Displaying all 7 publications

Abstract:
Sort:
  1. Soyiri IN, Reidpath DD, Sarran C
    Chron Respir Dis, 2013 May;10(2):85-94.
    PMID: 23620439 DOI: 10.1177/1479972313482847
    Health forecasting can improve health service provision and individual patient outcomes. Environmental factors are known to impact chronic respiratory conditions such as asthma, but little is known about the extent to which these factors can be used for forecasting. Using weather, air quality and hospital asthma admissions, in London (2005-2006), two related negative binomial models were developed and compared with a naive seasonal model. In the first approach, predictive forecasting models were fitted with 7-day averages of each potential predictor, and then a subsequent multivariable model is constructed. In the second strategy, an exhaustive search of the best fitting models between possible combinations of lags (0-14 days) of all the environmental effects on asthma admission was conducted. Three models were considered: a base model (seasonal effects), contrasted with a 7-day average model and a selected lags model (weather and air quality effects). Season is the best predictor of asthma admissions. The 7-day average and seasonal models were trivial to implement. The selected lags model was computationally intensive, but of no real value over much more easily implemented models. Seasonal factors can predict daily hospital asthma admissions in London, and there is a little evidence that additional weather and air quality information would add to forecast accuracy.
    Matched MeSH terms: Hospitalization/trends*
  2. Ng TP, Niti M
    Heart, 2003 Aug;89(8):865-70.
    PMID: 12860859
    To describe trends in hospital admissions and mortality from congestive heart failure in the elderly population aged 65 years and over in Singapore, 1991 to 1998.
    Matched MeSH terms: Hospitalization/trends*
  3. Lu HT, Nordin RB
    PMID: 24195639 DOI: 10.1186/1471-2261-13-97
    The National Cardiovascular Disease (NCVD) Database Registry represents one of the first prospective, multi-center registries to treat and prevent coronary artery disease (CAD) in Malaysia. Since ethnicity is an important consideration in the occurrence of acute coronary syndrome (ACS) globally, therefore, we aimed to identify the role of ethnicity in the occurrence of ACS among high-risk groups in the Malaysian population.
    Matched MeSH terms: Hospitalization/trends*
  4. Al Aqqad SMH, Tangiisuran B, Hyder Ali IA, Md Kassim RMN, Wong JL, Tengku Saifudin TI
    Clin Respir J, 2017 Nov;11(6):960-967.
    PMID: 26763195 DOI: 10.1111/crj.12448
    INTRODUCTION: The elderly, with chronic obstructive pulmonary disease (COPD), are at a higher risk of hospitalisation due to acute exacerbation of COPD (AECOPD). They also often encounter multiple co-morbidities.

    OBJECTIVES: This study was aimed to explore the occurrence of anxiety, depression and to identify the factors associated with hospital readmission among older patients after AECOPD discharge.

    METHODS: A multicentre prospective study was conducted in Malaysia (from 1st September 2012 till 31st September 2013) among older patients (≥60 years) hospitalised for AECOPD. Anxiety and depression were assessed on discharge using previously validated questionnaires, Generalized Anxiety Disorder-7 (GAD-7 and Geriatric Depression Scale (GDS-15), respectively. Patients were followed up for a period of 3 months after discharge.

    RESULTS: A total of 81 patients with a median age of 72 years (IQR 66.40-78.00) were recruited. Anxiety was observed in 34.57% while 38.27% had depression. Both anxiety and depression were detected in 25.93% of the patients. A history of frequent AECOPD admissions was found to be associated with developing depressive symptoms, while anxiety scores were associated with severe dyspnoea. Severe depression was more commonly identified among patients aged 60-75 and in those with a history of tuberculosis. A high readmission rate (40.74%) during the 3-month period was noticed. History of frequent AECOPD admissions (OR = 2.87; 95% CI 1.05-7.85, P = 0.040) and ischemic heart disease (IHD) (OR = 4.04; 95% CI 1.1-14.6, P = 0.032) were identified as the factors associated with the risk of hospital readmission.

    CONCLUSIONS: Anxiety and depression were found to be relatively common among older patients with AECOPD. IHD and history of frequent COPD hospitalisation were associated with short-term readmission among the elderly.

    Matched MeSH terms: Hospitalization/trends
  5. Niti M, Ng TP
    J Epidemiol Community Health, 2003 Jan;57(1):17-22.
    PMID: 12490643
    STUDY OBJECTIVES: To assess avoidable hospitalisation as an indicator of quality of primary care by examining trends and gender and ethnic variations.
    DESIGN AND SETTING: Aggregated nationwide data in Singapore from 1991 to1998 were analysed for hospitalisations for chronic diseases that are avoidable by timely, appropriate, and effective primary care: asthma, congestive heart failure, chronic obstructive pulmonary disease, diabetes mellitus, and hypertension (avoidable hospitalisations).
    MAIN RESULTS: Of a total of 1 479 494 hospitalisations, 6.7% were for ambulatory care sensitive conditions (ACSC). The annual rate of avoidable hospitalisation was 29.4 per 10 000 population. Women had lower rates of avoidable hospitalisations than men (22.4 versus 29.5 per 10 000), as well as for total hospitalisations (496.2 versus 515.5 per 10 000). Adjusted for total hospitalisation, men were 1.3 times more likely than women to be hospitalised for ACSC. With similar adjustments for baseline utilisation, Indian and Malays had 1.7 and 1.8 times higher rates of avoidable hospitalisations than Chinese. Avoidable hospitalisation decline was -9.1% overall; greater in men (-11.8%) than in women (-5.3%); greater for Chinese (-15.8%), than Malays (-1.1%) and Indians (increase of +4.3%).
    CONCLUSION: Gender and ethnic differences and declining trends in avoidable hospitalisation demonstrated in this study suggest that avoidable hospitalisation rates are a sensitive indicator for assessing quality of primary ambulatory care.
    Matched MeSH terms: Hospitalization/trends
  6. Kuan WS, Craig S, Kelly AM, Keijzers G, Klim S, Graham CA, et al.
    Clin Respir J, 2018 Jun;12(6):2117-2125.
    PMID: 29469993 DOI: 10.1111/crj.12782
    INTRODUCTION: Shortness of breath is a common presenting symptom to the emergency department (ED) that can arise from a myriad of possible diagnoses. Asthma is one of the major causes.

    OBJECTIVE: The aim of this study was to describe the demographic features, clinical characteristics, management and outcomes of adults with an ED diagnosis of asthma who presented to an ED in the Asia Pacific region with a principal symptom of dyspnea.

    METHODS: Planned sub-study of patients with an ED diagnosis of asthma identified in the Asia, Australia and New Zealand Dyspnoea in Emergency Departments (AANZDEM) study. AANZDEM was a prospective cohort study conducted in 46 EDs in Australia, New Zealand, Singapore, Hong Kong and Malaysia over three 72 hour periods in May, August and October 2014. Primary outcomes were patient epidemiology, clinical features, treatment and outcomes (hospital length of stay (LOS) and mortality).

    RESULTS: Of the 3044 patients with dyspnea, 387 (12.7%) patients had an ED diagnosis of asthma. The median age was 45 years, 60.1% were female, 16.1% were active or recent smokers and 30.4% arrived by ambulance. Inhaled bronchodilator therapy was initiated in 88.1% of patients, and 66.9% received both inhaled bronchodilators and systemic corticosteroids. After treatment in the ED, 65.4% were discharged. No death was reported.

    CONCLUSION: Asthma is common among patients presenting with a principal symptom of dyspnea in the ED of the Asia Pacific region. There was a suboptimal adherence to international guidelines on investigations and treatments of acute asthma exacerbations presenting an opportunity to improve the efficiency of care.

    Matched MeSH terms: Hospitalization/trends
  7. Saheb Sharif-Askari N, Syed Sulaiman SA, Saheb Sharif-Askari F, Hussain AA
    Int J Clin Pharm, 2015 Feb;37(1):105-12.
    PMID: 25488317 DOI: 10.1007/s11096-014-0046-3
    BACKGROUND: Little is known about the adverse drug reaction (ADR) related admissions among heart failure (HF) patients.

    OBJECTIVE: The aim of this study was to determine the rate, factors, and medications associated with ADR-related hospitalisations among HF patients.

    SETTING: Two government hospitals in Dubai, United Arab Emirates.

    METHODS: This was a prospective, observational study. Consecutive adult HF patients who were admitted between December 2011 and November 2012 to the cardiology units were included in this study. The circumstances of their admission were analysed.

    MAIN OUTCOME MEASURES: ADRs-related admissions of HF patients to cardiology units were identified and further assessed for their nature, causality, and preventability.

    RESULTS: Of 511 admissions, 34 were due to ADR-related hospitalisation (6.65, 95 % confidence interval 4.8-8.5 %). Number of medications taken by HF patients was the only predictors of ADR-related hospitalisations, where higher number of medications was associated with the odd ratio of 1.11 (95 % CI, 1.03-1.20, P = 0.005). More than one-third of ADR-related hospitalisations (35 %) were preventable The most frequent drugs causing ADR-related hospitalisation were diuretics (32 %), followed by non-steroidal anti-inflammatory drugs (15 %), thiazolidinediones (9 %), anticoagulants (9 %), antiplatelets (6 %), and aldosterone blockers (6 %).

    CONCLUSION: ADR-related hospitalisations account for 6.7 % of admissions of HF patients to cardiac units, one-third of which are preventable. Number of medications taken by HF patients is the only predictors of ADR-related hospitalisations. Diuretic induced volume depletion, and sodium and water retention caused by thiazolidinediones and NSAIDs medications are the major causes of ADR-related hospitalisations of HF patients.

    Matched MeSH terms: Hospitalization/trends*
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (tengcl@gmail.com)

External Links