| Literature DB >> 35818056 |
Sisay Abayneh1,2, Heidi Lempp3, Brandon A Kohrt4, Atalay Alem5, Charlotte Hanlon5,6,7.
Abstract
BACKGROUND: Little is known about actual involvement or how to achieve service user and caregiver in mental health systems strengthening in low-and middle-income countries. This study describes the processes and explores involvement experiences of participants in a pilot study of a new model of service user involvement in mental health system strengthening in a rural district in southern Ethiopia.Entities:
Keywords: Participatory action research; Service-user involvement; Sub-Saharan Africa; Theory of change
Year: 2022 PMID: 35818056 PMCID: PMC9275138 DOI: 10.1186/s13033-022-00545-8
Source DB: PubMed Journal: Int J Ment Health Syst ISSN: 1752-4458
Composition of stakeholder groups
| Composition of research advisory group | No | Composition of research participant group | No |
|---|---|---|---|
| Health sector | 5 | Service users | 6 |
| Justice sector | 3 | Caregivers | 4 |
| District administration | 2 | Health professionals | 2 |
| Education | 1 | ||
| Labor and social affairs | 1 | ||
| Gender, youth and children affairs | 1 | ||
| Community organizations (Religion, Idir) | 2 | ||
| Volunteer activists | 2 | ||
| Service users | 5 | ||
| Caregivers | 4 |
Summary of data collection methods
| Methods of data collection | Description |
|---|---|
| Process documentation | • Workshop (n = 3) participant attendances and PAR sessions(n = 11) • Workshop minutes(n = 3) and audio-recordings(n = 11) • Summary of prioritization exercise outputs, review of flipchart notes, and photographs • Facilitator reflection notes |
| Participatory observation | • Participatory observation of workshops (n = 3) and PAR sessions (n = 11). Data collection focused on: interaction between participants/group dynamics, role of participants, agenda items discussed |
| In-depth interviews | • Conducted face-to-face interview with 12 members of RPG to explore experiences of involvement in the PAR process using a topic guide (Additional file • Participants were fully informed about the study and gave informed written consent (finger print if non-literate) • All interviews were conducted by a single interviewer (female) with a master’s degree, who had not been engaged in the research process • All interviews were audio-recorded • Interviews lasted between 23 and 49 min (with an average of 32 min) |
Summary of data analysis methods
| PAR process description | Experiences of involvement |
|---|---|
Data analysis was participatory that engaged participants: • Members of RPG and RAG identified, categorized and summarized top priorities using nominal group techniques [12] • Members of RPG generated long lists of data in small groups in a two-times per weekly PAR sessions using Venn diagrams and flipcharts • SA conducted preliminary thematic analysis of from meeting minutes, flipchart notes and facilitators reflective notes • Then shared with RPG by displaying on the wall to demystify the PAR process, enable collective sense-making of the data, encourage their active participation, ensure an accurate representation of their views and critically reflect on any gaps • Finally, the summary of the prioritization exercise and flipchart presentations at each session was triangulated with audio-recordings of sessions, minutes of the workshops and the SA's reflective notes; and presented descriptively for the three stages of PAR (See Figs. | RPG experience of involvement data was analyzed using inductive and deductive approach using six steps thematic analysis procedures described by Braun and Clarke [ • All interviews were transcribed verbatim into Amharic by independent transcribers • SA checked transcripts for accuracy, and translated into English • De-identified transcripts were then uploaded to Opencode 4.03 software, to assist data management and analysis • SA and a colleague independently carried out initial coding of two randomly selected transcripts inductively • Following discussion and consensus about the coding, SA coded all the transcripts and collated the codes into sub-themes and themes • The coding trees developed from the in-depth interviews data were used to link the content and common elements from supporting datasets (field notes, workshop minutes and reflective notes, observation) through a deductive thematic analysis approach [ |
Fig. 3Summary of Stage 2 activities
Fig. 4A thematic map
Characteristics of stakeholders in the study
| Types of Participants | Characteristics | ||||||
|---|---|---|---|---|---|---|---|
| Number of participants | Gender | Age range | Highest formal education | ||||
| Workshop 1 | Workshop 2 | Workshop 3 | Male | Female | 18–29, 30–49, 50+ | None, Primary, Secondary, Tertiary | |
| Government sector office leaders | 8 | 16 | 18 | 13 | 5 | 18–30(3), 30–49(13), 50+(2) | BSC/BA(11), Diploma(6),MSC(1) |
| Community institution leaders(Idir leaders, Religious and faith-based) | 6 | – | 3 | 7 | – | 50+(7) | Non-formal (4), BA (2), Diploma (1) |
| Health professionals | 5 | 6 | 6 | 3 | 3 | 18–29(3),30–49(3) | Diploma(1), BSc(5) |
| Service-users | 14 | 9 | 11 | 5 | 9 | 18–29(5), 30–49(5), 50+(4) | No literacy(4),None(3), primary(7) |
| Caregivers | 14 | 6 | 8 | 7 | 7 | 18–29(3),30–49(9), 50+(2) | No literacy(7) None(1), primary(5), secondary(1) |
| Total | 47 | 37 | 46 | 35 | |||
Fig. 1Summary of stage 3 PAR processes
Fig. 2Steps in prioritization exercise
Demographic characteristic of RPG members
| Characteristics | Frequency |
|---|---|
| Gender | |
| Male | 6 |
| Female | 6 |
| Age range | |
23–30 31–39 40–49 50+ | 4 3 3 2 |
| Highest formal educational attained | |
Non-literate Primary school Secondary school University | 4 4 1 3 |
| Diagnosis | |
Depression Schizophrenia Bipolar disorder Alcohol user disorder Epilepsy | 1 2 1 1 1 |
| Length living with mental health condition/service | |
3–5 6–10 11+ | 5 5 2 |