Evidence map›Paper›PMID 41343577›Full record

ArticlePLOS global public health2025

Challenges of data quality for the management of prostate cancer in Tanzania: A hurdle towards improving the quality of service.

Obadia Nyongole, Castory Munishi, Njiku Kimu, Raphael Z Sangeda, Mark Mseti, Emmanuel Lugina, Frank Kiwara, Nathanael Sirili, Frank Chacha, Bartholomeo Nicholaus and 4 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Obadia NyongoleDepartment of Surgery, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-9807-1960
Castory MunishiDepartment of Pharmaceutics and Pharmacy Practice, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Njiku KimuDepartment of Urology, Muhimbili National Hospital, Dar es Salaam, Tanzania.
Raphael Z SangedaDepartment of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-6574-5308
Mark MsetiOcean Road Cancer Institute, Dar es Salaam, Tanzania.
Emmanuel LuginaOcean Road Cancer Institute, Dar es Salaam, Tanzania.
Frank KiwaraDepartment of Urology, Mbeya Zonal Referral Hospital, Mbeya, Tanzania.ORCID https://orcid.org/0009-0000-0854-1563
Nathanael SiriliDepartment of Development Studies, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Frank ChachaDepartment of Urology, Bugando Medical Center, Mwanza, Tanzania.
Bartholomeo NicholausDepartment of Urology, Kilimanjaro Christian Medical Center, Moshi, Tanzania.
Gasto FrumenceDepartment of Development Studies, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Daudi SimbaDepartment of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
David UrassaDepartment of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Bruno SunguyaDepartment of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data quality in clinical notes is crucial for providing quality prostate cancer services, especially in countries with weak health systems and a growing burden of non-communicable diseases like prostate cancer. Poor data quality can lead to inefficient services, delayed treatment, and compromised patient outcomes. The objective of this study was to examine the quality of clinical notes for prostate cancer patients treated at five tertiary hospitals in Tanzania from January to December 2022. A sequential mixed-method approach was employed, combining quantitative and qualitative data collection. Patients' level information from electronic and manual clinical notes were extracted and reviewed. In-depth interviews were conducted among 25 healthcare providers to explore data quality challenges in clinical notes. Quantitative data analysis used descriptive analysis via SPSS 27 software to determine data completeness and accuracy. In-depth interviews were conducted among 25 healthcare providers to explore data quality challenges. Qualitative data analysis utilized thematic analysis with hybrid inductive and deductive reasoning via NVivo 14 software. Clinical notes for prostate cancer management had poor quality. While the overall accuracy of documented variables was high at 1,494 (99.4%), documentation of key clinical variables was low; specifically, the clinical stage was documented in only 1,052 (70.0%) clinical notes, and the Gleason score in 923 (61.4%). Age, clinical presentation, and type of treatment showed high completeness. Themes established included lack of knowledge on data quality, poor integration of data, shortage of human resources for health, lack of supervision and the coexistence of electronic and manual record systems. The Health Information Management System and hospital-based cancer registries were not integrated. Documentation rates for clinical stage and Gleason score in the clinical notes of patients with prostate cancer were low in Tanzania. Improving the quality of clinical notes requires collaborative efforts among stakeholders focusing on structural reforms and capacity building of personnel.

Identifiers

PMID41343577
PMCPMC12677768

What Socratic holds

Textmetadata
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 Socratic graph.