Evidence map›Paper›PMID 38549108›Full record

ArticleBMC health services research2024

Improving acute myocardial infarction care in northern Tanzania: barrier identification and implementation strategy mapping.

Julian T Hertz, Francis M Sakita, Sainikitha Prattipati, Lauren Coaxum, Tumsifu G Tarimo, Godfrey L Kweka, Jerome J Mlangi, Kristen Stark, Nathan M Thielman, Hayden B Bosworth and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  7. Acute coronary syndrome prevalence and outcomes in a Tanzanian emergency department: Results from a prospective surveillance study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2025
    Article
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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

11 authors.

Julian T HertzDuke Global Health Institute, Duke University School of Medicine, Durham, NC, USA. julian.hertz@duke.edu.
Francis M SakitaDepartment of Emergency Medicine, Kilimanjaro Christian Medical Center, Moshi, Tanzania.
Sainikitha PrattipatiDuke Global Health Institute, Duke University School of Medicine, Durham, NC, USA.
Lauren CoaxumDepartment of Emergency Medicine, Duke University School of Medicine, Durham, NC, USA.
Tumsifu G TarimoKilimanjaro Christian Research Institute, Moshi, Tanzania.
Godfrey L KwekaKilimanjaro Christian Research Institute, Moshi, Tanzania.
Jerome J MlangiKilimanjaro Christian Research Institute, Moshi, Tanzania.
Kristen StarkDuke Global Health Institute, Duke University School of Medicine, Durham, NC, USA.
Nathan M ThielmanDuke Global Health Institute, Duke University School of Medicine, Durham, NC, USA.
Hayden B BosworthDepartment of Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Janet P BettgerDuke Global Health Institute, Duke University School of Medicine, Durham, NC, USA.

Funding

Developing an intervention to improve quality of myocardial infarction care in northern TanzaniaK23HL155500 · NHLBI · DUKE UNIVERSITY · PI HERTZ, JULIAN T · 2021 to 2025
$837k
NHLBI NIH HHS K23 HL155500NHLBI NIH HHS K23-HL155500
6 · The paper itself

Abstract

backgroundEvidence-based care for acute myocardial infarction (AMI) reduces morbidity and mortality. Prior studies in Tanzania identified substantial gaps in the uptake of evidence-based AMI care. Implementation science has been used to improve uptake of evidence-based AMI care in high-income settings, but interventions to improve quality of AMI care have not been studied in sub-Saharan Africa.

methodsPurposive sampling was used to recruit participants from key stakeholder groups (patients, providers, and healthcare administrators) in northern Tanzania. Semi-structured in-depth interviews were conducted using a guide informed by the Consolidated Framework for Implementation Research (CFIR). Interview transcripts were coded to identify barriers to AMI care, using the 39 CFIR constructs. Barriers relevant to emergency department (ED) AMI care were retained, and the Expert Recommendations for Implementing Change (ERIC) tool was used to match barriers with Level 1 recommendations for targeted implementation strategies.

resultsThirty key stakeholders, including 10 patients, 10 providers, and 10 healthcare administrators were enrolled. Thematic analysis identified 11 barriers to ED-based AMI care: complexity of AMI care, cost of high-quality AMI care, local hospital culture, insufficient diagnostic and therapeutic resources, inadequate provider training, limited patient knowledge of AMI, need for formal implementation leaders, need for dedicated champions, failure to provide high-quality care, poor provider-patient communication, and inefficient ED systems. Seven of these barriers had 5 strong ERIC recommendations: access new funding, identify and prepare champions, conduct educational meetings, develop educational materials, and distribute educational materials.

conclusionsMultiple barriers across several domains limit the uptake of evidence-based AMI care in northern Tanzania. The CFIR-ERIC mapping approach identified several targeted implementation strategies for addressing these barriers. A multi-component intervention is planned to improve uptake of evidence-based AMI care in Tanzania.

Indexed as

Delivery of Health CareMyocardial InfarctionHumansImplementation ScienceQuality of Health CareTanzaniaAcute myocardial infarctionCFIR-ERICStrategy mappingTanzania

Identifiers

PMID38549108
PMCPMC10979618

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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.