English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

The aim of this research was to study individual attributes and administrative factors that influence Primary Care Units (PCUs) standard evaluation by the chiefs of PCUs in Khon Kaen province, Thailand. A total of 172 respondents was involved utilizing systematic sampling. Researchers employed cross sectional descriptive designed questionnaire as an instrument to collect data. Data collection was implemented after conducting a pilot study and ethical investigation. The methods of analysis employed including percentage, mean, standard deviation, Pearson correlation and Stepwise multiple regression analysis. Quantitative findings indicated that chiefs of PCUs were provided high administrative resource (mean score=3.50), with two extremely high resources namely information technology and time with a mean score of 3.98 and 3.59 respectively. However, the lowest mean score were personnel (man) (mean score=3.25). Findings from in-depth interviews indicated that health personnel, who work in PCUs should be a multidisciplinary team consisted of physician, chief of PCUs public health technical officer, registered nurses, public health officer and a dental public health officer. The PCUs standard evaluation indicated a low positive relationship with income factors at the significant level as 0.001, (r=0.289). In addition, personnel (man), money, materials, information technology and time have a moderate positive relationship with r value as 0.465, 0.569, 0.616, 0.555 and 0.617 respectively. Finally, findings showed that there are four significant predictors that successfully contributed 58.90 percent of the total variance of PCUs standard evaluations. The four predictors are time, materials, information technology and income

The Influence of Administrative Factors on Performing Primary Care Unit Standard Evaluation