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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Health Services Research 1/2017

A process evaluation plan for assessing a complex community-based maternal health intervention in Ogun State, Nigeria

Zeitschrift:
BMC Health Services Research > Ausgabe 1/2017
Autoren:
Sumedha Sharma, Olalekan O. Adetoro, Marianne Vidler, Sharla Drebit, Beth A. Payne, David O. Akeju, Akinmade Adepoju, Ebunoluwa Jaiyesimi, John Sotunsa, Zulfiqar A. Bhutta, Laura A. Magee, Peter von Dadelszen, Olukayode Dada
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12913-017-2124-4) contains supplementary material, which is available to authorized users.

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Abstract

Background

Despite increased investment in community-level maternal health interventions, process evaluations of such interventions are uncommon, and can be instrumental in understanding mediating factors leading to outcomes. In Nigeria, where an unacceptably number of maternal deaths occur (maternal mortality ratio of 814/100,000 livebirths), the Community Level Interventions for Pre-eclampsia (CLIP) study (NCT01911494) aimed to reduce maternal and neonatal mortality and morbidity with a complex intervention of five interrelated components. Building from previous frameworks, we illustrate a methodology to evaluate implementation processes of the complex CLIP intervention, assess mechanisms of impact and identify emerging unintended causal pathways.

Methods

The study was conducted from 2013–2016 in five Local Government Areas in Ogun State, Nigeria. A six-step approach was developed to evaluate key constructs of context (external factors related to intervention), implementation (fidelity, dose, reach, and adaption) and mechanisms of impact (unintended outcomes and mediating pathways). The steps are: 1) describing the intervention by a logic model, 2) defining acceptable delivery, 3) formulating questions, 4) determining methodology, 5) planning resources in context, lastly, step 6) finalising the plan in consideration with relevant stakeholders.

Results

Quantitative data were collected from 32,785 antenatal and postnatal visits at the primary health care level, from 66 community engagement sessions, training assessments of community health workers, and standard health facility questionnaires. Forty-three focus group discussions, 38 in-depth interviews, and 23 structured observations were conducted to capture qualitative data. A total of 103 community engagement reports and 182 suspected pre-eclampsia case reports were purposively collected. Timing of data collection was staggered to understand feedback mechanisms that may have resulted from the delivery of the intervention. Data will be analysed using R and NVivo. Diffusions of innovations and realist evaluation theories will underpin analysis of the interaction between context, mechanisms and outcomes.

Conclusion

This comprehensive approach can serve as a guide for researchers and policy makers to plan the evaluation of similar complex health interventions in resource-constrained settings, and to aid in measuring 'effectiveness' of interventions and not just 'efficacy'.

Trial registration

This research is a part of the Community Level Interventions for Pre-eclampsia Study, NCT01911494. The trial is registered in Clinicaltrials.gov, the URL is https://​clinicaltrials.​gov/​ct2/​show/​NCT01911494 The trial was registered on June 28, 2013 and the first participant was enrolled for intervention on March 1, 2014.
Zusatzmaterial
Additional file 1: Figure S1. Components of the CLIP intervention. (PDF 67 kb)
12913_2017_2124_MOESM1_ESM.pdf
Additional file 2: Table S1. Final plan to measure the construct of implementation. (DOCX 17 kb)
12913_2017_2124_MOESM2_ESM.docx
Additional file 3: Table S2. Final plan to assess the mechanisms of impact of CLIP intervention. (DOCX 15 kb)
12913_2017_2124_MOESM3_ESM.docx
Additional file 4: Table S3. Final plan to assess context of CLIP intervention. (DOCX 16 kb)
12913_2017_2124_MOESM4_ESM.docx
Additional file 5: Figure S2. Information captured via the POM app in Ogun, Nigeria. (PDF 30 kb)
12913_2017_2124_MOESM5_ESM.pdf
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