https://journal.achsm.org.au/index.php/achsm <p>The Asia Pacific Journal of Health Management (APJHM) is a peer-reviewed journal for managers of organisations offering healthcare and aged care services. The APJHM aims to promote the discipline of health management throughout the region by facilitating the transfer of knowledge among readers by widening the evidence base for management practices.<br /><br />*Print 1(1);2006 - 5(1);2010 Online 4(2);2009 - current<br />*ISSN 2204-3136 (online); ISSN 1833-3818 (print)</p> Australasian College of Health Service Management en-US Asia Pacific Journal of Health Management 1833-3818 https://journal.achsm.org.au/index.php/achsm/article/view/6369 <p>This study aims to determine the impact of social well-being on job satisfaction among healthcare personnel working in Community Health Centers in Elazığ Province. Data were collected between October and December 2019, and a total of 345 healthcare professionals were included in the study. The main focus of the study was on the harmony of employees with themselves and their social environment, and the impact of this harmony on job performance. For this purpose, the Minnesota job satisfaction scale, socio-demographic characteristics, and social well-being scale were used. Spearman's Correlation and Simple Linear Regression analyses were used as statistical analyses to analyze the data.</p> <p>According to the study results, a positive but weakly significant relationship was found between social well-being and job satisfaction. Analysis of the differences between the demographic characteristics of healthcare personnel working in Community Health Centers in Elazığ Province and the scale sub-dimensions revealed positive and significant differences in marital status, gender, number of children, and occupation. A weakly significant positive relationship was found between the variables of length of service and age and the scale sub-dimensions. Additionally, all sub-dimensions of social well-being were found to explain 38% of job satisfaction (β=0.348).</p> <p>Consequently, social well-being was found to play a significant role in job satisfaction among healthcare professionals</p> mehtap eter Demirtaş Özgür Copyright (c) 21 1 https://journal.achsm.org.au/index.php/achsm/article/view/6368 <p><strong>Objective: </strong>To determine whether occupational fatigue and recovery identify driving-safety risks relevant to healthcare transport management after accounting for stable Big Five personality traits.</p> <p><strong>Design: </strong>Cross-sectional questionnaire study with single stochastic imputation and adjusted prevalence-ratio modelling.</p> <p><strong>Setting: </strong>Government healthcare transport services in Selangor, Malaysia.</p> <p><strong>Main outcome measures: </strong>Big Five personality, acute fatigue, chronic fatigue, intershift recovery, and self-reported drowsy driving, near-crashes and crashes while driving for work during the preceding 12 months.</p> <p><strong>Results: </strong>Among 260 male drivers, 19.2% reported drowsy driving, 24.2% a near-crash and 12.7% a crash. The complete Big Five profile was not jointly associated with the safety outcomes. After adjustment for age, driver tenure, weekly driving hours, shift work, sleep quality and all five traits, each 10-point higher acute-fatigue score was associated with drowsy driving (adjusted prevalence ratio 1.27, 95% confidence interval 1.10-1.47) and near-crash (1.17, 1.02-1.33). Chronic fatigue was associated with near-crash (1.16, 1.03-1.30). No fatigue domain showed a clear crash association. The acute-fatigue association with drowsy driving remained clear after false-discovery-rate adjustment.</p> <p><strong>Conclusions: </strong>For health service managers, fatigue was more informative than brief personality measurement for identifying leading safety indicators. Healthcare transport governance should use non-punitive drowsiness and near-crash reporting, explicit stop-driving authority, objective review of duty and driving exposure, protected recovery and organisational learning. The findings do not support personality-based driver selection.</p> MOHD FADHLI MOHD FAUZI ROSNAWATI MUHAMAD ROBAT NUR ADIBAH MAT SARUAN SYAKIRAH ROSLAN MOHD FAHMIN KAMARUL ZAMAN HANIZAH MOHD YUSOFF Copyright (c) 21 1