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  1. Fulltext Prevalence and levels of burnout among nurses in Hospital Raja Perempuan Zainab II Kota Bharu, Kelantan
    Mustaffa Z, Chan SG
    The Malaysian Journal of Nursing, 2015;7(1):7-11.
    MyJurnal
    The main objective of this study is to evaluate the nurses' level of burnout and identify the factors that influence it. Burnout, one such stress-related outcome, has been conceptualised as a multidimensional construct consisting of emotional exhaustion, depersonalisation and reduced personal accomplishment. Items adapted and translated from Maslach Burnout Inventory were used to collect data from 60 respondents. Among the respondents, 5.0% showed a high level of Emotional Exhaustion while 95.0% were at the moderate and mild level. Respondents with a high level of Depersonalization constitute 3.3% while 96.7% were at a moderate and mild level. Analysis show that 48.2% are at the high and moderate level for Personal Accomplishment while 51.7% is still at the lower level. Mean score for Personal Accomplishment 33.53 as oppose to Emotional Exhaustion 15.90 and Depersonalization 3.60 indicate a low level of burnout characteristic among the staff nurses. Correlation analysis suggest a significant but moderate relationship between Emotional Exhaustion and Depersonalization r = 0.62, p<0.05. A conducive working environment was suggested as a way of improving quality of health care and to hinder burnout. Keywords: Retirement, Readiness, Financial Capacity, Social Support, Preoccupation
  2. Fulltext Repeated time-series cross-validation: A new method to improved COVID-19 forecast accuracy in Malaysia
    Abdul Aziz A, Yusoff M, Yaacob WFW, Mustaffa Z
    MethodsX, 2024 Dec;13:103013.
    PMID: 39559463 DOI: 10.1016/j.mex.2024.103013
    Forecasting COVID-19 cases is challenging, and inaccurate forecast values will lead to poor decision-making by the authorities. Conversely, accurate forecasts aid Malaysian government authorities and agencies (National Security Council, Ministry of Health, Ministry of Finance, Ministry of Education, and Ministry of International Trade and Industry) and financial institutions in formulating action plans, regulations, and legal acts to control COVID-19 spread in the country. Therefore, this study proposes Repeated Time-Series Cross-Validation, a new data-splitting strategy to identify the best forecasting model that is capable of producing the lowest error measures value and a high percentage of forecast accuracy for COVID-19 prediction in Malaysia. Some of the highlights of the proposed method are:•A total of 21 models, five data partitioning sets, and four error measures to improve the forecast accuracy of daily COVID-19 cases in Malaysia.•The best model selected produces the lowest error measure value for the Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Absolute Scaled Error (MASE).•The average 8-day forecast accuracy is 90.2 %. The lowest and highest forecast accuracy was 83.7 % and 98.7 %.
  3. Fulltext Protocol for a systematic review of the associations between inflammatory markers and lung function, muscle force and exercise capacity in people with COPD
    Noor NM, Mustaffa Z, Nizam A, Mohd Zim MA, Ng LWC, Mirza FT
    BMJ Open, 2023 Jul 18;13(7):e068776.
    PMID: 37463801 DOI: 10.1136/bmjopen-2022-068776
    INTRODUCTION: The prevalence of chronic obstructive pulmonary disease (COPD) has been on the rise, with acute exacerbation of COPD associated with the highest burden and multiple pulmonary and systemic consequences. People with COPD have been found to have an abnormal response of systemic inflammation. To date, although limited, there are studies that suggest negative associations between inflammatory markers and important clinical outcomes such as exercise capacity and muscle force. This protocol aims to systematically review the evidence for (i) the associations between inflammatory markers and lung function, muscle force and exercise capacity and (ii) the influence of other factors (eg, hospitalisation, exercise programme) on the level of inflammatory markers in people with COPD.

    METHODS AND ANALYSIS: Scopus, PubMed, Cochrane, Web of Science and ProQuest will be searched from database inception to February 2023 using PEO search strategy (Population: adults with COPD; Exposure: inflammatory markers; Outcomes: lung function, muscle force and exercise capacity). Four reviewers working in pairs will independently screen articles for eligibility and extract data that fulfilled the inclusion criteria. Depending on the design of the included studies, either Cochrane risk-of-bias version 2 or the Newcastle-Ottawa Scale tools will be used to rate the methodological quality of the included studies. Effect sizes reported in each individual study will be standardised to Cohen's d and a random effects model will be used to calculate the pooled effect size for the association.

    ETHICS AND DISSEMINATION: Ethical approval is unnecessary as this study will only use publicly available data. The findings will be disseminated through publication in peer-reviewed journals and conferences.

    PROSPERO REGISTRATION NUMBER: CRD42022284446.

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