MATERIALS AND METHODS: Public Health Clinic Patient Satisfaction Questionnaire (PHC-PSQ) towards pharmacy services was developed using exploratory factor analysis and Cronbach's α. A cross-sectional study was conducted among 400 patients visiting the pharmacy in three randomly selected public health clinics recruited via systematic random sampling. Data was collected using a set of questionnaire including PHC-PSQ. Factors associated with patient satisfaction was analysed using multiple linear regression.
RESULTS: Final PHC-PSQ consisted of three domains (administrative competency, technical competency and convenience of location) and 22 items with 69.9% total variance explained. Cronbach's α for total items was 0.96. Total mean score for patient satisfaction was 7.56 (SD 1.32). Older age and higher education were associated with lower patient satisfaction mean score. Patients who had visited the pharmacy more than once in the past three months, perceived to be in better health status and had a more correct general knowledge of pharmacists expressed higher patient satisfaction mean score.
CONCLUSIONS: PHC-PSQ is a newly developedtool to measure patient satisfaction towards pharmacy services in public health clinics in Malaysia. Patient satisfaction was relatively high. Age, education, frequency of visit, self-perceived health status and general knowledge of pharmacists were factors significantly associated with patient satisfaction.
METHODS: This cross-sectional study analysed secondary data obtained from the health clinics in Sabah, Malaysia from January to August 2016. The Pearson Chi-square test was used to analyse the relationships between malaria infection and socio-demographic characteristics. Multivariable logistic regression was performed in order to determine the risk factors for malaria in Sabah.
RESULTS: Out of 1222 patients, 410 (33.6%) had a laboratory-confirmed malaria infection. Infection by Plasmodium knowlesi accounted for the majority of malaria reports in Sabah (n=340, 82.9%). Multivariable analysis indicated that males (prevalence odds ratio 0.023, 95% confidence interval 0.012-0.047) and those living in a rural area (prevalence odds ratio 0.004, 95% confidence interval 0.002-0.009) were at higher risk 24.0-95.9) and those living in a rural area (adjusted odds ratio 212.6, 95% confidence interval 105.8-427.2) were at higher risk of acquiring a malaria infection.
CONCLUSIONS: Malaria infections in Sabah, Malaysia are common, with P. knowlesi being the most common malaria parasite. The infection was associated with several socio-demographic and geographical factors. Thus, mitigation measures should be considered to address modifiable risk factors for malaria infection.