An evaluation of a family planning mobile job aid for community health workers in Tanzania

Braun, Rebecca; Lasway, Christine; Agarwal, Smisha; L’Engle, Kelly; Layer, Erica H.; Silas, Lucy; Mwakibete, Anna; Kudrati, Mustafa

doi:10.1016/j.contraception.2016.03.016

Cited by 37 publications

(49 citation statements)

References 14 publications

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“…The range of tools for CHWs involved in these studies include job aids, scheduling systems, checklists and/or client education and behavior change communication tools. However, of the eight studies conducted in both Asia and sub-Saharan Africa, only two of them sought beneficiary perceptions of the interventions and how it influenced the uptake of services among beneficiaries [12][13][14][15][16][17][18][19]. In studies where beneficiaries' perspectives were sought, they reported better quality of interactions with CHWs, active participation in care-seeking, and better quality of services [14,16].…”

Section: Introductionmentioning

confidence: 99%

Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries

et al. 2020

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Background mHealth technologies are proliferating globally to address quality and timeliness of health care delivery by Community Health Workers (CHWs). This study aimed to examine CHW and beneficiaries' perceptions of a new mHealth intervention (Common Application Software [CAS] for CHWs in India. The objectives of the study were to seek perspectives of CHWs and beneficiaries on the uptake of CAS, changes in CHW-beneficiary interactions since the introduction of CAS and potential barriers faced by CHWs in use of CAS. Further, important contextual factors related to CHW-beneficiary interface and dynamics that may have a bearing on CAS have been described. Methods A qualitative study was conducted in two states of India (Bihar and Madhya Pradesh) from March-April 2018 with CHWs (n = 32) and beneficiaries (n = 55). All interviews were conducted and recorded in Hindi, transcribed and translated into English, and coded and thematically analysed using Dedoose.

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Section: Introductionmentioning

confidence: 99%

Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries

et al. 2020

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“…In two districts of Zambia a successful piloted has been reported, whereby mobile phones applications are used to submit reports including cases, and medical and diagnostics supplies to a DHIS2 database, and from which feed-back is received by eld o cers [55]. Other studies have shown electronic reporting can be effective tools for submitting reports in near real-time [56][57][58]. Unlike other programs such as for tuberculosis, acute respiratory infections and immunization that involve aggregated reporting, the malaria program in Solomon Islands uses case-based reporting.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the District Health Information System 2 supported malaria reporting system in Solomon Islands

Wangdi

Sarma

Leaburi³

et al. 2020

Preprint

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BackgroundDistrict Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for monitoring infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system.MethodsThe evaluation was conducted in three administrative areas of Solomon Islands: Honoria City Council, and Malaita and Guadalcanal Provinces. Records of nine malaria indicators from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas: availability, completeness, timeliness and reliability. To obtain more detailed information on the performance of the malaria case reporting system, focus group discussions were conducted with health centre nurses, whilst in-depth interviews were conducted with stakeholder representatives from government (province and national) staff and WHO officials who were users of DHIS2. ResultsData were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. The completeness and timeliness from the two provinces of all nine indicators were 28.2% and 5.1% respectively. The most reliable indicator in DHIS2 was ‘clinical malaria’ (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms. ConclusionThe availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements such as electronic reporting will be required to further improve the malaria reporting system.

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“…Zambia has expanded reporting from health centres directly into DHIS2 using telephones [37]. Other studies have shown that telephones can be an effective tool for submitting reports in near real-time [38]. Unlike other programs such as for tuberculosis, acute respiratory infections and immunization that involve aggregated reporting, the malaria program in Solomon Islands uses case-based reporting.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the District Health Information System 2 Supported Malaria Reporting System in Solomon Islands

Wangdi

Sarma

Leaburi³

et al. 2020

Preprint

View full text Add to dashboard Cite

BackgroundDistrict Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for managing infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system.MethodsThe evaluation was conducted in three administrative areas of Solomon Islands: Honoria City Council, and Malaita and Gundacanal Provinces. Records of nine malaria indicators from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas: availability, completeness, timeliness and reliability. To obtain more detailed information on performance of the malaria case reporting system, focus group discussions (FGD) were conducted with health centre nurses, whilst in-depth interviews (IDI) were conducted with stakeholder representatives from government (province and national) staff and WHO officials who were users of DHIS2. ResultsData were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. Overall, completeness of all nine indicators was 28.2% and 5.1% of health centres submitted reports on time. The most reliable indicator in DHIS2 was ‘clinical malaria’ (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms. ConclusionThe availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements such as electronic reporting will be required to further improve the malaria reporting system.

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An evaluation of a family planning mobile job aid for community health workers in Tanzania

Cited by 37 publications

References 14 publications

Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries

Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries

Evaluation of the District Health Information System 2 supported malaria reporting system in Solomon Islands

Evaluation of the District Health Information System 2 Supported Malaria Reporting System in Solomon Islands

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