Evidence map›Paper›PMID 39580423›Full record

ArticleBMC primary care2024

Evaluation of diabetes care services, data quality, and availability of resources in Ethiopia: Difference-in-differences analysis of the NORAD-WHO NCDs' midterm project evaluation.

Yimer Seid Yimer, Meaza Gezu Shentema, Zenawi Hagos Gufue, Awgichew Kifle Zemelak, Zeytu Gashaw Asfaw, Sefonias Getachew, Mulugeta Tamire, Kalkidan Solomon, Asmamaw Bezabeh Workneh, Girma Taye Aweke

Abstract read
In one paragraph

Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Yimer Seid YimerDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia. yimer0505@gmail.com.ORCID 0000-0001-7824-4361
Meaza Gezu ShentemaDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Zenawi Hagos GufueDepartment of Public Health, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia.
Awgichew Kifle ZemelakDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Zeytu Gashaw AsfawDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Sefonias GetachewDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Mulugeta TamireDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Kalkidan SolomonDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Asmamaw Bezabeh WorknehWorld Health Organization, Addis Ababa, Ethiopia.
Girma Taye AwekeDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

World Health Organization 001World Health Organization, Ethiopia NA
6 · The paper itself

Abstract

backgroundThe Ethiopian government, supported by NORAD, the WHO, and other partners, is decentralizing diabetes care to primary health units via a task-shifting approach. Despite substantial investment, there is still a lack of up-to-date information on diabetes screening, diagnosis, treatment, and medication availability in the country.

objectiveThis study assessed the effects of the NORAD-WHO intervention on diabetes care services, data quality, and the availability of infrastructure and medical supplies in Ethiopia.

methodsA quasiexperimental study was conducted across 31 NORAD-WHO project facilities and 62 control facilities in six regions of Ethiopia and Addis Ababa. We used descriptive statistics to assess diabetes screening, diagnosis, treatment services, medication availability, and data quality over 54 months from January 2019 to June 2023. Additionally, we performed a difference-in-differences (DID) regression analysis comparing data from two periods: before the intervention (January to December 2019) and after the intervention (July 2022 to June 2023).

resultsThis study revealed a notable increase in diabetes services, with over 82% of facilities offering screening, early diagnosis, and treatment. Written treatment guidelines are present in three quarters of the facilities. The proportion of trained staff increased from 58% in 2019 to 100% in 2023 across all the evaluated facilities. Intervention facilities had significantly more functional glucometers than did control facilities, averaging four (95% CI: 3.4, 4.6) per month in 2023 compared with 2.5 (95% CI: 2.1, 2.9) in 2019. However, hemoglobin A1C testing remains uncommon. Despite improvements in diabetes service data, issues with missing records, overreporting, and timeliness persist, with an average reporting rate of 99.2% and on-time reporting rate of 51.5%. The NORAD-WHO intervention notably increased the average number of fasting blood sugar tests by 17 per month (95% CI: 12.2-21.8, p = 0.014).

conclusionsThis midterm evaluation revealed a significant increase in the availability of fasting blood sugar tests in the intervention facilities. Additionally, the availability of medical equipment, laboratory services, and medications has improved over the years. Intervention facilities, with more trained healthcare professionals and better resources, outperform control facilities in screening, diagnosing, treating, and managing high blood sugar levels. Notably, intervention facilities screened more clients for diabetes and showed that patients receiving follow-up care achieved better glycemic control than did those at control facilities. While there has been progress in diabetes service data availability, addressing issues such as missing data, overreporting, and reporting timeliness is essential for further improving the quality of diabetes services. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Diabetes MellitusData AccuracyEthiopiaHealth Services AccessibilityHumansMass ScreeningWorld Health OrganizationAvailability of medical supplies for diabetes careDiabetes screeningDiagnosis and treatment servicesDifference-in-differences analysisNORA-WHO NCDs midterm project evaluation

Identifiers

PMID39580423
PMCPMC11585247

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.