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ORIGINAL ARTICLE
Open Access

The Net Promoter Score (NPS) for Insight Into Client Experiences in Sexual and Reproductive Health Clinics

Rebecca Koladycz, Gwendolyn Fernandez, Kate Gray and Heidi Marriott
Global Health: Science and Practice October 2018, 6(3):413-424; https://doi.org/10.9745/GHSP-D-18-00068
Rebecca Koladycz
aIndependent consultant, Seattle, WA, USA.
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  • For correspondence: rkoladycz{at}hotmail.com
Gwendolyn Fernandez
bInternational Planned Parenthood Federation/Western Hemisphere Region, New York, NY, USA. Now with Keyrus, New York, NY, USA.
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Kate Gray
cInternational Planned Parenthood Federation, London, UK.
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Heidi Marriott
cInternational Planned Parenthood Federation, London, UK.
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  • FIGURE 1
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    FIGURE 1

    Calculating the Net Promoter Score

    Source: How Likely: https://www.howlikely.com/resources/nps-what-exactly-is-it

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    FIGURE 2

    Two Net Promoter Score Implementation Approaches Tested in India

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    FIGURE 3

    Two Types of Net Promoter Score Rating Scales Tested in India

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    In El Salvador, a clinic supervisor and youth peer promoter tend a kiosk where the Net Promoter Score survey is set up for clients to provide feedback. © 2017 Moira Mendoza/International Planned Parenthood Federation/Western Hemisphere Region

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    TABLE 1.

    Overview of Net Promoter Score Iterative Testing

    IndiaKenya and NigeriaEl Salvador
    Sample sizeN=188N=590N=226
    What was testedFeasibility and acceptability of implementation approaches in low-resource clinical settings among clients with low-literacy levelsWhether the methodology could be used to generate meaningful comparative information about the experience of different client groupsFeasibility of a self-administered NPS survey using tablets with an online survey in DHIS 2
    DescriptionA convenience sample of 2 peri-urban clinics was selected based on client population (low literacy), client volume, proximity to reach both clinics in a single day, and willingness to participate.
    Female clients exiting the clinic were asked how likely they are to recommend the service.
    Interviewers alternated between face-to-face interviews and guiding the respondent to a drop box to circle her response in private as she exited the clinic.
    The survey alternated between an 11-point numerical scale and an 11-point emoji-face scale.
    Face-to-face interviews included an open-ended ‘why’ question. Twenty clients were contacted for follow-up via telephone.
    A convenience sample of 9 service delivery sites (6 in Kenya and 3 in Nigeria) was selected based on client volume for family planning services, representation of both static and outreach clinics, and willingness to participate.
    The NPS question on likeliness to recommend services was inserted into an existing client profile survey.
    Clients were surveyed via face-to-face interviews as they exited family planning services.
    A convenience sample of 3 clinics was selected based on proximity to the capital, client volume, and willingness to participate.
    Volunteer youth peer promoters directed clients exiting the clinic to kiosks set up with tablets that were connected to an online survey in DHIS 2.
    Clients chose to complete the survey by themselves on the tablet, with assistance from a youth promoter using the tablet, or by themselves using a paper-based survey.
    Variables included in NPS survey
    • Consent to participate

    • Clinic name

    • Interviewer name

    • Approach:

      • ∘ Interview: 49%

      • ∘ Drop box: 51%

    • Scale:

      • ∘ Emoji faces: 49%

      • ∘ Numerical: 51%

    • Consent to follow-up: 96%

    • Likeliness to recommend services: mean 9.096

    • Why (interviews only)

    • Consent to participate

    • Country:

      • ∘ Nigeria: 44%

      • ∘ Kenya: 56%

    • Service delivery channel:

      • ∘ Static: 48%

      • ∘ Outreach: 52%

    • Service delivery site name

    • Interviewer name

    • Gender: 96% female

    • Age: mean 30.9 years

    • Family planning method received

    • Source of last method used

    • Method category:

      • ∘ Long-acting or permanent method: 35%

      • ∘ Short-acting reversible method: 65%

    • Family planning use profile:

      • ∘ Adopter (first time or lapsed): 27%

      • ∘ Provider continuer: 34%

      • ∘ Provider changer: 39%

    • Reason for changing provider and/or method

    • Likeliness to recommend services: mean 8.45

    • Consent to participate

    • Clinic name

    • Administration method:

      • ∘ Paper-based: 9%

      • ∘ Self-administered on tablet: 42%

      • ∘ Youth promoter-assisted on tablet: 49%

    • Age: mean 34.5 years

    • Gender: 89% female

    • Type of service

    • Likeliness to recommend services: mean 9.39

    • What could be improved

    • Abbreviations: DHIS 2, District Health Information System 2; NPS, Net Promoter Score.

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    TABLE 2.

    Two-Sample t Test Results Comparing Likeliness to Recommend Services of Client Groups

    Client GroupNo.MeanStandard DeviationT-Value CalculatorT Critical ValuesDegrees of FreedomP Value
    India (N=188)
    Implementation Approach
    Interview929.521.093.112.61131.002
    Drop box968.695.75
    Scale Type
    Numerical scale958.944.001.162.60185.25
    Emoji scale939.263.24
    Kenya and Nigeria (N=590)
    Age Cohort
    Adult clients4728.541.564.201.97202<.001
    Youth clients1188.061.18
    Clinic Type
    Outreach clinics3068.471.060.531.96513.60
    Static clinics2848.422.03
    Method Type
    Short-acting method3838.531.422.241.96587.03
    Long-acting method2068.291.70
    Insertion vs. Removal
    IUD/implant insertion2058.291.712.431.97178.02
    IUD/implant removal697.960.75
    El Salvador (N=226)
    Age Cohort
    Adult clients1779.381.270.862.0062.40
    Youth clients489.582.25
    • Abbreviation: IUD, intrauterine device.

    • Notes: Adult clients were ages 25 and older; youth were under age 25.

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Global Health: Science and Practice: 6 (3)
Global Health: Science and Practice
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October 03, 2018
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The Net Promoter Score (NPS) for Insight Into Client Experiences in Sexual and Reproductive Health Clinics
Rebecca Koladycz, Gwendolyn Fernandez, Kate Gray, Heidi Marriott
Global Health: Science and Practice Oct 2018, 6 (3) 413-424; DOI: 10.9745/GHSP-D-18-00068

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The Net Promoter Score (NPS) for Insight Into Client Experiences in Sexual and Reproductive Health Clinics
Rebecca Koladycz, Gwendolyn Fernandez, Kate Gray, Heidi Marriott
Global Health: Science and Practice Oct 2018, 6 (3) 413-424; DOI: 10.9745/GHSP-D-18-00068
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