Evidence map›Paper›PMID 32183805›Full record

ArticleBMC health services research2020

Testing the validity and feasibility of using a mobile phone-based method to assess the strength of implementation of family planning programs in Malawi.

Anooj Pattnaik, Diwakar Mohan, Sam Chipokosa, Sautso Wachepa, Hans Katengeza, Amos Misomali, Melissa A Marx

Abstract readValidation Study
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Anooj PattnaikDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St, E5541, Baltimore, MD, 21205, USA. ajpattnaik@gmail.com.ORCID http://orcid.org/0000-0003-0521-0579
Diwakar MohanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St, E5541, Baltimore, MD, 21205, USA.
Sam ChipokosaNational Statistical Office, Zomba, Malawi.
Sautso WachepaNational Statistical Office, Zomba, Malawi.
Hans KatengezaReproductive Health Directorate, Ministry of Health and Population, Lilongwe, Malawi.
Amos MisomaliNational Evaluation Platform, Lilongwe, Malawi.
Melissa A MarxDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St, E5541, Baltimore, MD, 21205, USA.

Funding

Global Affairs Canada 7061914
6 · The paper itself

Abstract

backgroundTo effectively deliver on proposed objectives, it is vital that practitioners, policymakers, and other stakeholders are able to clearly understand how strongly their large-scale program is being implemented. This study sought to test the feasibility, cost-effectiveness, and validity of a phone-based method as an innovative and cost-efficient approach to assessing program implementation strength (through an Implementation Strength Assessment - ISA), alternative to the traditional in-person field methods.

methodsWe conducted 701 mobile phone and 356 in-person interviews with facility in-Charges and two types of community health workers who provide family planning services in the Dowa and Ntcheu districts in Malawi. Responses received via the phone interview were validated through in-person review of records and inspections. Sensitivity and specificity were calculated to determine validity.

resultsMost indicators at the health facility and community health worker levels were above a 70% threshold for sensitivity. However, there were fewer indicators that met this threshold for specificity. The primary reason for lower specificity was due to poor recordkeeping. Collecting data via mobile phone was found to be feasible and twice as cost-efficient as collecting the same data via in-person inspections.

conclusionsThe rapid increase in mobile phone ownership and network availability in lower income countries could offer an alternative, cost-effective avenue to collect data for a better understanding of program implementation. Through rigorous assessment, this study found that using mobile phones could be a low-cost alternative to collect data on health system delivery of services, especially in places where routine data quality is poor and traditional, in-person methods are costly.

Indexed as

Attitude of Health PersonnelCell PhoneCommunity Health WorkersFamily Planning ServicesCost-Benefit AnalysisData CollectionDeveloping CountriesFeasibility StudiesHouse CallsHumansInterviews as TopicMalawiProgram EvaluationSensitivity and SpecificityYoung AdultFamily planningHealth workerImplementation strengthMalawiMobile phonesSensitivitySexual and reproductive healthSpecificityValidationYouthYouth friendly health services

Identifiers

PMID32183805
PMCPMC7076956

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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.