to drive person-centered improvements. The development of such a measure requires further conceptual refinement, including the constituent domains and sub-domains, and eventual pilot testing of a measurement tool. We propose a collaborative process in which key actors in the global health community, alongside the voices of clients in health systems, are heard and fed into usable, actionable, and valid measures of client experience of care. We see a more robust and cohesive approach to conceptualizing and measuring client experience as a necessary precursor to advancing toward person-centered health systems. We hope that advancing measurement approaches will unlock opportunities for a range of actors, from donors to national governments to community-based organizations, to integrate client experience measurement into their work, supporting more person-centered and responsive health systems.

Acknowledgments

We thank Erica Felker-Kantor, Eva Lathrop, Seth McGovern, and Jennifer Wheeler for their review and feedback on a draft of the manuscript.

Funding

This review was supported by a grant from the Maverick Collective by PSI.

Author contributions

Andrew Corley: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Supervision, Writing - original draft, Writing - review & editing. Susannah Gibbs: Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Writing - original draft, Writing - review & editing. Nirali Chakraborty: Supervision, Writing - review & editing. Lara Fields: Formal analysis, Investigation, Writing - original draft. Giannina Chávez Ackermann: Formal analysis, Investigation, Writing - original draft. Jasmine Coulson: Formal analysis, Investigation, Writing - original draft. Yixin Zhang: Formal analysis, Investigation, Writing - original draft. Paul Bouanchaud: Conceptualization, Project administration, Supervision, Writing - review & editing. All authors reviewed and approved the final version of the manuscript.

Competing interests

None declared.

Notes

Peer Reviewed

Cite this article as: Corley A, Gibbs S, Chakraborty N, et al. Assessing the generalizability of client experience measurement tools in low- and middle-income countries: a narrative review. Glob Health Sci Pract. 2025;13(2):e2300364. https://doi.org/10.9745/GHSP-D-23-00364

  • Received: August 26, 2023.
  • Accepted: October 1, 2025.
  • Published: December 31, 2025.
  • © Corley et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit https://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-23-00364

REFERENCES

  1. 1.↵
    UN General Assembly. Transforming Our World: The 2030 Agenda for Sustainable Development. A/RES/70/1, 21 October 2015. https://www.refworld.org/docid/57b6e3e44.html
  2. 2.↵
    United Nations Statistics Division. Target 3.8: Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all. Published online 2023. https://unstats.un.org/sdgs/metadata/files/Metadata-03-08-01.pdf
  3. 3.↵
    1. Kruk ME,
    2. Gage AD,
    3. Arsenault C, et al
    . High-quality health systems in the Sustainable Development Goals era: time for a revolution. Lancet Glob Health. 2018;6(11):e1196–e1252. doi:10.1016/S2214-109X(18)30386-3. pmid:30196093
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Mahendradhata Y,
    2. Souares A,
    3. Phalkey R,
    4. Sauerborn R
    . Optimizing patient-centeredness in the transitions of healthcare systems in low-and middle-income countries. BMC Health Serv Res. 2014;14:386. doi:10.1186/1472-6963-14-386. pmid:25212684
    OpenUrlCrossRefPubMed
  5. 5.↵
    Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, DC: National Academies Press. (US); 2001. doi:10.17226/10027. pmid:25057539
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Doyle C,
    2. Lennox L,
    3. Bell D
    . A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open. 2013;3(1):e001570. doi:10.1136/bmjopen-2012-001570. pmid:23293244
    OpenUrlAbstract/FREE Full Text
  7. 7.
    1. Abdalla R,
    2. Pavlova M,
    3. Groot W
    . Association of patient experience and the quality of hospital care. Int J Qual Health Care. 2023;35(3):mzad047. doi:10.1093/intqhc/mzad047. pmid:37405854
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. de Lazzari E,
    2. Berrocal L,
    3. Fernández E, et al
    . Perception of quality of care using patient reported experience measures (PREMs) in a cohort of adults with HIV: a cross-sectional study. Medicine (Baltimore). 2023;102(14):e33442. doi:10.1097/MD.0000000000033442. pmid:37026943
    OpenUrlCrossRefPubMed
  9. 9.↵
    Agency for Healthcare Research and Quality. What Is Patient Experience? Published online October 2016; last reviewed March 2025. https://www.ahrq.gov/cahps/about-cahps/patient-experience/index.html
  10. 10.
    1. Ahmed F,
    2. Burt J,
    3. Roland M
    . Measuring patient experience: concepts and methods. Patient. 2014;7(3):235–241. doi:10.1007/s40271-014-0060-5. pmid:24831941
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Wolf JA,
    2. Niederhauser V,
    3. Marshburn D,
    4. LaVela SL
    . Reexamining “defining patient experience”: the human experience in healthcare. Patient Exp J. 2021;8(1):16–29. doi:10.35680/2372-0247.1594
    OpenUrlCrossRef
  12. 12.↵
    1. Larson E,
    2. Sharma J,
    3. Bohren MA,
    4. Tunçalp Ö
    . When the patient is the expert: measuring patient experience and satisfaction with care. Bull World Health Organ. 2019;97(8):563–569. doi:10.2471/BLT.18.225201. pmid:31384074
    OpenUrlCrossRefPubMed
  13. 13.↵
    World Health Organization (WHO). Standards for Improving Quality of Maternal and Newborn Care in Health Facilities. Geneva: WHO; 2016. https://www.who.int/publications/i/item/9789241511216
  14. 14.↵
    1. Bruce J
    . Fundamental elements of the quality of care: a simple framework. Stud Fam Plann. 1990;21(2):61–91. pmid:2191476
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Heestermans T,
    2. Browne JL,
    3. Aitken SC,
    4. Vervoort SC,
    5. Klipstein-Grobusch K
    . Determinants of adherence to antiretroviral therapy among HIV-positive adults in sub-Saharan Africa: a systematic review. BMJ Glob Health. 2016;1(4):e000125. doi:10.1136/bmjgh-2016-000125. pmid:28588979
    OpenUrlAbstract/FREE Full Text
  16. 16.
    NHS Institute for Innovation and Improvement. The Patient Experience Book. Coventry, UK: NHS Institute for Innovation and Improvement; 2013. https://www.england.nhs.uk/improvement-hub/wp-content/uploads/sites/44/2017/11/Patient-Experience-Guidance-and-Support.pdf
  17. 17.↵
    1. Street Jr RL,
    2. Makoul G,
    3. Arora NK,
    4. Epstein RM
    . How does communication heal? Pathways linking clinician–patient communication to health outcomes. Patient Educ Couns. 2009;74(3):295–301. doi:10.1016/j.pec.2008.11.015. pmid:19150199
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Berwick DM
    . What ‘patient-centered’ should mean: confessions of an extremist. Health Aff (Millwood). 2009;28(4):w555–w565. doi:10.1377/hlthaff.28.4.w555. pmid:19454528
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    World Health Organization (WHO). A Vision for Primary Health Care in the 21st Century: Towards Universal Health Coverage and the Sustainable Development Goals. Geneva: WHO; 2018. https://apps.who.int/iris/bitstream/handle/10665/328065/WHO-HIS-SDS-2018.15-eng.pdf
  20. 20.↵
    1. Greenhalgh T,
    2. Thorne S,
    3. Malterud K
    . Time to challenge the spurious hierarchy of systematic over narrative reviews? Eur J Clin Invest. 2018;48(6):e12931. doi:10.1111/eci.12931. pmid:29578574
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Gibbs S,
    2. Wheeler J,
    3. McGovern S,
    4. Tipper E,
    5. Bouanchaud P,
    6. LaCroix E
    . Measuring Client Experience of Care: A Strategic Evidence Rapid Review. Washington, DC: Population Services International; 2021. https://media.psi.org/wp-content/uploads/2021/11/30234118/Measuring_client_experience_of_care.pdf
  22. 22.↵
    1. Afulani PA
    . Validation of the person-centered maternity care scale in India. Reprod Health. 2018;15(1):147. doi:10.1186/s12978-018-0591-7. pmid:30157877
    OpenUrlCrossRefPubMed
  23. 23.
    1. Afulani PA,
    2. Diamond-Smith N,
    3. Golub G,
    4. Sudhinaraset M
    . Development of a tool to measure person-centered maternity care in developing settings: validation in a rural and urban Kenyan population. Reprod Health. 2017;14(1):118. doi:10.1186/s12978-017-0381-7. pmid:28938885
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Afulani PA,
    2. Feeser K,
    3. Sudhinaraset M,
    4. Aborigo R,
    5. Montagu D,
    6. Chakraborty N
    . Toward the development of a short multi-country person-centered maternity care scale. Int J Gynaecol Obstet. 2019;146(1):80–87. doi:10.1002/ijgo.12827. pmid:31004349
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Bohren MA,
    2. Vogel JP,
    3. Fawole B, et al
    . Methodological development of tools to measure how women are treated during facility-based childbirth in four countries: labor observation and community survey. BMC Med Res Methodol. 2018;18(1):132. doi:10.1186/s12874-018-0603-x. pmid:30442102
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Bohren MA,
    2. Mehrtash H,
    3. Fawole B, et al
    . How women are treated during facility-based childbirth in four countries: a cross-sectional study with labour observations and community-based surveys. Lancet. 2019;394(10210):1750–1763. doi:10.1016/S0140-6736(19)31992-0. pmid:31604660
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Gurung R,
    2. Ruysen H,
    3. Sunny AK, et al
    . Respectful maternal and newborn care: measurement in one EN-BIRTH study hospital in Nepal. BMC Pregnancy Childbirth. 2021;21(Suppl 1):228. doi:10.1186/s12884-020-03516-4. pmid:33765971
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Holt K,
    2. Zavala I,
    3. Quintero X,
    4. Hessler D,
    5. Langer A
    . Development and validation of the Client‐Reported Quality of Contraceptive Counseling Scale to Measure quality and fulfillment of rights in family planning programs. Stud Fam Plann. 2019;50(2):137–158. doi:10.1111/sifp.12092. pmid:31120147
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Jain A,
    2. Aruldas K,
    3. Mozumdar A,
    4. Tobey E,
    5. Acharya R
    . Validation of two quality of care measures: results from a longitudinal study of reversible contraceptive users in India. Stud Fam Plann. 2019;50(2):179–193. doi:10.1111/sifp.12093. pmid:31120148
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Johns NE,
    2. Dixit A,
    3. Ghule M, et al
    . Validation of the Interpersonal Quality of Family Planning Scale in a rural Indian setting. Contracept X. 2020;2:100035. doi:10.1016/j.conx.2020.100035. pmid:32793878
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Koladycz R,
    2. Fernandez G,
    3. Gray K,
    4. Marriott H
    . The Net Promoter Score (NPS) for insight into client experiences in sexual and reproductive health clinics. Glob Health Sci Pract. 2018;6(3):413–424. doi:10.9745/GHSP-D-18-00068. pmid:30072372
    OpenUrlAbstract/FREE Full Text
  32. 32.↵
    1. Sheferaw ED,
    2. Mengesha TZ,
    3. Wase SB
    . Development of a tool to measure women’s perception of respectful maternity care in public health facilities. BMC Pregnancy Childbirth. 2016;16(1):67. doi:10.1186/s12884-016-0848-5. pmid:27026164
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Sudhinaraset M,
    2. Afulani PA,
    3. Diamond-Smith N,
    4. Golub G,
    5. Srivastava A
    . Development of a person-centered family planning scale in India and Kenya. Stud Fam Plann. 2018;49(3):237–258. doi:10.1111/sifp.12069. pmid:30069983
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Sudhinaraset M,
    2. Landrian A,
    3. Afulani PA,
    4. Phillips B,
    5. Diamond-Smith N,
    6. Cotter S
    . Development and validation of a person-centered abortion scale: the experiences of care in private facilities in Kenya. BMC Womens Health. 2020;20(1):208. doi:10.1186/s12905-020-01071-w. pmid:32950052
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Dey AK,
    2. Averbach S,
    3. Dixit A, et al
    . Measuring quality of family planning counselling and its effects on uptake of contraceptives in public health facilities in Uttar Pradesh, India: a cross-sectional analysis. PLoS One. 2021;16(5):e0239565. doi:10.1371/journal.pone.0239565. pmid:33945555
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Poles G,
    2. Li M,
    3. Siril H, et al
    . Factors associated with different patterns of nonadherence to HIV care in Dar es Salaam, Tanzania. J Int Assoc Provid AIDS Care. 2014;13(1):78–84. doi:10.1177/1545109712467068. pmid:23269515
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Laterra A,
    2. Callahan T,
    3. Msiska T, et al
    . Bringing women’s voices to PMTCT CARE: adapting CARE’s Community Score Card© to engage women living with HIV to build quality health systems in Malawi. BMC Health Serv Res. 2020;20(1):679. doi:10.1186/s12913-020-05538-2. pmid:32698814
    OpenUrlCrossRefPubMed
  38. 38.↵
    1. Hekkink CF,
    2. Sixma HJ,
    3. Wigersma L, et al
    . QUOTE-HIV: an instrument for assessing quality of HIV care from the patients’ perspective. Qual Saf Health Care. 2003;12(3):188. doi:10.1136/qhc.12.3.188. pmid:12792008
    OpenUrlAbstract/FREE Full Text
  39. 39.↵
    1. Lima TC de,
    2. Freitas MIP de
    . Cultural adaptation of Quality Of Care Through The Patient’s Eyes -QUOTE-HIV. Rev Bras Enferm. 2018;71(1):47–56. doi:10.1590/0034-7167-2016-0113. pmid:29324944
    OpenUrlCrossRefPubMed
  40. 40.
    1. Manga N,
    2. Sayed AR,
    3. Bhagwan S,
    4. Bresick G,
    5. le Grange C
    . Adaptation and cross-cultural validation of the United States Primary Care Assessment Tool (expanded version) for use in South Africa. Afr J Prim Health Care Fam Med. 2015;7(1):e1–e11. doi:10.4102/phcfm.v7i1.783. pmid:26245610
    OpenUrlCrossRefPubMed
  41. 41.↵
    1. Dullie L,
    2. Meland E,
    3. Hetlevik Ø,
    4. Mildestvedt T,
    5. Gjesdal S
    . Development and validation of a Malawian version of the primary care assessment tool. BMC Fam Pract. 2018;19(1):63. doi:10.1186/s12875-018-0763-0. pmid:29769022
    OpenUrlCrossRefPubMed
  42. 42.
    1. Macinko J,
    2. Almeida C,
    3. De Sá PK
    . A rapid assessment methodology for the evaluation of primary care organization and performance in Brazil. Health Policy Plan. 2007;22(3):167–177. doi:10.1093/heapol/czm008. pmid:17400576
    OpenUrlCrossRefPubMed
  43. 43.
    1. Wang W,
    2. Haggerty J
    . Development of primary care assessment tool-adult version in Tibet: implication for low- and middle-income countries. Prim Health Care Res Dev. 2019;20:e94. doi:10.1017/S1463423619000239. pmid:32800017
    OpenUrlCrossRefPubMed
  44. 44.
    1. Yang H,
    2. Shi L,
    3. Lebrun LA,
    4. Zhou X,
    5. Liu J,
    6. Wang H
    . Development of the Chinese primary care assessment tool: data quality and measurement properties. Int J Qual Health Care. 2013;25(1):92–105. doi:10.1093/intqhc/mzs072. pmid:23175535
    OpenUrlCrossRefPubMed
  45. 45.↵
    1. Hoa NT,
    2. Tam NM,
    3. Peersman W,
    4. Derese A,
    5. Markuns JF
    . Development and validation of the Vietnamese primary care assessment tool. PLoS One. 2018;13(1):e0191181. doi:10.1371/journal.pone.0191181. pmid:29324851
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Webster TR,
    2. Mantopoulos J,
    3. Jackson E, et al
    . A brief questionnaire for assessing patient healthcare experiences in low-income settings. Int J Qual Health Care. 2011;23(3):258–268. doi:10.1093/intqhc/mzr019. pmid:21531989
    OpenUrlCrossRefPubMed
  47. 47.↵
    1. Harley C PS
    2. Kenyon L,
    3. Daffu O’Reilly A,
    4. Velikova G
    . Evaluating the experiences and support needs of people living with chronic cancer: development and initial validation of the Chronic Cancer Experiences Questionnaire (CCEQ). BMJ Support Palliat Care. 2019;9(1):e15. doi:10.1136/bmjspcare-2015-001032. pmid:27511001
    OpenUrlAbstract/FREE Full Text
  48. 48.↵
    1. Damman OC,
    2. Hendriks M,
    3. Sixma HJ
    . Towards more patient centred healthcare: A new Consumer Quality Index instrument to assess patients’ experiences with breast care. Eur J Cancer. 2009;45(9):1569–1577. doi:10.1016/j.ejca.2008.12.011. pmid:19167212
    OpenUrlCrossRefPubMed
  49. 49.↵
    1. Booij JC,
    2. Zegers M,
    3. Evers PM,
    4. Hendriks M,
    5. Delnoij DM,
    6. Rademakers JJ
    . Improving cancer patient care: development of a generic cancer consumer quality index questionnaire for cancer patients. BMC Cancer. 2013;13:203. doi:10.1186/1471-2407-13-203. pmid:23617741
    OpenUrlCrossRefPubMed
  50. 50.↵
    1. Fernstrom KM,
    2. Shippee ND,
    3. Jones AL,
    4. Britt HR
    . Development and validation of a new patient experience tool in patients with serious illness. BMC Palliat Care. 2016;15(1):99. doi:10.1186/s12904-016-0172-x. pmid:28038669
    OpenUrlCrossRefPubMed
  51. 51.↵
    1. Bamm E,
    2. Rosenbaum P,
    3. Stratford P
    . Validation of the measure of processes of care for adults: a measure of client-centred care. In J Quality Health Care. 2010;22(4):302–309. doi:10.1093/intqhc/mzq031. pmid:20543207
    OpenUrlCrossRefPubMed
  52. 52.↵
    1. Rucci P,
    2. Foglino S,
    3. Bravi F, et al
    . Validation of the OPportunity for Treatment In ONcology (OPTION) questionnaire measuring continuity of care. Eur J Cancer Care (Engl) 2018;27(1):e12765. doi:10.1111/ecc.12765. pmid:28895233
    OpenUrlCrossRefPubMed
  53. 53.↵
    1. Waldreus N,
    2. Jaarsma T,
    3. Ivarsson B,
    4. Stromberg A,
    5. Arestedt K,
    6. Kjellstrom B
    . Development and validation of a questionnaire to measure patient’s experiences of health care in pulmonary arterial hypertension outpatient clinics. Heart Lung Circ. 2019;28(7):1074–1081. doi:10.1016/j.hlc.2018.07.011. pmid:30139595
    OpenUrlCrossRefPubMed
  54. 54.↵
    1. Almeida IM,
    2. Fonseca IS,
    3. Mota DM,
    4. Beirão IB,
    5. Moreira SM
    . Communication in clinical practice, the perspective of patients with cancer: translation of the PACE (Patient Assessment of Cancer Communication Experiences) questionnaire to European Portuguese. Acta Med Port. 2022;35(11):807–815. doi:10.20344/amp.14352. pmid:35225784
    OpenUrlCrossRefPubMed
  55. 55.↵
    1. Cramm JM,
    2. Nieboer AP
    . Factorial validation of the patient assessment of chronic illness care (PACIC) and PACIC short version (PACIC-S) among cardiovascular disease patients in the Netherlands. Health Qual Life Outcomes. 2012;10:104. doi:10.1186/1477-7525-10-104. pmid:22937991
    OpenUrlCrossRefPubMed
  56. 56.
    1. Gugiu PC,
    2. Coryn C,
    3. Clark R,
    4. Kuehn A
    . Development and evaluation of the short version of the Patient Assessment of Chronic Illness Care instrument. Chronic Illn. 2009;5(4):268–276. doi:10.1177/1742395309348072. pmid:19933249
    OpenUrlCrossRefPubMed
  57. 57.
    1. Krucien N,
    2. Le Vaillant M,
    3. Pelletier-Fleury N
    . Adaptation and validation of the patient assessment of chronic illness care in the French context. BMC Health Serv Res. 2014;14:269. doi:10.1186/1472-6963-14-269. pmid:24947538
    OpenUrlCrossRefPubMed
  58. 58.↵
    1. Frølich A,
    2. Nielsen A,
    3. Glümer C, et al
    . Patients’ assessment of care for type 2 diabetes: results of the Patient Assessment of Chronic Illness Care scale in a Danish population. BMC Health Serv Res. 2021;21(1):1069. doi:10.1186/s12913-021-07051-6. pmid:34627257
    OpenUrlCrossRefPubMed
  59. 59.↵
    1. Lee YL,
    2. Lim YMF,
    3. Law KB,
    4. Sivasampu S
    . Intra-cluster correlation coefficients in primary care patients with type 2 diabetes and hypertension. Trials. 2020;21(1):530. doi:10.1186/s13063-020-04349-4. pmid:32546189
    OpenUrlCrossRefPubMed
  60. 60.
    1. Lim MT,
    2. Lim YMF,
    3. Teh XR,
    4. Lee YL,
    5. Ismail SA,
    6. Sivasampu S
    . Patient experience on self-management support among primary care patients with diabetes and hypertension. Int J Qual Health Care. 2019;31(7):37–43. doi:10.1093/intqhc/mzy252. pmid:30608582
    OpenUrlCrossRefPubMed
  61. 61.↵
    1. Abdul-Razak S,
    2. Ramli AS,
    3. Badlishah-Sham SF,
    4. Haniff J
    . Validity and reliability of the patient assessment on chronic illness care (PACIC) questionnaire: the Malay version. BMC Fam Pract. 2018;19(1):119. doi:10.1186/s12875-018-0807-5. pmid:30025525
    OpenUrlCrossRefPubMed
  62. 62.↵
    1. Cramm J,
    2. Nieboer A
    . Development and validation of the Older Patient Assessment of Chronic Illness Care (O-PACIC) scale after hospitalization. Soc Indic Res. 2014;116(3):959–969. doi:10.1007/s11205-013-0314-y
    OpenUrlCrossRef
  63. 63.↵
    1. Jean-Pierre P,
    2. Cheng Y,
    3. Paskett E, et al
    . Item response theory analysis of the patient satisfaction with cancer-related care measure: a psychometric investigation in a multicultural sample of 1,296 participants. Support Care Cancer. 2014;22(8):2229–2240. doi:10.1007/s00520-014-2202-7. pmid:24664356
    OpenUrlCrossRefPubMed
  64. 64.↵
    1. Doubova SV,
    2. Martinez-Vega IP,
    3. Gutiérrez-De-la-Barrera M, et al
    . Psychometric validation of a patient-centred quality of cancer care questionnaire in Mexico. BMJ Open. 2020;10(3):e033114. doi:10.1136/bmjopen-2019-033114. pmid:32184306
    OpenUrlAbstract/FREE Full Text
  65. 65.
    1. Mitchell K,
    2. Brassil K,
    3. Fujimoto K,
    4. Fellman B,
    5. Shay L,
    6. Springer A
    . Exploratory factor analysis of a patient-centered cancer care measure to support improved assessment of patients’ experiences. Value Health. 2020;23(3):351–361. doi:10.1016/j.jval.2019.10.004. pmid:32197731
    OpenUrlCrossRefPubMed
  66. 66.
    1. van Weert JC,
    2. Jansen J,
    3. de Bruijn GJ,
    4. Noordman J,
    5. van Dulmen S,
    6. Bensing JM
    . QUOTEchemo: a patient-centred instrument to measure quality of communication preceding chemotherapy treatment through the patient’s eyes. Eur J Cancer. 2009;45(17):2967–2976. doi:10.1016/j.ejca.2009.06.001. pmid:19615889
    OpenUrlCrossRefPubMed
  67. 67.↵
    1. Tzelepis F,
    2. Sanson-Fisher R,
    3. Hall A,
    4. Carey M,
    5. Paul C,
    6. Clinton-McHarg T
    . Development and psychometric evaluation of the Quality of Patient-Centered Cancer Care measure with hematological cancer survivors. Cancer. 2015;121(14):2383–2392. doi:10.1002/cncr.29384. pmid:25877682
    OpenUrlCrossRefPubMed
  68. 68.↵
    1. Kenis I,
    2. Janssen R,
    3. Wuyts S,
    4. Van Hecke A,
    5. Foulon V
    . CONTACT-Patient-Centred Care Questionnaire to assess care for patients treated with oral anticancer drugs: Development and psychometric validation. Eur J Cancer Care (Eng). 2022;31(6):e13643. doi:10.1111/ecc.13643. pmid:35793704
    OpenUrlCrossRefPubMed
  69. 69.↵
    1. Hashmi F,
    2. Gregor N,
    3. Liszewski B, et al
    . It only takes a minute: the development and implementation of a patient experience survey in radiation therapy. J Med Imaging Radiat Sci. 2019;50(1):5–11. doi:10.1016/j.jmir.2018.07.006. pmid:30777248
    OpenUrlCrossRefPubMed
  70. 70.↵
    1. Reeve BB,
    2. Thissen DM,
    3. Bann CM, et al
    . Psychometric evaluation and design of patient-centered communication measures for cancer care settings. Patient Educ Counse. 2017;100(7):1322–1328. doi:10.1016/j.pec.2017.02.011. pmid:28214167
    OpenUrlCrossRefPubMed
  71. 71.↵
    1. Ananth P,
    2. Mun S,
    3. Reffat N, et al
    . Refining patient-centered measures of end-of-life care quality for children with cancer. JCO Oncol Pract. 2022;18(3):e372–e382. doi:10.1200/OP.21.00447. pmid:34613797
    OpenUrlCrossRefPubMed
  72. 72.↵
    1. Cramm J,
    2. Nieboer A
    . Validation of an instrument for the assessment of patient-centred care among patients with multimorbidity in the primary care setting: the 36-item patient-centred primary care instrument. BMC Fam Pract. 2018;19(1):143. doi:10.1186/s12875-018-0832-4. pmid:30153809
    OpenUrlCrossRefPubMed
  73. 73.↵
    1. Dagger TS,
    2. Sweeney JC,
    3. Johnson LW
    . A hierarchical model of health service quality: scale development and investigation of an integrated model. J Serv Res. 2007;10(2):123–142. doi:10.1177/1094670507309594
    OpenUrlCrossRef
  74. 74.↵
    1. Shuv-Ami A,
    2. Shalom T
    . A new service quality scale for hospital emergency rooms. Int J Organ Anal. 2020;28(6):1133–1147. doi:10.1108/IJOA-11-2019-1930
    OpenUrlCrossRef
  75. 75.↵
    1. Pérez Rave JI,
    2. Sánchez Figueroa Génesis Angélica,
    3. González Echavarría Favián
    . A scale for measuring healthcare service quality incorporating patient-centred care and using a psychometric analytics framework. J Health Organ Manag. 2022;36(6):816–838. doi:10.1108/JHOM-10-2021-0387. pmid:35657287
    OpenUrlCrossRefPubMed
  76. 76.↵
    1. Rudawska I
    . Continuity of care as a customer service quality indicator in health sector. Eur Res Stud J. 2021;24(2):266–275. doi:10.35808/ersj/2232
    OpenUrlCrossRef
  77. 77.
    1. Joyce AS,
    2. Adair CE,
    3. Wild TC, et al
    . Continuity of care: validation of a self-report measure to assess client perceptions of mental health service delivery. Community Ment Health J. 2010;46(2):192–208. doi:10.1007/s10597-009-9215-6. pmid:19551503
    OpenUrlCrossRefPubMed
  78. 78.
    1. Boscart VM,
    2. Pringle D,
    3. Peter E,
    4. Wynn F,
    5. McGilton KS
    . Development and psychometric testing of the Humanistic Nurse-Patient Scale. Can J Aging. 2016;35(1):1–13. doi:10.1017/S0714980815000604. pmid:126880206
    OpenUrlCrossRefPubMed
  79. 79.↵
    1. Gerkensmeyer JE,
    2. Austin JK
    . Development and testing of a scale measuring parent satisfaction with staff interactions. J Behav Health Serv Res. 2005;32(1):61–73. doi:10.1007/BF02287328. pmid:15632798
    OpenUrlCrossRefPubMed
  80. 80.↵
    1. Joarder T,
    2. Mahmud I,
    3. Sarker M,
    4. George A,
    5. Krishna Dipankar Rao
    . Development and validation of a structured observation scale to measure responsiveness of physicians in rural Bangladesh. BMC Health Ser Res. 2017;17(1):753. doi:10.1186/s12913-017-2722-1. pmid:29157242
    OpenUrlCrossRefPubMed
  81. 81.↵
    1. Akter S,
    2. D’Ambra J,
    3. Ray P
    . Development and validation of an instrument to measure user perceived service quality of mHealth. Inf Manag 2013;50(4):181–195. doi:10.1016/j.im.2013.03.001
    OpenUrlCrossRef
  82. 82.↵
    1. Chahal H,
    2. Kumari N
    . Development of multidimensional scale for healthcare service quality (HCSQ) in Indian context. J Indian Bus Res. 2010;2(4):230–255. doi:10.1108/17554191011084157
    OpenUrlCrossRef
  83. 83.↵
    1. Berghofer G,
    2. Castille DM,
    3. Link B
    . Evaluation of Client Services (ECS): a measure of treatment satisfaction for people with chronic mental illnesses. Community Ment Health J. 2011;47(4):399–407. doi:10.1007/s10597-010-9331-3. pmid:20582570
    OpenUrlCrossRefPubMed
  84. 84.↵
    1. Lee D
    . HEALTHQUAL: a multi-item scale for assessing healthcare service quality. Serv Bus. 2017;11(3):491–516. doi:10.1007/s11628-016-0317-2
    OpenUrlCrossRef
  85. 85.↵
    1. Ghosh Tathagata,
    2. Mandal Santanu
    . Medical tourism experience: conceptualization, scale development, and validation. J Travel Res. 2019;58(8):1288–1301. doi:10.1177/0047287518813469
    OpenUrlCrossRef
  86. 86.↵
    1. Sung S,
    2. Park HA
    . Perceived cultural differences in healthcare for foreign patients visiting South Korea: tool development and measurement. BMC Health Serv Res. 2019;19(1):197. doi:10.1186/s12913-019-3965-9. pmid:30922381
    OpenUrlCrossRefPubMed
  87. 87.↵
    1. Hadwich K,
    2. Georgi D,
    3. Tuzovic S,
    4. Büttner J,
    5. Bruhn M
    . Perceived quality of e-health services: a conceptual scale development of e-health service quality based on the C-OAR-SE approach. Int J Pharm Healthcare Market. 2010;4(2):112–136. doi:10.1108/17506121011059740
    OpenUrlCrossRef
  88. 88.↵
    1. Fishman KN,
    2. Levitt AJ,
    3. Markoulakis R,
    4. Weingust S
    . Satisfaction with mental health navigation services: piloting an evaluation with a new scale. Community Ment Health J. 2018;54(5):521–532. doi:10.1007/s10597-017-0201-0. pmid:29147951
    OpenUrlCrossRefPubMed
  89. 89.↵
    1. Capra S,
    2. Wright O,
    3. Sardie M,
    4. Bauer J,
    5. Askew D
    . The acute hospital foodservice patient satisfaction questionnaire: the development of a valid and reliable tool to measure patient satisfaction with acute care hospital foodservices. Foodservice Res Int. 2005;16(1):1–14. doi:10.1111/j.1745-4506.2005.00006.x
    OpenUrlCrossRef
  90. 90.
    1. Caroline Hollins Martin,
    2. Fleming V
    . The birth satisfaction scale. Int J Health Care Qual Assur. 2011;24(2):124–135. doi:10.1108/09526861111105086.. pmid:21456488
    OpenUrlCrossRefPubMed
  91. 91.↵
    1. Karthikeyan M,
    2. Dahlmann-Noor AH,
    3. Gupta N,
    4. Vivian AJ
    . The cataract service satisfaction tool: development and validation of a new tool to assess patient satisfaction with cataract services. Clinical Governance. 2007;12(4):249–259. doi:10.1108/14777270710828928
    OpenUrlCrossRef
  92. 92.↵
    1. Slade M,
    2. Jordan H,
    3. Clarke E, et al
    . The development and evaluation of a five-language multi-perspective standardised measure: clinical decision-making involvement and satisfaction (CDIS). BMC Health Serv Res. 2014;14:323. doi:10.1186/1472-6963-14-323. pmid:25066212
    OpenUrlCrossRefPubMed
  93. 93.↵
    1. Sower V,
    2. Duffy J,
    3. Kilbourne W,
    4. Kohers G,
    5. Jones P
    . The dimensions of service quality for hospitals: development and use of the KQCAH scale. Health Care Manage Rev. 2001;26(2):47–59. doi:10.1097/00004010-200104000-00005. pmid:11293010
    OpenUrlCrossRefPubMed
  94. 94.↵
    1. Stanworth JO,
    2. Shuwei Hsu R,
    3. Warden CA
    . Validation of a measure of Chinese outpatients’ satisfaction in the Taiwan setting. Inquiry. 2017;54:46958016688979. doi:10.1177/0046958016688979. pmid:28140760
    OpenUrlCrossRefPubMed
  95. 95.↵
    1. Joarder T,
    2. Aminul Islam M,
    3. Shariful Islam Md,
    4. Mostari S,
    5. Tanvir Hasan Md
    . Validation of Responsiveness of Physicians Scale (ROP-Scale) for hospitalised COVID-19 patients in Bangladesh. BMC Health Serv Rese. 2022;22(1):1040. doi:10.1186/s12913-022-08413-4. pmid:35971120
    OpenUrlCrossRefPubMed
  96. 96.↵
    1. Gullo S,
    2. Galavotti C,
    3. Altman L
    . A review of CARE’s Community Score Card experience and evidence. Health Policy Plan. 2016;31(10):1467–1478. doi:10.1093/heapol/czw064. pmid:27190223
    OpenUrlCrossRefPubMed
  97. 97.↵
    CARE. Community Score Card. [No date] https://www.care.org/our-work/health/strengthening-healthcare/community-score-card-csc/
  98. 98.↵
    1. Cassady CE,
    2. Starfield B,
    3. Hurtado MP,
    4. Berk RA,
    5. Nanda JP,
    6. Friedenberg LA
    . Measuring consumer experiences with primary care. Pediatrics. 2000;105(4 Pt 2):998–1003. doi:10.1542/peds.105.S3.998. pmid:10742362
    OpenUrlCrossRefPubMed
  99. 99.↵
    1. Shi L,
    2. Starfield B,
    3. Xu J
    . Validating the adult primary care assessment tool. J Family Pract. 2001;50(2):161–161. https://publichealth.jhu.edu/sites/default/files/2023-04/shi-2001.pdf
    OpenUrlPubMed
  100. 100.↵
    1. Bresick G,
    2. von Pressentin KB,
    3. Mash R
    . Evaluating the performance of South African primary care: a cross-sectional descriptive survey. South Afr Fam Pract. 2019;61(3):109–116. doi:10.1080/20786190.2019.1596666
    OpenUrlCrossRef
  101. 101.↵
    1. Dubow EF,
    2. Huesmann LR,
    3. Boxer P, et al
    . Exposure to political conflict and violence and post-traumatic stress in Middle East youth: protective factors. J Clin Child Adolesc Psychol. 2012;41(4):402–416. doi:10.1080/15374416.2012.684274. pmid:22594697
    OpenUrlCrossRefPubMed
  102. 102.↵
    World Health Organization (WHO). Monitoring the Building Blocks of Health Systems: A Handbook of Indicators and Their Measurement Strategies. Geneva: WHO; 2010. https://iris.who.int/bitstream/handle/10665/258734/9789241564052-eng.pdf
  103. 103.↵
    World Health Organization (WHO); United Nations Children’s Fund (UNICEF). Web Annex. Technical Specifications. In: Primary Health Care Measurement Framework and Indicators: Monitoring Health Systems through a Primary Health Care Lens. Geneva: WHO and UNICEF; 2022. https://apps.who.int/iris/bitstream/handle/10665/352201/9789240044234-eng.pdf
  104. 104.↵
    1. Afulani PA,
    2. Nakphong MK,
    3. Sudhinaraset M
    . Person-centred sexual and reproductive health: a call for standardized measurement. Health Expect. 2023;26(4):1384–1390. doi:10.1111/hex.13781. pmid:37232021
    OpenUrlCrossRefPubMed
  105. 105.
    1. Lewis TP,
    2. Kapoor NR,
    3. Aryal A, et al
    . Measuring people’s views on health system performance: design and development of the People’s Voice Survey. PLoS Med. 2023;20(10):e1004294. doi:10.1371/journal.pmed.1004294. pmid:37801441
    OpenUrlCrossRefPubMed
  106. 106.↵
    1. Van Brakel WH,
    2. Cataldo J,
    3. Grover S, et al
    . Out of the silos: identifying cross-cutting features of health-related stigma to advance measurement and intervention. BMC Med. 2019;17(1):13. doi:10.1186/s12916-018-1245-x. pmid:37801441
    OpenUrlCrossRefPubMed
  107. 107.↵
    1. Hoxha K,
    2. Hung YW,
    3. Irwin BR,
    4. Grepin KA
    . Understanding the challenges associated with the use of data from routine health information systems in low-and middle-income countries: a systematic review. Health Inf Manag. 2022;51(3):135–148. doi:10.1177/1833358320928729. pmid:32602368
    OpenUrlCrossRefPubMed
  108. 108.↵
    1. Bode M,
    2. Goodrich T,
    3. Kimeu M,
    4. Okebukola P,
    5. Wilson M
    . Unlocking digital healthcare in lower- and middle-income countries. McKinsey & Company. November 10, 2021. https://www.mckinsey.com/industries/healthcare/our-insights/unlocking-digital-healthcare-in-lower-and-middle-income-countries
PreviousNext
Back to top

In this issue

Global Health: Science and Practice: 13 (2)
Global Health: Science and Practice
Vol. 13, No. 2
December 31, 2025
  • Table of Contents
  • About the Cover
  • Index by Author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Global Health: Science and Practice.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Assessing the Generalizability of Client Experience Measurement Tools in Low- and Middle-Income Countries: A Narrative Review
(Your Name) has forwarded a page to you from Global Health: Science and Practice
(Your Name) thought you would like to see this page from the Global Health: Science and Practice web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Assessing the Generalizability of Client Experience Measurement Tools in Low- and Middle-Income Countries: A Narrative Review
Andrew Corley, Susannah Gibbs, Nirali Chakraborty, Lara Fields, Giannina Chávez Ackermann, Jasmine Coulson, Yixin Zhang, Paul Bouanchaud
Global Health: Science and Practice Dec 2025, 13 (2) e2300364; DOI: 10.9745/GHSP-D-23-00364

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Assessing the Generalizability of Client Experience Measurement Tools in Low- and Middle-Income Countries: A Narrative Review
Andrew Corley, Susannah Gibbs, Nirali Chakraborty, Lara Fields, Giannina Chávez Ackermann, Jasmine Coulson, Yixin Zhang, Paul Bouanchaud
Global Health: Science and Practice Dec 2025, 13 (2) e2300364; DOI: 10.9745/GHSP-D-23-00364
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Statistics from Altmetric.com

Jump to section

  • Article
    • ABSTRACT
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Acknowledgments
    • Funding
    • Author contributions
    • Competing interests
    • Notes
    • REFERENCES
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Narrative Review of Human-Centered Design in Public Health Interventions in Low- and Middle-Income Countries: Recommendations for Practice, Research, and Reporting
  • Simulation-Based Education of Health Workers in Low- and Middle-Income Countries: A Systematic Review
Show more REVIEW

Similar Articles

Johns Hopkins Center for Communication Programs

Follow Us On

  • LinkedIn
  • Facebook
  • RSS

Articles

  • Current Issue
  • Advance Access Articles
  • Past Issues
  • Topic Collections
  • Most Read Articles
  • Supplements

More Information

  • Submit a Paper
  • Instructions for Authors
  • Instructions for Reviewers

About

  • About GHSP
  • Advisory Board
  • FAQs
  • Privacy Policy
  • Contact Us

© 2026 Creative Commons Attribution 4.0 International License. ISSN: 2169-575X

Powered by HighWire