Evidence map›Paper›PMID 31675965›Full record

ArticleHuman resources for health2019

Optimising the performance of frontline implementers engaged in the NTD programme in Nigeria: lessons for strengthening community health systems for universal health coverage.

Akinola Oluwole, Laura Dean, Luret Lar, Kabiru Salami, Okefu Okoko, Sunday Isiyaku, Ruth Dixon, Elizabeth Elhassan, Elena Schmidt, Rachael Thomson and 2 more

Abstract read
In one paragraph

Article in Human resources for health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Akinola OluwoleSightsavers, Nigeria Country Office, 1 Golf Course road, PO Box 503, Kaduna, Kaduna State, Nigeria. akinolaoluwole@gmail.com.ORCID 0000-0002-0050-3463
Laura DeanLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Luret LarSightsavers, Nigeria Country Office, University of Jos, Jos, Nigeria.
Kabiru SalamiUniversity of Ibadan, Ibadan, Nigeria.
Okefu OkokoFederal Ministry of Health, Abuja, Nigeria.
Sunday IsiyakuSightsavers, Nigeria Country Office, 1 Golf Course road, PO Box 503, Kaduna, Kaduna State, Nigeria.
Ruth DixonSightsavers, UK, Haywards Health, UK.
Elizabeth ElhassanSightsavers, Nigeria Country Office, 1 Golf Course road, PO Box 503, Kaduna, Kaduna State, Nigeria.
Elena SchmidtSightsavers, UK, Haywards Health, UK.
Rachael ThomsonLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Sally TheobaldLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Kim OzanoLiverpool School of Tropical Medicine, Liverpool, United Kingdom.

Funding

Department for International Development, UK Government Grant ID - PO 6407
6 · The paper itself

Abstract

backgroundThe control and elimination of Neglected Tropical Diseases (NTDs) is dependent on mass administration of medicines (MAM) in communities and schools by community drug distributers (CDDs) who are supported and supervised by health facility staff (FLHF) and teachers. Understanding how to motivate, retain and optimise their performance is essential to ensure communities accept medicines. This study aimed to capture and translate knowledge, problems and solutions, identified by implementers, to enhance NTD programme delivery at the community level in Nigeria.

methodsQualitative data was collected through participatory stakeholder workshops organised around two themes: (i) identification of problems and (ii) finding solutions. Eighteen problem-focused workshops and 20 solution-focussed workshops were held with FLHF, CDDs and teachers in 12 purposively selected local government areas (LGA) across two states in Nigeria, Ogun and Kaduna States.

resultThe problems and solutions identified by frontline implementers were organised into three broad themes: technical support, social support and incentives. Areas identified for technical support included training, supervision, human resource management and workload, equipment and resources and timing of MAM implementation. Social support needs were for more equitable drug distributor selection processes, effective community sensitisation mechanisms and being associated with the health system. Incentives identified were both non-financial and financial including receiving positive community feedback and recognition and monetary remuneration. The results led to the development of the 'NTD frontline implementer's framework' which was adapted from the Community Health Worker (CHW) Generic Logic Model by Naimoli et al. (Hum Resour Health 12:56, 2014).

conclusionMaximising performance of frontline implementers is key to successful attainment of NTD goals and other health interventions. As NTDs are viewed as a 'litmus test' for universal health coverage, the lessons shared here could cut across programmes aiming to achieve equitable coverage. It is critical to strengthen the collaboration between health systems and communities so that together they can jointly provide the necessary support for frontline implementers to deliver health for all. This research presents additional evidence that involving frontline implementers in the planning and implementation of health interventions through regular feedback before, during and after implementation has the potential to strengthen health outcomes.

Indexed as

Universal Health InsuranceCommunity Health PlanningCommunity Health ServicesCommunity Health WorkersHumansNeglected DiseasesNigeriaProgram EvaluationTropical ClimateChallenges and solutionsFrontline implementersHealth equityNigeriaNTD programmeOptimising performanceParticipatory research methodsUniversal health coverage

Identifiers

PMID31675965
PMCPMC6824027

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.