A cluster randomized controlled trial to assess the impact of the 'Caring for Providers to Improve Patient Experience' (CPIPE) intervention in Kenya and Ghana: study protocol.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
16 Sep 2024
Historique:
received: 29 04 2024
accepted: 09 09 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: epublish

Résumé

Poor person-centered maternal care (PCMC) contributes to high maternal mortality and morbidity, directly and indirectly, through lack of, delayed, inadequate, unnecessary, or harmful care. While evidence on poor PCMC prevalence, as well as inequities, expanded in the last decade, there is still a significant gap in evidence-based interventions to address PCMC. We describe the protocol for a trial to test the effectiveness of the "Caring for Providers to Improve Patient Experience" (CPIPE) intervention, which includes five strategies, targeting provider stress and bias as intermediate factors to improve PCMC and address inequities. The trial will assess the effect of CPIPE on PCMC, as well as on intermediate and distal outcomes, using a two-arm cluster randomized controlled trial in 40 health facilities in Migori and Homa Bay Counties in Kenya and Upper East and Northeast Regions in Ghana. Twenty facilities in each country will be randomized to 10 intervention and 10 control sites. The primary intervention targets are all healthcare workers who provide maternal health services. The intervention impact will be assessed among healthcare workers in the study health facilities and among women who give birth in the study health facilities. The primary outcome is PCMC measured with the PCMC scale, via multiple cross-sectional surveys of mothers who gave birth in the preceding 12 weeks in study facilities at baseline (prior to the intervention), midline (6 months after intervention start), and endline (12 months post-baseline) (N = 2000 across both countries at each time point). Additionally, 400 providers in the study facilities across both countries will be followed longitudinally at baseline, midline, and endline, to assess intermediate outcomes. The trial incorporates a mixed-methods design; survey data alongside in-depth interviews (IDIs) with healthcare facility leaders, providers, and mothers to qualitatively explore factors influencing the outcomes. Finally, we will collect process and cost data to assess intervention fidelity and cost-effectiveness. This trial will be the first to rigorously assess an intervention to improve PCMC that addresses both provider stress and bias and will advance the evidence base for interventions to improve PCMC and contribute to equity in maternal and neonatal health. ClinicalTrials.gov: NCT06085105. Protocol version and date: v2-11-07-23.

Sections du résumé

BACKGROUND BACKGROUND
Poor person-centered maternal care (PCMC) contributes to high maternal mortality and morbidity, directly and indirectly, through lack of, delayed, inadequate, unnecessary, or harmful care. While evidence on poor PCMC prevalence, as well as inequities, expanded in the last decade, there is still a significant gap in evidence-based interventions to address PCMC. We describe the protocol for a trial to test the effectiveness of the "Caring for Providers to Improve Patient Experience" (CPIPE) intervention, which includes five strategies, targeting provider stress and bias as intermediate factors to improve PCMC and address inequities.
METHODS METHODS
The trial will assess the effect of CPIPE on PCMC, as well as on intermediate and distal outcomes, using a two-arm cluster randomized controlled trial in 40 health facilities in Migori and Homa Bay Counties in Kenya and Upper East and Northeast Regions in Ghana. Twenty facilities in each country will be randomized to 10 intervention and 10 control sites. The primary intervention targets are all healthcare workers who provide maternal health services. The intervention impact will be assessed among healthcare workers in the study health facilities and among women who give birth in the study health facilities. The primary outcome is PCMC measured with the PCMC scale, via multiple cross-sectional surveys of mothers who gave birth in the preceding 12 weeks in study facilities at baseline (prior to the intervention), midline (6 months after intervention start), and endline (12 months post-baseline) (N = 2000 across both countries at each time point). Additionally, 400 providers in the study facilities across both countries will be followed longitudinally at baseline, midline, and endline, to assess intermediate outcomes. The trial incorporates a mixed-methods design; survey data alongside in-depth interviews (IDIs) with healthcare facility leaders, providers, and mothers to qualitatively explore factors influencing the outcomes. Finally, we will collect process and cost data to assess intervention fidelity and cost-effectiveness.
DISCUSSION CONCLUSIONS
This trial will be the first to rigorously assess an intervention to improve PCMC that addresses both provider stress and bias and will advance the evidence base for interventions to improve PCMC and contribute to equity in maternal and neonatal health.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov: NCT06085105. Protocol version and date: v2-11-07-23.

Identifiants

pubmed: 39285405
doi: 10.1186/s12889-024-20023-9
pii: 10.1186/s12889-024-20023-9
doi:

Banques de données

ClinicalTrials.gov
['NCT06085105']

Types de publication

Journal Article Randomized Controlled Trial Clinical Trial Protocol

Langues

eng

Sous-ensembles de citation

IM

Pagination

2509

Subventions

Organisme : Eunice Kennedy Shriver National Institute of Child Health and Human Development
ID : R01 HD110370-02

Informations de copyright

© 2024. The Author(s).

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Auteurs

Patience A Afulani (PA)

Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA. Patience.Afulani@ucsf.edu.
Institute for Global Health Sciences, University of California, San Francisco, CA, USA. Patience.Afulani@ucsf.edu.
Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA. Patience.Afulani@ucsf.edu.

Monica Getahun (M)

Institute for Global Health Sciences, University of California, San Francisco, CA, USA.

Linnet Ongeri (L)

Kenya Medical Research Institute, Nairobi, Kenya.

Raymond Aborigo (R)

Navrongo Health Research Centre, Navrongo, Ghana.

Joyceline Kinyua (J)

Kenya Medical Research Institute, Nairobi, Kenya.

Beryl A Ogolla (BA)

Global Programs for Research and Training, Nairobi, Kenya.

Jaffer Okiring (J)

Global Programs for Research and Training, Kampala, Uganda.

Ali Moro (A)

Navrongo Health Research Centre, Navrongo, Ghana.

Iscar Oluoch (I)

Migori County Government, Migori, Kenya.

Maxwell Dalaba (M)

Institute of Health Research, University of Health, and Allied Sciences (UHAS), Ho, Ghana.

Osamuedeme Odiase (O)

Institute for Global Health Sciences, University of California, San Francisco, CA, USA.

Jerry John Ouner (JJ)

Department of Family Health Care Nursing, School of Nursing, University of California San Francisco, San Francisco, CA, USA.

Wendy Berry Mendes (WB)

Department of Psychology, Yale University, New Haven, USA.

Dilys Walker (D)

Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.

Torsten B Neilands (TB)

Department of Medicine, University of California San Francisco, San Francisco, CA, USA.

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