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Background <p>Healthcare 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 &amp; 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.</p> Methods <p>A 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.</p> Results <p>The 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, <i>p</i> &lt; .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, <i>p</i> &lt; .01).</p> Conclusion <p>Emotional 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月24日

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  • Rogate Phinias,
  • Joshua Malago,
  • Mikidadi Muhanga

摘要

Background

Healthcare 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.

Methods

A 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.

Results

The 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).

Conclusion

Emotional 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.