Evidence map›Paper›PMID 42032774›Full record

ArticleBMC psychology2026

The relationship between self-awareness skills of healthcare workers and healthcare data quality: a cross-sectional study in Tanzanian regional referral hospitals.

Rogate Phinias, Joshua Malago, Mikidadi Muhanga

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rogate PhiniasDepartment of Policy Planning and Management, College of Social Sciences and Humanities, Sokoine University of Agriculture, P.O. Box 3035, Morogoro, Tanzania. rophinias@mzumbe.ac.tz.
Joshua MalagoDepartment of Veterinary Anatomy and Pathology, College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, P.O. Box 3203, Morogoro, Tanzania.
Mikidadi MuhangaDepartment of Development and Strategic Studies, College of Social Sciences and Humanities, Sokoine University of Agriculture, P.O. Box 3024, Morogoro, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare workers' self-awareness skills have been shown to reduce burnout, stress, and turnover, while enhancing job satisfaction and engagement. By fostering metacognitive monitoring and error detection, self-awareness skills also underpin careful and reflective task performance. Yet its role in ensuring high-quality healthcare data, accuracy, completeness, timeliness, and consistency remains unexplored, especially within Monitoring & Evaluation systems. This study examines how core self-awareness skills (emotional awareness, accurate self-assessment, and self-confidence) influence data-management behaviors and outcomes among healthcare staff.

methodsA cross-sectional study was conducted across eight regional referral hospitals in Tanzania, involving 336 healthcare workers selected through multi-stage sampling. The study assessed three key self-awareness skills: emotional awareness, accurate self-assessment, and self-confidence and their relationship with four dimensions of healthcare data quality: accuracy (Regression A), completeness (Regression B), timeliness (Regression C), consistency (Regression D), and overall data quality (Regression E). Data were collected using self-administered questionnaires and analyzed using both descriptive and inferential statistics in SPSS version 27.

resultsThe analysis showed that our regressions explained between 38.7% and 59.4% of the variance in data-quality dimensions, indicating moderate predictive accuracy (Regression E: R² = 0.594) but also leaving a substantial proportion of variance unexplained. Emotional awareness had a significant positive relationship with all five data-quality outcomes (β = 0.536 to 0.765, p < .001). In contrast, accurate self-assessment showed limited influence, significantly related to only the timeliness (regression C). Self-confidence had a significant negative relationship with all five data-quality outcomes (β = -0.168 to -0.308, p < .01).

conclusionEmotional awareness was positively associated with healthcare data quality, while higher self-confidence was associated with lower data-quality scores; given the cross-sectional design, these associations warrant testing in longitudinal or experimental studies.

Indexed as

AwarenessData AccuracyHealth PersonnelSelf-AssessmentSelf ConceptAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedTanzaniaAccurate self-assessmentData quality in healthcareEmotional awarenessHealthcare M&E systemsSelf-awarenessSelf-confidence

Identifiers

PMID42032774
PMCPMC13244934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.