Evidence map›Paper›PMID 35721640›Full record

ArticleThe Pan African medical journal2022

An evaluation of the notifiable disease surveillance system in Chegutu District, Zimbabwe, 2020: a cross-sectional study.

Memory Chimsimbe, Pride Mucheto, Emmanuel Govha, Addmore Chadambuka, Mujinga Karakadzai, Tsitsi Patience Juru, Notion Tafara Gombe, Mufuta Tshimanga

Abstract read
In one paragraph

Article in The Pan African medical journal, 2022. 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

8 authors.

Memory ChimsimbeUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.
Pride MuchetoZimbabwe Department of Oral Health, University of Zimbabwe, Harare, Zimbabwe.
Emmanuel GovhaUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.
Addmore ChadambukaUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.
Mujinga KarakadzaiZimbabwe Community Health Intervention Research, Harare, Zimbabwe.
Tsitsi Patience JuruUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.
Notion Tafara GombeUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.
Mufuta TshimangaUniversity of Zimbabwe, Department of Primary Health Care Sciences, Global and Public Health, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: in 2018-2019 Chegutu District had one notification form Tally 1 (T1) that was completed instead of seven for detected notifiable diseases. Different figures of cholera were reported through weekly rapid disease notification system with 106 patients and Notifiable Diseases Surveillance System (NDSS) with 111 patients, causing data discrepancy. We evaluated the NDSS to determine reasons for underperformance and data discrepancy. Methods: we conducted descriptive cross-sectional study using updated centres for disease control and prevention guidelines for surveillance system evaluation. We recruited forty-six health workers. Interviewer-administered questionnaires and checklists were used to collect data on reasons for underperformance, reasons for data discrepancy, knowledge of NDSS, surveillance system attributes and usefulness. Epi InfoTM7 generated frequencies, proportions, and means. Likert scale was used to assess health worker knowledge. Results: of the forty-six health workers, 34 (78%) had fair knowledge of NDSS. The reason for system underperformance was lack of training in NDSS 42 (91%). Data discrepancy was attributed to typographical mistakes made during data entry on WhatsApp platform 32 (70%). Eighty per cent (37) were willing to complete T1 forms. Six participants who were timed took ten minutes to complete T1 forms. Among 17 health facilities, only three had fifteen T1 forms that were adequate to notify first five cases in an outbreak. Notifiable diseases surveillance system data was used for planning health education 28 (68%). Conclusion: the NDSS was unstable due to health workers' inadequate knowledge and unavailability of T1 forms. Notifiable diseases surveillance system was found to be simple, acceptable, and useful. We recommended NDSS training of health workers.

Indexed as

Health Knowledge, Attitudes, PracticeHealth PersonnelCross-Sectional StudiesDisease NotificationHumansZimbabwenotifiable diseaseSurveillancesystem attributeZimbabwe

Identifiers

PMID35721640
PMCPMC9167489

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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.