Evidence map›Paper›PMID 36607708›Full record

ArticleJournal of medical Internet research2023

Factors Affecting the Successful Implementation of a Digital Intervention for Health Financing in a Low-Resource Setting at Scale: Semistructured Interview Study With Health Care Workers and Management Staff.

Leon Schuetze, Siddharth Srivastava, Abdallah Mtiba Missenye, Elizeus Josephat Rwezaula, Manfred Stoermer, Manuela De Allegri

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
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

6 authors at 3 institutions in 3 countries.

Leon SchuetzeHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.ORCID 0000-0002-4735-6069
Siddharth SrivastavaSwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.ORCID 0000-0002-8241-3364
Abdallah Mtiba MissenyeKongwa District Council, Dodoma, United Republic of Tanzania.ORCID 0000-0001-9855-8675
Elizeus Josephat RwezaulaHealth Promotion and System Strengthening Project (HPSS), Dodoma, United Republic of Tanzania.ORCID 0000-0002-4353-4649
Manfred StoermerSwiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.ORCID 0000-0002-6695-3854
Manuela De AllegriHeidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.ORCID 0000-0002-8677-1337
Heidelberg University · DESwiss Tropical and Public Health Institute · CHMinistry of Health, Community Development, Gender, Elderly and Children · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital interventions for health financing, if implemented at scale, have the potential to improve health system performance by reducing transaction costs and improving data-driven decision-making. However, many interventions never reach sustainability, and evidence on success factors for scale is scarce. The Insurance Management Information System (IMIS) is a digital intervention for health financing, designed to manage an insurance scheme and already implemented on a national scale in Tanzania. A previous study found that the IMIS claim function was poorly adopted by health care workers (HCWs), questioning its potential to enable strategic purchasing and succeed at scale.

objectiveThis study aimed to understand why the adoption of the IMIS claim function by HCWs remained low in Tanzania and to assess implications for use at scale.

methodsWe conducted 21 semistructured interviews with HCWs and management staff in 4 districts where IMIS was first implemented. We sampled respondents by using a maximum variation strategy. We used the framework method for data analysis, applying a combination of inductive and deductive coding to organize codes in a socioecological model. Finally, we related emerging themes to a framework for digital health interventions for scale.

resultsRespondents appreciated IMIS's intrinsic software characteristics and technical factors and acknowledged IMIS as a valuable tool to simplify claim management. Human factors, extrinsic ecosystem, and health care ecosystem were considered as barriers to widespread adoption.

conclusionsDigital interventions for health financing, such as IMIS, may have the potential for scale if careful consideration is given to the environment in which they are placed. Without a sustainable health financing environment, sufficient infrastructure, and human capacity, they cannot unfold their full potential to improve health financing functions and ultimately contribute to universal health coverage.

Indexed as

EcosystemHealthcare FinancingDelivery of Health CareHealth PersonnelHumansQualitative Researchdigital health interventionhealth financinglow-resource settingmobile phonequalitativescalestrategic purchasing

Identifiers

PMID36607708
PMCPMC9862332
OpenAlexW4313650102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.