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  1. Jamaiyah Haniff, Tahir Aris, Farizah Hairi
    MyJurnal
    Injury Hncluding home injury} is an important contributor to the nations’ statistics on mortality and morbidity. However, statistics on injury is still lacking in Malaysia. In 1996, the National Health and Morbidity Survey was conducted nationwide that includes injury as one ofthe scope studied at the community level. It was found that the prevalence of sefreported home injury in Malaysia was 2.5%. The prevalence was higher among the 0-4 years and more than 80 years groups. There was no dwzrence in the prevalence of injury by urban/rural location, ethnicity, citizenship, religion, marital status, level of education, income group or type of occupation. Females however reported a slightht higher figure than males (2. 7% i· 95% CI and 2.3% i 95% CD. Recommendations made include planning and designing of preventive intervention strategies and sreas for future studies.
    Study name: National Health and Morbidity Survey (NHMS-1996)
  2. Nora 'i Mohd Said., Hamzah Abdul Ghani, Farizah Hairi
    MyJurnal
    The objective of this study was to find out whether integration of Information and Communication Technology (ICT) in a Primary Health Care Clinic improves client’s waiting time. This was a descriptive study based on a total of 588 clients, i.e. 291 clients from an ICT integrated primary health care clinic, which was Putrajaya Health Clinic and 297 clients from a manual health clinic, which was Salak Health Clinic, from 5th December 2000 until 10th January 2001. Clients attending both clinics during this study period were systematically random sampled. Information was obtained from structured questionnaires. Data were analysed with Statistical Package for Social Sciences (SPSS) version 10.0. Selected quantitative time variables, their mean and standard deviation were calculated. Integration of ICT in a primary health care clinic did not improve client’s waiting time. It was demonstrated by this study that the integration of ICT in Putrajaya Health Clinic led to significantly longer average waiting time (39.76 minutes) and longer average total time spend in the clinic (57.14 minutes) as compared to a manual clinic, Salak Health Clinic where its average waiting time was only 23.13 minutes and average total time spend in the clinic was 39.15 minutes. Based on the findings, it is possible that integration of ICT in a primary health care clinic could not play as a significant factor for improving or reducing client’s waiting time in Putrajaya Health Clinic yet, at least not for the time being. This is the first study to document waiting times specifically in our first ICT integrated primary health care clinic. Since it was found that integration of ICT in a primary health care clinic had made client’s waiting time significantly longer than the waiting time in a manual clinic, it could be interesting for future research to look into client’s satisfaction in an ICT environment clinic.
    Key words: ICT, client satisfaction, primary care
  3. Shima R, Farizah H, Majid HA
    Singapore Med J, 2015 Aug;56(8):460-7.
    PMID: 25902719 DOI: 10.11622/smedj.2015069
    INTRODUCTION: The aim of this study was to assess the reliability and validity of a modified Malaysian version of the Medication Adherence Reasons Scale (MAR-Scale).

    METHODS: In this cross-sectional study, the 15-item MAR-Scale was administered to 665 patients with hypertension who attended one of the four government primary healthcare clinics in the Hulu Langat and Klang districts of Selangor, Malaysia, between early December 2012 and end-March 2013. The construct validity was examined in two phases. Phase I consisted of translation of the MAR-Scale from English to Malay, a content validity check by an expert panel, a face validity check via a small preliminary test among patients with hypertension, and exploratory factor analysis (EFA). Phase II involved internal consistency reliability calculations and confirmatory factor analysis (CFA).

    RESULTS: EFA verified five existing factors that were previously identified (i.e. issues with medication management, multiple medications, belief in medication, medication availability, and the patient's forgetfulness and convenience), while CFA extracted four factors (medication availability issues were not extracted). The final modified MAR-Scale model, which had 11 items and a four-factor structure, provided good evidence of convergent and discriminant validities. Cronbach's alpha coefficient was > 0.7, indicating good internal consistency of the items in the construct. The results suggest that the modified MAR-Scale has good internal consistencies and construct validity.

    CONCLUSION: The validated modified MAR-Scale (Malaysian version) was found to be suitable for use among patients with hypertension receiving treatment in primary healthcare settings. However, the comprehensive measurement of other factors that can also lead to non-adherence requires further exploration.

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