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Voices from the grassroots.

V Chongsuvivatwong1, P Nitimanop

  • 1Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.

International Journal of Epidemiology
|December 1, 1991
PubMed
Summary

Health workers found that while time spent on health statistics reporting is high, increased time does not improve cost-effectiveness. Peripheral health workers can contribute to health information research design and performance.

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Public health action·2020

Area of Science:

  • Public Health
  • Health Informatics
  • Health Services Research

Background:

  • Health statistics are crucial for public health decision-making in Thailand.
  • The efficiency and utility of current health reporting forms are not well-established.
  • Peripheral health workers' perspectives on reporting tools are valuable but often overlooked.

Purpose of the Study:

  • To evaluate health worker opinions on the utility and cost-effectiveness of health statistics report forms.
  • To assess the time burden associated with health information compilation.
  • To identify areas for improving the efficiency of health reporting systems.

Main Methods:

  • A consortium of health workers designed and tested questionnaires.
  • Surveys were distributed to 787 randomly selected health centers and rural hospitals in Thailand.
  • Utility scores and time spent on 37 different report forms were analyzed.

Main Results:

  • Utility scores correlated positively with time spent on reporting (Rp = 0.058, P = 0.002).
  • However, the utility/time ratio showed a significant negative correlation with time spent (Rp = -0.63, P < 0.0001).
  • Reports requested occasionally by administrators had the lowest utility/time ratio, indicating poor cost-effectiveness.

Conclusions:

  • Peripheral health workers are capable of contributing to the design and execution of health information research.
  • High time investment in health information reporting does not necessarily translate to increased cost-effectiveness.
  • Optimizing reporting processes is essential to improve the efficiency of health statistics systems.

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