Evidence map›Paper›PMID 37862105›Full record

ArticleJMIR formative research2023

Facilitators and Barriers in the Implementation of a Digital Surveillance and Outbreak Response System in Ghana Before and During the COVID-19 Pandemic: Qualitative Analysis of Stakeholder Interviews.

Basil Benduri Kaburi, Kaspar Wyss, Ernest Kenu, Franklin Asiedu-Bekoe, Anja M Hauri, Dennis Odai Laryea, Carolina J Klett-Tammen, Frédéric Leone, Christin Walter, Gérard Krause

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

10 authors.

Basil Benduri KaburiDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0003-4601-3424
Kaspar WyssSwiss Tropical and Public Health Institute, Allschwil, Switzerland.ORCID https://orcid.org/0000-0003-0156-5989
Ernest KenuGhana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0001-8007-0073
Franklin Asiedu-BekoePublic Health Division, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0000-0002-0691-5020
Anja M HauriDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0001-6569-0768
Dennis Odai LaryeaPublic Health Division, Ghana Health Service, Accra, Ghana.ORCID https://orcid.org/0000-0003-2212-084X
Carolina J Klett-TammenDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0001-9685-5369
Frédéric LeoneDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0001-6394-2909
Christin WalterDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0001-5652-4936
Gérard KrauseDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID https://orcid.org/0000-0003-3328-8808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past 2 decades, many countries have recognized the use of electronic systems for disease surveillance and outbreak response as an important strategy for disease control and prevention. In low- and middle-income countries, the adoption of these electronic systems remains a priority and has attracted the support of global health players. However, the successful implementation and institutionalization of electronic systems in low- and middle-income countries have been challenged by the local capacity to absorb technologies, decisiveness and strength of leadership, implementation costs, workforce attitudes toward innovation, and organizational factors. In November 2019, Ghana piloted the Surveillance Outbreak Response Management and Analysis System (SORMAS) for routine surveillance and subsequently used it for the national COVID-19 response.

objectiveThis study aims to identify the facilitators of and barriers to the sustainable implementation and operation of SORMAS in Ghana.

methodsBetween November 2021 and March 2022, we conducted a qualitative study among 22 resource persons representing different stakeholders involved in the implementation of SORMAS in Ghana. We interviewed study participants via telephone using in-depth interview guides developed consistent with the model of diffusion of innovations in health service organizations. We transcribed the interviews verbatim and performed independent validation of transcripts and pseudonymization. We performed deductive coding using 7 a priori categories: innovation, adopting health system, adoption and assimilation, diffusion and dissemination, outer context, institutionalization, and linkages among the aspects of implementation. We used MAXQDA Analytics Pro for transcription, coding, and analysis.

resultsThe facilitators of SORMAS implementation included its coherent design consistent with the Integrated Disease Surveillance and Response system, adaptability to evolving local needs, relative advantages for task performance (eg, real-time reporting, generation of case-base data, improved data quality, mobile offline capability, and integration of laboratory procedures), intrinsic motivation of users, and a smartphone-savvy workforce. Other facilitators were its alignment with health system goals, dedicated national leadership, political endorsement, availability of in-country IT capacities, and financial and technical support from inventors and international development partners. The main barriers were unstable technical interoperability between SORMAS and existing health information systems, reliance on a private IT company for data hosting, unreliable internet connectivity, unstable national power supply, inadequate numbers and poor quality of data collection devices, and substantial dependence on external funding.

conclusionsThe facilitators of and barriers to SORMAS implementation are multiple and interdependent. Important success conditions for implementation include enhanced scope and efficiency of task performance, strong technical and political stewardship, and a self-motivated workforce. Inadequate funding, limited IT infrastructure, and lack of software development expertise are mutually reinforcing barriers to implementation and progress to country ownership. Some barriers are external, relate to the overall national infrastructural development, and are not amenable even to unlimited project funding.

Indexed as

barriersCOVID-19digital disease surveillancefacilitatorsGhanaimplementationmobile phoneoutbreak responsepandemicSORMASSurveillance Outbreak Response Management and Analysis System

Identifiers

PMID37862105
PMCPMC10625076

What OpenQuestion holds

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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.