Displaying publications 81 - 85 of 85 in total

Abstract:
Sort:
  1. Chong CP, March G, Clark A, Gilbert A, Hassali MA, Bahari MB
    Health Policy, 2011 Feb;99(2):139-48.
    PMID: 20732723 DOI: 10.1016/j.healthpol.2010.08.002
    This study evaluated Australian community pharmacists' rate of generic medicine substitution, patient acceptance of generic substitution and cost-savings achieved for patients from substitution.
    Matched MeSH terms: Drug Prescriptions
  2. Dhabali AA, Awang R
    Health Policy Plan, 2010 Mar;25(2):162-9.
    PMID: 19923207 DOI: 10.1093/heapol/czp051
    BACKGROUND: Managed care is one of the means advocated for health care reforms. The Malaysian government has proposed managed care for its citizens. In the Malaysian private health care sector, managed care is practised on a small scale with crude risk adjustment. The main determinant of an individual's health service utilization is their health status (HS). HS is used as a risk adjuster for capitation payment. Prescribed medications represent a useful source for HS estimation. We aimed to develop and validate a medication-based HS estimate and to incorporate it in the Andersen model of health service utilization. This is a preparatory step in studying the feasibility of developing a model for risk assessment in the Malaysian context.
    METHODS: Data were collected retrospectively from an academic year from computerized databases in University Sains Malaysia (USM) about users of USM primary care services. A user is a USM health scheme beneficiary who made at least one visit in the academic year to USM-assigned primary care providers. Socio-demographic variables, enrolment period, medications prescribed and number of visits were also collected. Chronic illness medications and some non-chronic illness medications were used to calculate the Long-Term Therapeutic Groups Index (LTTGI) which is an estimate of the HS of users. Using a random 50% of users, weighted least square methods were used to develop a model that predicts a user's number of visits. The other 50% were used for validation.
    RESULTS: Socio-demographic variables explained 15% of variability in number of primary care visits among users. Adding the LTTGI improved the explanatory power of the model to 36% (P < 0.001). A similar contribution of the LTTGI was noted in the validation.
    CONCLUSIONS: The Long-Term Therapeutic Groups Index was successfully developed. Variability in number of primary care visits can be predicted by LTTGI-based models.
    Matched MeSH terms: Drug Prescriptions*
  3. Khan MU, Arief M, Ahmad A, Malik S, Gogoi LJ, Kalita M, et al.
    Int J Clin Pharm, 2017 Apr;39(2):473-477.
    PMID: 28260131 DOI: 10.1007/s11096-017-0443-5
    Background Shortage of qualified medical doctors and little or no access to basic medicines and medical facilities are the major rural health concerns in India. Expanding the role of pharmacists to provide prescribing services could improve rural health outcomes. Objective To assess the attitudes of rural population towards pharmacist prescribing and their interest in using expanded pharmacist prescribing services. Setting Rural population of Assam, India. Methods A descriptive, cross-sectional survey was conducted for a period of 2 months from March to April 2016 in the State of Assam, India. A multi-stage sampling was used to recruit (n = 410) eligible participants. Main outcome measure Rural population attitudes towards, and interests in using, pharmacist prescribing services. Results The attitudes of participants were generally positive towards pharmacist prescribing. A large proportion of participants (81.5%) agreed that pharmacists should have a prescribing role in rural India. Participants indicated their interest in using expanded pharmacist prescribing services, with greater interests in receiving medications in emergency situations (79.7%) and getting a treatment plan for their medical problem (75.6%). Participants with low income and tertiary education had better attitudes and showed more interest towards expanded pharmacist prescribing services (p 
    Matched MeSH terms: Drug Prescriptions*
  4. Kandasamy G, Sivanandy P, Almaghaslah D, Almanasef M, Vasudevan R, Chinnadhurai M, et al.
    Int J Clin Pract, 2021 Sep;75(9):e14489.
    PMID: 34115424 DOI: 10.1111/ijcp.14489
    BACKGROUND: The substantial and increasing use of medications escalating the risk of harm globally. The serious medication errors in hospital and community settings resulting from patient injury and death. Hence, a cross-sectional study was aimed to analyse the prescribing and dispensing errors in the outpatient departments of a south Indian hospital.

    MATERIALS AND METHODS: A prospective cross-sectional study was carried out to evaluate the prescribing, and dispensing errors in outpatients who seek patient counseling at the tertiary care multispecialty hospital. The data were collected from various sources such as patient's prescriptions and dispensing records from the pharmacy.

    RESULTS: A total of 500 prescriptions were screened and identified 65.60% of prescriptions with at least any one type of medication errors. Out of 328 prescriptions, 96.04% were handwritten and 3.96% were computerised prescriptions. Among the 328 prescriptions with medication errors, 32.62% noticed prescribing errors, 37.80% with dispensing errors, and 29.58% with both prescribing and dispensing errors. Out of these 328 prescriptions, 74.09% prescriptions were found to have polypharmacy.

    DISCUSSION: Medication errors are serious problems in healthcare and can be a source of significant morbidity and mortality in healthcare settings. The present study showed that dispensing errors were the most common among the types of medication errors, in these particularly wrong directions were the most common types of errors.

    CONCLUSION: This study concludes that the overall prevalence of medication errors was around 80%, but there were no life-threatening events observed. A clinical pharmacist can play a major role in this situation appears to be a strong intervention and early detection and prevention of medication errors and thus can improve the quality of care to the patients.

    Matched MeSH terms: Drug Prescriptions*
  5. Wang YY, Xiang YT, Ungvari GS, Ng CH, Chiu HFK, Yim LCL, et al.
    Psychogeriatrics, 2017 Nov;17(6):348-355.
    PMID: 28429844 DOI: 10.1111/psyg.12243
    AIM: This study compared the demographics, clinical characteristics, and antidepressant prescription patterns between Asian patients aged 50 years and older attending psychiatric hospitals and those attending general hospitals.

    METHODS: In total, 955 patients (604 in general hospitals, 351 in psychiatric hospitals) aged 50 years or older treated with antidepressants in 10 Asian countries and territories were examined. Patients' demographics, clinical features, and prescriptions of psychotropic drugs were recorded using a standardized protocol and data collection procedure.

    RESULTS: Binary logistic regression revealed that high income and diagnosis of schizophrenia were independently associated with psychiatric hospital treatment, whereas outpatient care, diagnosis of anxiety disorders, and multiple major medical conditions were independently associated with general hospital treatment. In addition, tetracyclic and noradrenergic and specific serotonergic antidepressants were more likely to be prescribed in general hospitals.

    CONCLUSION: Older adults treated with antidepressants showed different demographic and clinical features between general hospitals and psychiatric hospitals in Asia.

    Study site: multi nation
    Matched MeSH terms: Drug Prescriptions/statistics & numerical data*
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links