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  1. Shamsul Azhar, S., Rohaizat, H., Azimatun Noor, A., Rozita, H., Nazarudin, S., Nirmal, K.
    MyJurnal
    Introduction: The purpose of this study was to determine the prevalence of defaulters of immunization, and their associated risk factors among children age 12 to 24 months. Materials and Methods: A cross-sectional study was conducted in all government's maternal child health clinics in District of Kota Kinabalu, Sabah. Data was collected using a standardised questionnaire from July to November 2006. Results: The prevalence rate for defaulting immunization was 16.8% from the 315 respondents. Bivariable analysis showed various significant factors associated with defaulters such as mother’s employment status, family mobility, transportation and cost. Nonetheless, multivariable analysis showed only mother’s age, mother employment status and family size were the significant predictors for defaulting immunization. Immunization that had the highest rate of defaulters was DPT–OPV booster dose (56.6%), followed by MMR immunization (43.4 %) and
    DPT-Hib/OPV and Hep B third dose (37.7%).Conclusion: Employed mothers with bigger family size should be more closely monitored and advised to reduce the chance of defaulting on the immunization. Health promotion activities also should focus to these groups of mothers.
  2. Nor Hayati, I., Azimatun N.A., Rozita H., Sh Ezat, W.A., Rizal, A.M.
    MyJurnal
    Background : Two of the most common indicators of institutional healthcare quality are Hospital Accreditation Status and Patient Satisfaction. However, the relationship between them is not well understood. In Malaysia, only 20.48% hospitals have been accredited. This is very much less compared to hospitals in America, Europe, Australia and certain Asian countries whereby 90% of their hospitals have already been accredited.
    Objective : The objective of this study was to compare the extent to which a patient’s satisfaction is related to hospital accreditation status, to examine the relationship between patient satisfaction and hospital work load and to determine factors that influence patients’ satisfaction.
    Methodology : A cross-sectional study was conducted whereby 150 patients from each accredited and non-accredited hospital involved in this study group giving a total of 300 samples. `SERVQUAL’ instrument was used in this study. Patients were interviewed at 2 different times - during admission and upon discharge.
    Result : Results showed 34.7% patients were satisfied with services in accredited hospital and 30.6% patients were satisfied with services in non-accredited hospital. `Corporate Culture’ component showed the lowest satisfaction score among the entire dimension in both categories hospitals. Patient satisfaction was noted to be reduced with increase in hospital work load. Other factors which significantly influence patient satisfaction include level of education, employment status and patient income. There was no significant difference in patient satisfaction between accredited and non-accredited hospital in all dimension measured.
    Conclusion : Therefore there is no difference of patients’ satisfaction with regards to services provided by accredited and non-accredited hospitals.
  3. Ahmad Nizal, M.G., Rozita, H., Mazrura, S., Zainudin, M.A., Hidayatulfathi, O., Faridah, M.A, et al.
    MyJurnal
    This study observed the pattern of reported dengue infections, clinical manifestations, and circulating dengue serotypes in Negeri Sembilan, Malaysia. The aim of this study was to determine the co-circulation of the four different dengue virus serotypes in Negeri Sembilan. We analyzed the surveillance data (VEKPRO) from Negeri Sembilan State Health Department and National Public Health Laboratory, Malaysia on reported dengue infections from 1st January 2010 to 31st December 2010. There were 1466 reported dengue infections, 1342 (91.5%) cases were dengue fever (DF) and 124 (8.5%) were dengue hemorrhagic fever (DHF). The mean age was 32.2± 15.8 years old and most were young adults, aged 15 years old and older. Males (p < 0.05), and those residing in Seremban district (p < 0.05) were more likely to get dengue infections. Symptoms presented upon admission were fever (100%), headache (99.9%), myalgia and arthralgia (98.8%), rash(24.2%), petechiae (16.0%),bleeding tendencies (7.0%) and neurological deficits(1.2%). All four dengue serotypes (DEN 1 – 4) were present, the pre-dominant serotype was DEN-3, noted in January, then existed together with DEN-2 until around May. DEN-1 was the most pre-dominant circulating dengue serotype afterwards, reaching a peak in December 2010. Dengue affected all age groups particularly young adults and males. Most cases reported were in urban areas and Seremban district. Most of the dengue infections occurred in the first half of the year, with the DEN-2 and DEN-3 serotypes being the most predominant.
  4. Shamsul, A.S., Mohd Rohaizat, H., Muholan, K., Noor Zaiha, H., Ang, W.C., Sei, F.S., et al.
    MyJurnal
    A cross-sectional study was conducted from December 2009 till May 2010 to determine the quality of life and factors influencing it among physically disabled teenagers. Data were collected from 59 physically disabled teenagers using guided questionnaire Short Form 36 (SF-36) and General Health Questionnaires 12 (GHQ 12). Quality of life among physically disabled teenagers is low for most domains of SF-36 as compared to the general Malaysian population. There was significant difference in quality of life among different races (mental health domain) and among different educational level and type of disability (physical functioning domain). There was no significant association between general health domain and other variables. Higher satisfaction in house, school and recreational environment showed a better quality of life. Higher stress level had a lower quality of life. Lack of disabled friendly environment at home, school and recreational places probably contribute to their quality of life. Schools and public places should have more disabled friendly facilities to improve independency and accessibility. Better education and training will increase their independence and enhance self-confidence. More attention and support at this age is important for them to develop interpersonal skills and character for their future.
  5. Lim TO, Ding LM, Goh BL, Zaki M, Suleiman AB, Maimunah AH, et al.
    Med J Malaysia, 2000 Mar;55(1):90-107.
    PMID: 11072495 MyJurnal
    We describe the distribution of blood pressure (BP) by age, sex and ethnicity in Malaysian adults. A national sample of 21,391 individuals aged 30 or older had usable data. They were selected by stratified 2-stage cluster sampling. BP was measured using an automated oscillometric device, Visomat. Percentile tables and curves by age, sex and ethnicity are presented. The systolic and diastolic BP distribution was right skewed and showed the expected increase with age. This was markedly so in Malay and other indigenous women; as a result they had most severe hypertension.
    Study name: National Health and Morbidity Survey (NHMS-1996)
  6. Lim TO, Ding LM, Zaki M, Suleiman AB, Kew ST, Ismail M, et al.
    Med J Malaysia, 2000 Mar;55(1):78-89.
    PMID: 11072494 MyJurnal
    We describe the distribution of capillary blood total cholesterol (BC) by age, sex and ethnicity in Malaysian adults. A national sample of 20,041 individuals aged 30 or older had usable data. They were selected by stratified 2-stage cluster sampling. BC was measured using reflectance photometer. Percentile tables and curves by age, sex and ethnicity are presented. The BC distribution was right skewed and showed the expected increase with age. There were ethnic differences. Malay had the highest BC concentration, followed by Indian, Chinese and other indigenous ethnic group. However, for all ethnic groups, BC concentrations were low in comparison those prevailing in Western populations.
    Study name: National Health and Morbidity Survey (NHMS-1996)
  7. Lim TO, Ding LM, Zaki M, Merican I, Kew ST, Maimunah AH, et al.
    Med J Malaysia, 2000 Jun;55(2):196-208.
    PMID: 19839148
    We determine the prevalence and determinants of clustering of hypertension, abnormal glucose tolerance, hypercholesterolaemia and overweight in Malaysia. A national probability sample of 17,392 individuals aged 30 years or older had usable data. 61% of adults had at least one risk factor, 27% had 2 or more risk factors. The observed frequency of 4 factors cluster was 6 times greater than that expected by chance. Indian and Malay women were at particular high risk of risk factors clustering. Individuals with a risk factor had 1.5 to 3 times higher prevalence of other risk factors. Ordinal regression analyses show that higher income, urban residence and physical inactivity were independently associated with risk factors clustering, lending support to the hypotheses that risk factors clustering is related to lifestyle changes brought about by modernisation and urbanisation. In conclusion, risk factor clustering is highly prevalent among Malaysian adults. Treatment and prevention programme must emphasise the multiple risk factor approach.
    Study name: National Health and Morbidity Survey (NHMS-1996)
  8. Kamaliah MN, Jaafar S, Ehsan FZ, Safiee I, Ismail F, Mohd Saleh N, et al.
    DOI: 10.1186/1472-6963-9-S1-A7
    Introduction. Malaysian health care is a parallel system with both public and private sectors. The MOH (Ministry of Health) is the main provider of health services in the country, delivering comprehensive medical, health, dental and pharmaceutical services at primary, secondary and tertiary levels of care. The public health services are heavily subsidized by the government. The practice of financial distribution within the Ministry of Health of Malaysia has traditionally been dependent on historical information, i.e., looking at past performance. Any additional increment has been based on arbitrary predictions of the consumer index or inflation. A more appropriate distribution would be based not only on the volume of patients, but also on the morbidity profiles of these populations. Because of the development of the TPC (Tele-Primary Care) electronic system, considerable data is now collected, and there exists a vast potential for data-mining. One potential area of study is to account for the differences in the health status of populations and their anticipated need for healthcare services. An earlier project demonstrated that the TPC dataset provides viable data that can be used for understanding differences in case mix and resource need by various population sub-groups. This was the first step in a multi-stage process to demonstrate the benefits of integrating case mix into the Malaysian healthcare system. As a result of the first project, an increased understanding of the TPC database was gained, which is providing usable data. However, to make full and effective use of TPC, a resource-use measure based on micro-costing information needed to be developed and validated. This project evaluated the plausibility of recently developed cost measures. This new resource-use measure would enable a clearer understanding of the resource consumption based on the morbidity profile of populations across regions, as well as individual clinics.
    Methods. The primary sources of data for this project came from public, primary care clinics using the TPC system; an alternative electronic system; a small group practice of private primary care clinics using a separate electronic system; and the network of a private medical insurance group with nationwide enrollees. The objective of the project was, first, to take the analyses a step further by incorporating new data input streams from private providers, and then to validate that the newly developed micro-costing information was meaningful. In addition, the project sought to assess the ability to link patient information across different providers, re-analyze the results from Phase 1 using the new resource measure, and then develop a program targeted at improving data quality. Lastly, the aim was to compare differences in service delivery patterns between TPC facilities and providers to assess the efficiency of resource use.
    Results. a) The success of the coding-quality training programs to ensure continually improved data quality in TPC over time was demonstrated. The data quality is sufficiently high to create more sophisticated models. Models to identify "high risk" patients or "high cost" patients are already possible.
    b) The ACG system has been proven to work with Malaysian TPC data, and the micro-costing data works for the TPC population and allows us to better understand differences in resource allocation/need. The 2008 Total Visits model is extremely predictive. However, the cost data for health clinics needs to be improved before the Total Cost can be used to predict costs with the same predictive ability as the Total Visit models.
    c) The analyses of the UPIN's (Unique Patient Identification Number) ability to link data to better capture the services being provided from multiple providers show that existing challenges are surmountable. A better understanding of the differences in service delivery in public vs. private sectors is imperative before a national capitation scheme is possible.
    d) The profiling of providers on a regional basis as the initial step to determining the viability of a morbidity-based capitation formula was successful.
    Conclusions. The initial project successfully demonstrated the ability of Malaysia to apply readily available diagnostic and other clinical information to develop state-of-the-art case-mix measures relevant to medical and fiscal management activities using the TPC database. It also offered an example of how risk adjustment tools can be used to monitor the TPC data collection process. The ACG system has been proven to work with Malaysian data, and it works very well for Total Visits where they can now be used to predict Total Visits with a very high certainty. Where the data quality has improved, the predictive modeling has improved in tandem. The data quality is sufficiently high to create more sophisticated models. Models to identify “high risk” patients or “high cost” patients are already possible.
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