Person-Centered Care (PCC) pilot cohort exploring longitudinal potential of USSD mechanism and optimal incentive level for HIV care experience survey response in Lusaka, Zambia 2018-2019
Data files
Oct 04, 2024 version files 109.09 KB
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pcc_ussd_dryad-17jun2024.csv
103.90 KB
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README.md
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Abstract
Background
This pilot study evaluates the effectiveness of mobile talk-time incentives in promoting sustained participation in a longitudinal mHealth data collection program among people living with HIV in Lusaka, Zambia. With mobile device usage rapidly increasing in sub-Saharan Africa, mHealth tools, like mobile phone surveys, present an opportunity to capture vital health feedback and improve patient monitoring however, evidence on optimal incentive strategies to ensure long-term engagement remains limited. Understanding response patterns across multiple survey rounds, provides valuable insights into incentive strategies for long-term participation in mHealth programs within the context of expanding mobile access but prepaid billing and multi-SIM usage practices in Zambia and the broader sub-Saharan Africa (SSA) region.
Objective
Assess the response rate success across multiple invitations to participate in a care experience survey using a mobile phone short code and USSD model among individuals in an HIV care setting in the Lusaka Province of Zambia.
Methods
We enrolled study participants among individuals exiting two study clinics, one in a peri-urban setting and one in an urban setting. Two rounds of survey invitations were sent to those enrolled in the study. The first invitation was distributed between 1 November 2018 and 25 June 2019 with the invitation to the second survey round following three months after the first (1 February 2019 to 23 September 2019). Three incentive levels were randomly assigned by participant and survey round 1) no incentive, 2) two Zambian Kwacha (ZMW) (~0.16 USD), and 3) five ZMW (~0.42 USD). We assessed the association between incentive and response to the survey using a mixed effects Poisson regression model allowing random effects at the individual and facility level. Probability plots for survey completion were generated based on language, incentive level, and survey round. We projected the cost per additional response for different incentive levels.
Results
A total of 1,006 participants were enrolled of which 72.1% occurred in the urban HIV care facility and 62.2% requested survey be sent in English. We sent a total of 1,992 survey invitations for both rounds. Overall, survey completion across both surveys was 32.1%, with significantly different response rates between the first (40.5%, 95% confidence interval [CI]: 37.4, 43.6%) and second (23.7%, 95% CI: 21.1, 26.4%) invitations. Implementing a 5 ZMW incentive significantly increased adjusted prevalence ratio (aPR) for survey completion compared to those that received no incentive (aPR: 1.35; 95% CI: (1.11, 1.63). The cost per additional response highest at 5 ZMW (72.8 ZMW).
Conclusion
We observed a sharp decline of almost fifty percent in survey completion success from initial invitation to follow-up survey administered three months later. This substantial decrease suggests that longitudinal data collection potential for a care experience survey may be limited without additional sensitization and/or survey reminders. Implementing a moderate incentive increased response rates to our healthcare experience survey. Tailoring survey strategies to accommodate language preferences and providing moderate incentives can optimize response rates in Zambia.
(pcc_pilot_ussd_incentive-17jun2024)
https://doi.org/10.5061/dryad.2z34tmpv8
The Person-centered care (PCC) or, alternatively called the Person-Centered Public Health (PCPH), study was funded by the Bill and Melinda Gates Foundation (OPP1166485) and the NIAID K24 AI134413. The data here represent the pilot stage of the parent stepped wedge trial (Pan African Clinical Trial Registry number: PACTR202101847907585) designed to improve HIV the HIV care experience through healthcare worker mentorship and support as well as establishing a care feedback mechanism/measure. The unstructured supplementary service data (USSD) was developed as one such mechanism to capture HIV care experience.
The primary use for this data initially was to identify the best incentive level to optimize response rate among enrolled participants. Because we were able to send multiple invitations (via short message service [SMS]) to participate through the USSD portal we evaluated the potential for a mobile health (mHealth) platform like this one to collect data longitudinally.
Main effects of the PCC/PCPH study are in review at The Lancet HIV and analyses using the data presented here have been accepted to the Journal of Medical Internal Research (JMIR - here).
Description of the data and file structure
Data required to replicate the results published in the JMIR paper are presented here as a comma separated value (csv) file. The codebook has been prepared to clarify variable meaning/definitions applied.
Missing data/blank cells represent missing data. Study participant identifiers are used to maintain anonymity of the participants.
Codebook
Variables (n=9):
1) round
Description: Round of survey
Type: Numeric (byte)
Range: [1,2] Units: 1
Unique values: 2 Missing .: 0/2,012
Tabulation:
Freq. Value
1,006 1
1,006 2
2) study_id
Description: Study identifier
Type: String (str10)
Unique values: 1,006 Missing “”: 0/2,012
Examples: “01-11-8248”
“02-11-2436”
“02-11-4926”
“02-11-7692”
3) language
Description: Survey language chosen upon study enrollment and phone number confirmation
Type: Numeric (byte)
Label: language
Range: [1,4] Units: 1
Unique values: 4 Missing .: 0/2,012
Tabulation:
Freq. Numeric Label
1,256 1 English
526 2 Nyanja
204 3 Bemba
26 4 Tonga
4) confirmed
Description: Participant confirmed telephone number
Type: String (str4)
Unique values: 1 Missing “”: 0/2,012
Tabulation:
Freq. Value
2,012 “Yes”
Warning: Variable has leading blanks.
5) incentive
Description: Airtime incentive alloted
Type: Numeric (float)
Label: incentive
Range: [1,4] Units: 1
Unique values: 4 Missing .: 0/2,012
Tabulation:
Freq. Numeric Label
693 1 0 ZMW
648 2 2 ZMW
651 3 5 ZMW
20 4 20 ZMW
6) month
Description: Month of survey
Type: Numeric (float)
Range: [1,12] Units: 1
Unique values: 12 Missing .: 0/2,012
Mean: 5.13121
Std. dev.: 3.35422
Percentiles:
10% 25% 50% 75% 90%
2 2 4 7 11
7) year
Description: Year of survey
Type: Numeric (float)
Range: [2018,2019] Units: 1
Unique values: 2 Missing .: 0/2,012
Tabulation:
Freq. Value
342 2018
1,670 2019
8) facility_encoded
Description: Study facility
Type: Numeric (long)
Label: facility_encoded, but label does not exist
Range: [1,2] Units: 1
Unique values: 2 Missing .: 0/2,012
Tabulation:
Freq. Value
558 1
1,454 2
9) status
Description: Survey response status
Type: Numeric (float)
Label: status
Range: [0,2] Units: 1
Unique values: 3 Missing .: 0/2,012
Tabulation:
Freq. Numeric Label
1,144 0 No Response
645 1 Completed
223 2 Pending
Sharing/Access information
n/a
Code/Software
Data were initially reviewed and process using Stata 18 (Stata Corp LLC, College Station, TX, USA).
PCC/PCHCP USSD Dataset Codebook
02 October 2024
Recruitment procedure
Potential survey participants were identified by research assistants at one of two (one in an urban setting, one in a peri-urban setting) pilot study HIV care facilities using convenience sampling following reception and triage procedures including routine data collection (e.g., temperature, weight, and blood pressure). Eligibility for study participation was limited to individuals who were enrolled as a recipient of care at the study facility, were aged 18 years or older, self-reported as literate in one of four survey languages, possessed a mobile phone during enrollment, and voluntarily consented to participate in the study. We confirmed that the mobile phone number reported by the potential participant belonged to the individual through a registration process using the unique PCPH short code, *744# on the potential participant’s phone at enrollment. The registration process confirmed ability to initiate and complete a USSD session, collected the language preference, and recorded the facility where the enrolment took place.
Data collection
Survey participants were presented with 4 questions related to their experience at their most recent HIV care visit. The opening question was the same for all participants, the next 3 questions were drawn, using a systematic algorithm, from a bank of 9 questions. Survey questions were subject to a cognitive interviewing process to increase acceptability, understanding, and appropriateness prior to piloting. At enrollment, participants selected their preferred survey language from English, Bemba spoken by 33.5% of the Zambian population, Nyanja, spoken by 14.8% of the Zambian population, or Tonga, spoken by 11.4% of the Zambian population. Only 2% of the population have English as the first language however, English is the most spoken second language.