Skip to main content

Main menu

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
      • Provider Behavior Change for Improved Health Outcomes
      • The Challenge Initiative Platform
      • Call for Abstracts
      • The Responsive Feedback Approach
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Webinars
    • Local Voices Webinar
    • Connecting Creators and Users of Knowledge
    • Publishing About Programs in GHSP
  • Other Useful Sites
    • GH eLearning
    • GHJournal Search

User menu

  • My Alerts

Search

  • Advanced search
Global Health: Science and Practice
  • Other Useful Sites
    • GH eLearning
    • GHJournal Search
  • My Alerts

Global Health: Science and Practice

Dedicated to what works in global health programs

Advanced Search

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Submit Manuscript
    • Publish a Supplement
    • Promote Your Article
    • Resources for Writing Journal Articles
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Webinars
    • Local Voices Webinar
    • Connecting Creators and Users of Knowledge
    • Publishing About Programs in GHSP
  • Alerts
  • Visit GHSP on Facebook
  • Follow GHSP on Twitter
  • RSS
  • Find GHSP on LinkedIn
ORIGINAL ARTICLE
Open Access

A Quality Improvement Intervention to Inform Scale-Up of Integrated HIV-TB Services: Lessons Learned From KwaZulu-Natal, South Africa

Santhanalakshmi Gengiah, Kogieleum Naidoo, Regina Mlobeli, Maureen F. Tshabalala, Andrew J. Nunn, Nesri Padayatchi, Nonhlanhla Yende-Zuma, Myra Taylor, Pierre M. Barker and Marian Loveday
Global Health: Science and Practice September 2021, 9(3):444-458; https://doi.org/10.9745/GHSP-D-21-00157
Santhanalakshmi Gengiah
aCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Gengiahs@gmail.com
Kogieleum Naidoo
aCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
bMedical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Regina Mlobeli
aCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maureen F. Tshabalala
cInstitute for Healthcare Improvement, Cambridge, MA, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew J. Nunn
dMedical Research Council, Clinical Trials Unit at University College London, London, United Kingdom.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nesri Padayatchi
aCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
bMedical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nonhlanhla Yende-Zuma
aCentre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
bMedical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Myra Taylor
eSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre M. Barker
cInstitute for Healthcare Improvement, Cambridge, MA, USA.
fDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marian Loveday
bMedical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
gHIV Prevention Research Unit, South African Medical Research Council, South Africa.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PreviousNext
  • Article
  • Figures & Tables
  • Supplements
  • Info & Metrics
  • Comments
  • PDF
Loading

Figures & Tables

Figures

  • Tables
  • Additional Files
  • FIGURE 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1

    Change Theory Based on Primary and Secondary Drivers of Poor Performance in Integrated HIV-TB Services and Change Concepts Used in a Quality Improvement Intervention for HIV/TB Service Integration in KwaZulu-Natal, South Africa

    Abbreviations: NGO, nongovernmental organization; QI, quality improvement; SA DOH, South African Department of Health.

  • FIGURE 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2

    Key HIV-TB Services Care Algorithm Training Tool Used in a Quality Improvement Intervention for HIV/TB Service Integration in KwaZulu-Natal, South Africa

    Abbreviations: ART, antiretroviral therapy; IPT, isoniazid preventive therapy; Xpert/MTB/Rif, a rapid, molecular, cartridge-based test used for TB diagnostics that provides an immediate rifampicin resistance result.

    a For HIV-TB coinfected patients: If CD4<50 cells/µl, initiate ART within 2 weeks of starting TB treatment AND if CD4>50 cells/µl, initiate ART within 2–8 weeks of starting TB treatment.

  • FIGURE 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3

    xmr Charts of Monthly Performance in HIV-TB Process Indicators in a Quality Improvement Intervention for HIV/TB Service Integration in KwaZulu-Natal, South Africa (a) Percentage of Eligible New ART Patients Initiated on IPT; (b) Percentage of ART Patients With a Viral Load Test Conducted; (c) Percentage of PHC Clinic Attendees Screened for TB; (d) Percentage of HIV Target Achieved; (e) Percentage of HIV-TB Coinfected Patients Initiated on ART

    Abbreviations: ART, antiretroviral therapy; IPT, isoniazid preventive therapy; PHC, primary health care.

Tables

  • Figures
  • Additional Files
    • View popup
    TABLE 1.

    Definitions of HIV-TB Process Indicators Used in the Quality Improvement Intervention to Integrate HIV-TB Services in KwaZulu-Natal, South Africa

    HIV-TB Process IndicatorAbbreviationDefinition
    HTS for PHC clinic attendeesHTSPercentage of patients that accessed HIV tests, expressed as a percentage of the clinics’ HIV testing targeta
    Numerator: Number of patients tested for HIV
    Denominator: Clinic assigned target for HTS
    TB screening among PHC clinic attendeesTB screeningPercentage of clinic attendees screened for TB signs or symptomsb
    Numerator: Number of clinic attendees screened for TB signs and symptoms (adults and children)
    Denominator: Clinic headcount (Number of people accessing any health services at a facility during a specified period)
    Initiating IPT among eligible new ART patientsIPT initiationPercentage of new ART patients initiated onto IPT
    Numerator: Number of new ART patients initiated on IPT
    Denominator: Number of new ART patients with no signs or symptoms of TB
    ART initiation among TB/HIV coinfected patientsART initiationPercentage of TB/HIV coinfected patients initiated on ART
    Numerator: Number of TB/HIV coinfected patients initiated on ART
    Denominator: Number of confirmed TB patients tested positive for HIV
    VL testing at month 12 after ART initiationcVL testingPercentage of eligible ART patients who had a VL test at month 12 after ART initiation
    Numerator: Number of ART patients who received a VL test at month 12 after ART initiation
    Denominator: Number of ART patients eligible for a VL test at month 12 after ART initiation
    • Abbreviations: ART, antiretroviral therapy; HTS, HIV testing services; IPT, isoniazid preventive therapy; PHC, primary health care; VL, viral load.

    • ↵a All clinics receive a monthly target for HIV Testing Services from their respective District Offices.

    • ↵b TB signs and symptom screening refers to the verbal screening checklist which documents the common signs and symptoms of TB (current cough of any duration, fever for >2 weeks, drenching night sweats, Unexplained weight loss of >1.5kg in a month).

    • ↵c According to the South African National Department of Health National Consolidated guidelines, a viral load test is required at month 6 and month 12 after ART initiation and annually thereafter. This study focused on the month 12 viral load only.

    • View popup
    TABLE 2.

    Summary of Changes in HIV-TB Process Indicators Used in the Quality Improvement Intervention to Integrate HIV-TB Services in KwaZulu-Natal, South Africa

    HIV-TB Process OutcomesProportions (95% CI)AbsoluteDifferenceP ValueClinicsa(N=20)PDSA CyclesMean, (Range)
    BaselinePost-QI Intervention
    HTS84.8 (75.5,95.3)94.5 (89.3,99.9)9.7.110123 (1–7)
    TB screening76.2 (65.4, 88.9)85.2 (78.7,92.2)9.0.040b174 (1–9)
    IPT initiation in new ART patients15.9 (4.8,52.5)76.4 (66.3,88.1)60.5.019b204 (1–11)
    ART initiation in HIV-TB patients95.8 (93.3,98.3)94.1 (89.7,98.6)−1.7.48131 (1–3)
    Viral load monitoring61.4 (56.4,66.8)74.0 (65.5,83.6)12.6.045b204 (1–7)
    • Abbreviations: ART, antiretroviral therapy; CI, confidence interval; HTS, HIV testing services; IPT, isoniazid preventive therapy; PDSA, plan-do-study-act; QI, quality improvement.

    • ↵a Number of clinics engaged in quality improvement.

    • ↵b P value significant at <.05 using paired t-tests.

    • View popup
    TABLE 3.

    District and Clinic Staff Trained in Quality Improvement Methods for a Quality Improvement Intervention for HIV/TB Service Integration in KwaZulu-Natal, South Africa

    Staff CategoryPool of Health Care Workers AvailableN=259Actual Number Trained in QI
    Learning Session 1N = 63Learning Session 2N=61Learning Session 3N = 45
    n (%)n (%)n (%)
    District Management Team
    TB program manager32 (3)1 (2)2 (4)
    HIV/AIDS/Sexually transmitted infection and TB manager22 (3)2 (3)2 (4)
    Training coordinator22 (3)2 (3)0
    Nurse supervisors85 (8)4 (6)3 (7)
    Subtotal15
    Clinic Staff Categories
    Operations managers1911 (17)9 (15)9 (20)
    Professional nurses856 (10)11(18)8 (18)
    Enrolled nurses/ enrolled nurse assistants618 (11)6 (10)1(2)
    Data capturers3617 (27)18 (30)19 (42)
    Lay counselors4310 (16)8 (13)1 (2)
    Subtotal244
    • View popup
    TABLE 4

    Health Systems Weaknesses Identified and Associated Change Ideas for a Quality Improvement Intervention for HIV/TB Service Integration in KwaZulu-Natal, South Africa

    HIV-TB ProcessHealth Systems’ Weaknesses IdentifiedChange Concepts
    HTSRelying only on patient requests or referrals for HIV testing.Introduced strategies to enhance provider-initiated testing:
    • Offered group pretest counseling in all patients’ waiting areas

    • Implemented a daily roster system of staff to conduct pre-test counseling

    • Nurse in charge or designee to check accountability log daily

    Missed opportunities to offer HTS to all patients
    • Acute patients were overlooked for HTS services (e.g., wound care patients)

    Redesigned clinic patient flow
    • Ensure that acute patients are directed to lay counselors after vitals assessmentsa are conducted

    • If above not possible, then staff caring for acute patients were (i) trained in HIV testing and counseling and (ii) provided with the appropriate HTS stationery

    HTS data inaccuracies caused by:
    • Not completing HTS registers in real-time

    • Misplacing HTS registers

    Daily data quality control checks
    • Daily quality control of HTS registers and frequent audits of patient files and electronic data to ensure HIV status is known for all patients

    Overdependence on lay counselors
    • HTS viewed as the work of lay counselors

    • Lack of counseling skills among nurses to relieve/stand-in for lay counselors

    Increasing the accountability and responsibility for the HTS program
    • On-site HTS refresher training was held which addressed: pre- and post-test counseling messages, conducting HIV rapid tests, and data recording

    • Awareness of clinic target set by the district health office was disseminated

    TB screening among PHC clinic attendeesMissed opportunities to offer TB screening to all clinic attendeesCentralized TB screening
    • Made TB screening mandatory at an identified strategic point visited by all patients, such as, vitals assessmenta station

    • Visual prompts and reminders to conduct TB screening included large and colorful TB posters, printed and easily accessible signs, and symptoms checklists

    • Made TB screening mandatory for acute patients

    Inaccurate TB screening dataData quality control checks
    • Daily data quality control checks conducted by nurse in charge or designee to check:

      • Completeness and accuracy of daily TB screening register

      • Number of symptomatic patients and number of sputum samples sent for Xpert/ MTB Rifb testing

    • Quality control of clinic headcountc data:

      • Exclude patient representatives or family members

      • Subtract TB confirmed patients from the clinic headcount

      • Mass TB screening campaigns conducted in communities must be distinguishable from screening conducted in the clinic

    IPT initiation among new ART patientsAmbiguity in IPT initiation guidelines
    • Nurses lack clarity on timing of IPT initiation

    • Individual nurses use own discretion to start IPT

    Clarify IPT initiation timing and arrive at mutually agreed upon timing for initiation
    • Each clinic team arrived at a common time to start IPT (e.g., 7,14, or 30 days after starting ART)

    • Agreed upon timing was documented and standardized for entire clinic

    Confusion about roles and responsibilities of clinic staffEnhancing accountability and responsibility for IPT program
    • Roles and responsibilities were assigned to all staff categories and documented

    No system for identifying patients eligible for IPTStrategies to identify patients returning at the agreed upon time for IPT
    • The “box system” -eligible patients’ files placed in a decorated box for easy identification, OR

    • Tagged files of eligible patients with stickers or red ink OR

    • The “diary system” reminder note in clinic diary to initiate IPT at next visit and note attached to patient file

    Poor recording of IPT initiation date in clinic chart notesRefresher training on clinic stationery to document IPT
    • Nurses directed to document start date in designated fields and data capturers shown where to find the start date

    Nurses lack confidence to rule out TBHost a training for nurses, lay counselors, and data capturers highlighting the importance and potential benefit of IPT for HIV-infected patients
    • Link this training with the TB screening training (above) to boost confidence to rule out TB

    ART initiation among HIV-TB coinfected patientsPatient chart notes for TB and ART kept separately
    • TB and ART files not integrated

    • No unique identifier for TB and ART file

    Combining ART and TB files
    • For HIV-TB coinfected patients, ART and TB chart notes were physically combined

    • The district health office agreed upon a common unique identifier to be used

    • The TB module on the electronic ART database was activated to accommodate TB and ART data

    Poor coordination between NIMART and TB nurses regarding ART and TB treatment initiationRefresher training for nurses
    • Clarified patient flow for ART initiation visits in TB/HIV coinfected patients

    • Improved chart notes for ART and TB treatment start dates

    VL monitoring at month 12 after ART initiationNo system to identify patients eligible for month 12 VL testsGenerate report from electronic system of patients due for VL
    • Address the data capturing backlog of VL results and ART initiation

    • Draw on the assistance of local nongovernmental organizations and support partners for assistance with data capture

    • Generate VL reports from the data system to determine which patients have not had or are due for VL test (filter out deceased and transferred-out patients)

    • Tag/mark the files of patients due for VL for easy identification

    • Trace patients who were missed for a VL test

    • Abbreviations: ART, antiretroviral therapy; HTS, HIV testing services; IPT, isoniazid preventive therapy; NIMART, Nurse Initiated Management of Antiretroviral Therapy; PHC, primary health care; VL, viral load.

    • ↵a Vitals assessments refers to general measures of well-being which typically include weight, body temperature, blood pressure measurements.

    • ↵b Xpert/MTB RIF a rapid, molecular, cartridge-based test used for TB diagnostics that provides an immediate rifampicin resistance result.

    • ↵c Clinic headcount refers to the total number of patients who accessed the clinic for any type of clinical service.

Additional Files

  • Figures
  • Tables
  • Supplemental material

    • Supplement -

      Supplement

PreviousNext
Back to top

In this issue

Global Health: Science and Practice: 9 (3)
Global Health: Science and Practice
Vol. 9, No. 3
September 30, 2021
  • Table of Contents
  • About the Cover
  • Index by Author
  • Complete Issue (PDF)
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.
A Quality Improvement Intervention to Inform Scale-Up of Integrated HIV-TB Services: Lessons Learned From KwaZulu-Natal, South Africa
(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
A Quality Improvement Intervention to Inform Scale-Up of Integrated HIV-TB Services: Lessons Learned From KwaZulu-Natal, South Africa
Santhanalakshmi Gengiah, Kogieleum Naidoo, Regina Mlobeli, Maureen F. Tshabalala, Andrew J. Nunn, Nesri Padayatchi, Nonhlanhla Yende-Zuma, Myra Taylor, Pierre M. Barker, Marian Loveday
Global Health: Science and Practice Sep 2021, 9 (3) 444-458; DOI: 10.9745/GHSP-D-21-00157

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
A Quality Improvement Intervention to Inform Scale-Up of Integrated HIV-TB Services: Lessons Learned From KwaZulu-Natal, South Africa
Santhanalakshmi Gengiah, Kogieleum Naidoo, Regina Mlobeli, Maureen F. Tshabalala, Andrew J. Nunn, Nesri Padayatchi, Nonhlanhla Yende-Zuma, Myra Taylor, Pierre M. Barker, Marian Loveday
Global Health: Science and Practice Sep 2021, 9 (3) 444-458; DOI: 10.9745/GHSP-D-21-00157
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Statistics from Altmetric.com

Jump to section

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

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Leveraging Responsive Feedback to Redesign a Demand Generation Strategy: Experience From the IntegratE Project in Lagos State, Nigeria
  • Impact of the COVID-19 Pandemic on Medical Product Procurement, Prices, and Supply Chain in Zimbabwe: Lessons for Supply Chain Resiliency
  • Assessing Use, Usefulness, and Application of the High Impact Practices in Family Planning Briefs and Strategic Planning Guides
Show more ORIGINAL ARTICLE

Similar Articles

Subjects

  • Cross-Cutting Topics
    • Health Systems
    • Service Integration
  • Health Topics
    • HIV/AIDS
    • Infectious Diseases
    • Tuberculosis
US AIDJohns Hopkins Center for Communication ProgramsUniversity of Alberta

Follow Us On

  • Twitter
  • Facebook
  • LinkedIn
  • 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
  • GH Journals Database

About

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

© 2023 Creative Commons Attribution 4.0 International License. ISSN: 2169-575X

Powered by HighWire