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DEVELOPING, IMPLEMENTING, AND EVALUATING AN ELECTRONIC PERSONAL HEALTH RECORD FOR PEOPLE ON THE MOVE IN VARIOUS SETTINGS AROUND THE GLOBE (NOVO-HealthEMove Pilot Project), HealthEmove

KENYA, 2024 - 2025
Health and Well-Being (HaW)
Frederick Murunga Wekesah
Last modified May 12, 2025 Page views 539 Documentation in PDF Metadata DDI/XML JSON

Identification

IDNO
DDI-KEN-APHRC-HealthEMove-2024-V10
Title
DEVELOPING, IMPLEMENTING, AND EVALUATING AN ELECTRONIC PERSONAL HEALTH RECORD FOR PEOPLE ON THE MOVE IN VARIOUS SETTINGS AROUND THE GLOBE (NOVO-HealthEMove Pilot Project), HealthEmove
Subtitle
HealthEmove
Country
Name Country code
KENYA KEN
Abstract
Project Summary:
Background and rationale: Migration is a recurrent phenomenon in the history of mankind and it can be defined as “the movement of persons away from their place of usual residence”, irrespective of reasons for migration and means used to migrate (IOM).
Informed by this broad definition of migration, in our study, we use the term “mobile populations” to refer to individuals or groups of persons who, whether voluntarily or forcibly, change their location of residence and/or lack a permanent home address. In this definition, we include movements that occur locally, nationally, and/or across borders, for a short and/or long duration. Groups categorized as “mobile populations” in this study therefore include refugees, asylum seekers, and migrants, but also undocumented migrants, temporary labor migrants, international workers, homeless people, nomads and internally displaced persons.
In relation to healthcare, mobile populations tend to change healthcare providers, which often results in discontinuity and low quality of care. While several factors can contribute to disrupting the continuity of care experienced by different mobile populations, lack of previous medical history is a common barrier affecting the continuity and quality of healthcare experienced by all different groups of mobile populations.
Literature shows that access to medical information can empower people and potentially improve the continuity and quality of care for mobile populations. In recent years there has been a lot of innovation regarding the development of Electronic Personal Health Records (EPHRs). However, EPHRs are often not specifically designed for mobile populations.
Aim: To explore the perceived usefulness (benefits and barriers) of electronic personal health records for improving the continuity of care for mobile populations.
Study design: Qualitative exploratory studies.
Deliverables: WP1: Rapid Systematic Review, WP2: Pilot Studies in the Four Settings (Kenya, Ghana, Netherlands & Denmark), WP3: Full Proposal.

Study duration: October 01, 2024 - April 30, 2025
Funder: Novo Nordisk Foundation.
Budget: *50,000 EUR (APHRC Portion 11,250 EUR).
Partners: University of Amsterdam- the Netherlands, University of Aarhus- Denmark, Kwame Nkrumah University of Science and Technology- Ghana
APHRC Project Staff: Frederick Murunga Wekesah (PI/PM), Simeon Kintu Paul (Research Officer)

Version

Version Date
2025-04-30
Version Notes
N/A

Scope

Keywords
Keyword
electronic personal health record
migration
mobile populations
medical data exchange
digital health
health equity

Coverage

Geographic Coverage
National coverage – Nairobi County.
Unit of Analysis
Individual
Institutional
Universe
-National and Governmental Stakeholders Involved with Digital Health.
-NGOs and Organizations Working with Vulnerable Populations.

Producers and sponsors

Authoring entity/Primary investigators
Agency Name Affiliation
Frederick Murunga Wekesah African Population and Health Research Center (APHRC)
Producers
Name Affiliation Role
Simeon Kintu Paul African Population and Health Research Center (APHRC) Research and Data Documentation Officer
Bonface Butichi Ingumba African Population and Health Research Center (APHRC) Data Governance Officer
Funding Agency/Sponsor
Name Role
Novo Nordisk Foundation Funder
Other Identifications/Acknowledgments
Name Affiliation Role
Prof. Dr. Charles Agyemang University of Amsterdam – the Netherlands Overall PI

Sampling

Sampling Procedure
An exploratory qualitative approach, involving a series of interviews with key stakeholders, was used in this study. Participants were recruited through purposive and convenience sampling, with snowball techniques employed to extend the pool of potential participants as they were recruited. Invitations were sent either via email or through personal, in-person encounters.
Deviations from the Sample Design
There was no deviation from the original sample design.
Response Rate
The response rate was 95%.
Weighting
N/A

Data Collection

Dates of Data Collection (YYYY/MM/DD)
Start date End date
2024-11-27 2025-02-14
Mode of data collection
Other [oth]
Supervision
The project team comprised the Principal Investigator (PI), who also served as the Project Manager (PM), and a Research Officer who was responsible for recruiting study participants and scheduling appointments for in-depth interviews with stakeholders. In-depth interviews were conducted as part of stakeholder consultations and were facilitated by both the PI/PM and the Research Officer. The interview guides were reviewed for validity and reliability prior to data collection. A transcriber was engaged to assist with transcribing the audio recordings. The Research Officer reviewed the transcripts to ensure they were consistent with the audio and that all necessary information had been accurately captured. Additionally, the Research Officer played a key role in managing the data collection process, including planning, scheduling, conducting quality checks, analyzing data, and contributing to report writing.
Type of Research Instrument
We used in-depth interview guides to conduct stakeholder consultations with Macro (National and Governmental Stakeholders) and Meso level (NGOs and Organizations Working with Vulnerable Populations) participants.
1). In-depth Interview Guide for participants at the Macro level;
>The following were the key thematic areas:
-Section I: Introduction
-Section II: Demographics
-Section III: Understanding of Mobile Populations
-Section IV: Perceptions of Continuity of Care
-Section V: Digitalization in Healthcare and the role of EPHRs
-Section VI: Closing

2). In-depth Interview Guide for participants at the Meso level;
>The following were the key thematic areas:
-Section I: Introduction
-Section II: Demographics
-Section III: Understanding of Mobile Populations
-Section IV: Perceptions of Continuity of Care
-Section V: Role of Electronic Personal Health Records (EPHR)
-Section VI: Closing

Data Processing

Cleaning Operations
Data editing occurred at multiple stages during processing, including checking the coherence of transcripts, conducting quality checks, and assessing the validity and relevance of key themes and sub-themes in relation to the study objectives. Recording was done using a digital recorder (Sony), with phone recordings used as a backup. Additional quality checks were carried out to ensure the integrity of the data collected and to confirm that all relevant information was captured throughout the process. Coding was conducted using NVivo software (version 15), guided by a codebook framework developed specifically for the qualitative data analysis.
Other Processing
The audio files were transcribed by a transcriber, and the transcripts were coded using NVivo version 15. Coding was conducted both manually and with the support of NVivo. A hybrid approach, combining inductive and deductive coding, was applied during thematic analysis.

Data Appraisal

Estimates of Sampling Error
N/A

Data access

Contact
Name Email URI
African Population and Health Research Center (APHRC) datarequests@aphrc.org/info@aphrc.org aphrc.org
Conditions
APHRC data access condition

All non-APHRC staff seeking to use data generated at the Center must obtain written approval to use the data from the Director of Research.
This form is developed to assess applications for data use and facilitate responsible sharing of data with external partners/collaborators/researchers. By entering into this agreement, the undersigned agrees to use these data only for the purpose for which they were obtained and to abide by the conditions outlined below:

1.Data Ownership:
The data remain the property of APHRC; any unauthorized reproduction and sharing of the data is strictly prohibited. The user will, therefore, not release nor permit others to use or release the data to any other person without the written authorization from the Center.

2.Purpose:
The provided data must be used for the purpose specified in the Data Request Form; any other use not specified in the form must receive additional or separate authorization.

3.Respondent Identifiers:
The Center is committed to protecting the identity of the respondents who provide information in its research. All analytical data sets (both qualitative and quantitative) released by the Data Unit MUST are stripped of respondent identifiers to protect the identity of the respondents. By accepting to use APHRC data, the user is pledging that he/she will not, under any circumstance, regenerate the identifiers or permit others to use the data to learn the identity of any individual, household or community included in any data set.

4.Confidentiality pledge:
The user will not use nor permit others to use the data to report any information in the data sets that could identify, directly or by inference, individuals or households.

5.Reporting of errors or inconsistencies:
The user will promptly notify the Head of the Statistics and Survey Unit any errors discovered in the data as soon as the errors are discovered.

6.Publications resulting from APHRC data:
The Center requires external collaborators to work with APHRC staff on all publications resulting from its data. In order to facilitate this, lead authors should send a detailed concept note of the paper (including the background, rationale, data, analytical methods, and preliminary findings) to the Principle Investigator (or Theme Leader) for the project (with a copy to the Director of Research), who will circulate the abstract to concerned researchers for possible expression of interest in participating in the publication as co-authors. Any exception to the involvement of APHRC staff should be approved by the Director of Research, APHRC.

7.Security:
The user will take responsibility for the security of the data by ensuring that the data are used and stored in a secure environment where access is password protected. This will ensure that non-authorized people should not have access to the data.

8.Loss of privilege to use data:
In the event that APHRC determines that the data user is in violation of the conditions for using the data, or if the user wishes to cancel this agreement, the user will destroy the data files provided to him/her. APHRC retains the right to revoke this agreement or informs publishers to withhold publication of any work based wholly or in part on its data if the conditions for using the data are violated.

9.Acknowledgement:
Any work/reports from this data must acknowledge APHRC as the source of these data. For example, the suggested acknowledgement for NUHDSS data is:
"This research uses livelihoods data collected under the longitudinal Nairobi Urban Health and Demographic Surveillance System (NUHDSS) since 2006. The NUHDSS is carried out by the African Population and Health Research Center in two slums settlements (Korogocho and Viwandani) in Nairobi City."Additionally all funders, the study communities that provided the data, and staff who collected and analyzed or processed the data should be acknowledged.

10.Deposit of Reports/Papers:
The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.

11.Change of contact details:
The user will promptly inform the Director of Research of any change in your personal details as contained on this data request form.
Citation requirement
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Metadata production

Document ID
DDI-KEN-APHRC-HealthEMove-2024-V10
Producers
Name Abbreviation Affiliation Role
African Population and Health Research Center APHRC APHRC Documentation of the DDI
Date of Production
2025-04-30
Document version
Version 1.0 (April, 2025)