Displaying publications 1 - 20 of 38 in total

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  1. Zulastri MAM, Hafidz MI, Ismail MD, Zuhdi ASM
    Rev Cardiovasc Med, 2021 Jun 30;22(2):505-512.
    PMID: 34258919 DOI: 10.31083/j.rcm2202058
    In patients with acute heart failure (AHF), hemoconcentration has been suggested as a surrogate for volume changes (AHF). However, literatures comparing the outcome of AHF patients that achieved hemoconcentration during hospitalization with those that do not are limited. The aim of this research is to see if achieving hemoconcentration prior to discharge is linked to a lower risk of re-admission in AHF patients. 124 patients hospitalized in the Cardiology Unit, University Malaya Medical Centre (UMMC) for AHF between November 2019 and November 2020 were enrolled. Information on patients' clinical characteristics, laboratory values and in-hospital treatments were collected through electronic medical record. At admission and discharge, the change in hematocrit (HCT) levels was calculated, and patients were stratified based on two quantiles of delta HCT, either discharged with hemoconcentration (ΔHCT >1.5%) or without hemoconcentration (ΔHCT ≤1.5%). The study's outcome was AHF readmission after a 90-day follow-up period. Readmission was significantly associated with ejection fraction (p = 0.032) and HCT change (p = 0.005). Consecutively, logistic regression performed revealed that patients with haemoconcentration were 78.3% less likely to be readmitted than those without haemoconcentration (OR = 0.217, p = 0.003, 95% CI = 0.078-0.605) and Patients with a lower ejection fraction have a threefold greater chance of being readmitted than those with a preserved ejection fraction (OR = 3.316, p = 0.022, 95% CI = 1.188-9.256). In conclusion, among patients hospitalized and discharged for AHF, those that (i) do not achieve haemoconcentration and (ii) patients with a reduced ejection fraction were more likely to be readmitted with acute heart failure. Therefore, optimising patients' haematocrit levels prior to discharge may potentially reduce rehospitalizations among heart failure patients.
    Matched MeSH terms: Patient Readmission*
  2. Shirazi OU, Ab Rahman NS, Zin CS
    J Pharm Bioallied Sci, 2020 10 08;12(4):369-380.
    PMID: 33679082 DOI: 10.4103/jpbs.JPBS_311_19
    The overuse of antibiotics has led to various healthcare problems such as the emergence of resistance in infectious microbes and mortality due to antibiotic resistant healthcare associated infections (HAIs). An antimicrobial stewardship (AMS) program is the set of interventions used worldwide to enhance the rational use of antibiotics especially for the hospitalized patients. This review aimed to describe the characteristics of the implemented AMS programs in various hospitals of the world mainly focusing on the interventions and patients outcomes. The literature about AMS program was searched through various databases such as PubMed, Google Scholar, Science Direct, Cochran Library, Ovid (Medline), Web of Science and Scopus. In this review the literature pertaining to the AMS programs for hospitalized patients is sorted on the basis of various interventions that are categorized as formulary restriction (pre-authorization), guideline development, clinical pathway development, educative interventions and prospective audit. Moreover a clear emphasis is laid on the patient outcomes obtained as a result of these interventions namely the infection control, drop in readmission rate, mortality control, resistance control and the control of an overall cost of antibiotic treatment obtained mainly by curbing the overuse of antibiotics within the hospital wards. AMS program is an efficient strategy of pharmacovigilance to rationalize the antimicrobial practice for hospitalized patients as it prevents the misuse of antibiotics, which ultimately retards the health threatening effects of various antibiotics.
    Matched MeSH terms: Patient Readmission
  3. Ang SH, Hwong WY, Bots ML, Sivasampu S, Abdul Aziz AF, Hoo FK, et al.
    PLoS One, 2021;16(1):e0245448.
    PMID: 33465103 DOI: 10.1371/journal.pone.0245448
    BACKGROUND AND OBJECTIVES: Risk of readmissions is an important quality indicator for stroke care. Such information is limited among low- and middle-income countries. We assessed the trends for 28-day readmissions after a stroke in Malaysia from 2008 to 2015 and evaluated the causes and factors associated with readmissions in 2015.

    METHODS: Using the national hospital admission records database, we included all stroke patients who were discharged alive between 2008 and 2015 for this secondary data analysis. The risk of readmissions was described in proportion and trends. Reasons were coded according to the International Classification of Diseases, 10th Edition. Multivariable logistic regression was performed to identify factors associated with readmissions.

    RESULTS: Among 151729 patients, 11 to 13% were readmitted within 28 days post-discharge from their stroke events each year. The trend was constant for ischemic stroke but decreasing for hemorrhagic stroke. The leading causes for readmissions were recurrent stroke (32.1%), pneumonia (13.0%) and sepsis (4.8%). The risk of 28-day readmission was higher among those with stroke of hemorrhagic (adjusted odds ratio (AOR): 1.52) and subarachnoid hemorrhage (AOR: 2.56) subtypes, and length of index admission >3 days (AOR: 1.48), but lower among younger age groups of 35-64 (AORs: 0.61-0.75), p values <0.001.

    CONCLUSION: The risk of 28-day readmission remained constant from 2008 to 2015, where one in eight stroke patients required readmission, mainly attributable to preventable causes. Age, ethnicity, stroke subtypes and duration of the index admission influenced the risk of readmission. Efforts should focus on minimizing potentially preventable admissions, especially among those at higher risk.

    Matched MeSH terms: Patient Readmission*
  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: Patient Readmission/statistics & numerical data
  5. Elshamy E, Ali YZA, Khalafallah M, Soliman A
    J Matern Fetal Neonatal Med, 2020 Jan;33(2):272-276.
    PMID: 30021481 DOI: 10.1080/14767058.2018.1489533
    Introduction: The ideal antiseptic agent for skin preparation before elective cesarean section (CS) is not yet determined. The aim of the study was to assess the impact of skin preparation by chlorhexidine-alcohol compared with povidone-iodine before elective CS on the rate of surgical site infection (SSI).Materials and methods: This prospective observational study included a total of 1424 pregnant women at term who were candidates for the elective CS and were divided into two equal groups of 712 patients in each, group 1 (chlorhexidine-alcohol group) and group 2 (povidone-iodine group). Patients were followed up at 1 week and 1 month postoperative to determine the rate of SSI.Results: The rate of SSI was 3.7% (26 patients) in the chlorhexidine-alcohol group compared with 4.6% (33 patients) in the povidone-iodine group (odds ratio: 0.7798, 95% CI: 0.46-1.3, p = .35), nine patients in the chlorhexidine-alcohol group, and 10 patients in the povidone-iodine group required resuturing (odds ratio: 0.9, 95% CI: 0.36-2.2, p = .82). Four patients (0.56%) in the chlorhexidine-alcohol group and five patients (0.7%) in the povidone-iodine group developed endometritis (p = .74). The rate or readmission because of SSI was 2.7% (19 patients) in the chlorhexidine-alcohol group and 2.9% (21 patients) in the povidone-iodine group (p = .75).Conclusions: Skin preparation with either chlorhexidine-alcohol or povidone-iodine resulted in comparable rates of SSIs. Accordingly, both are suitable antiseptic agents for skin preparation before elective CS.
    Matched MeSH terms: Patient Readmission
  6. Miravitlles M, Bhutani M, Hurst JR, Franssen FME, van Boven JFM, Khoo EM, et al.
    Adv Ther, 2023 Oct;40(10):4236-4263.
    PMID: 37537515 DOI: 10.1007/s12325-023-02609-8
    Discharge bundles, comprising evidence-based practices to be implemented prior to discharge, aim to optimise patient outcomes. They have been recommended to address high readmission rates in patients who have been hospitalised for an exacerbation of chronic obstructive pulmonary disease (COPD). Hospital readmission is associated with increased morbidity and healthcare resource utilisation, contributing substantially to the economic burden of COPD. Previous studies suggest that COPD discharge bundles may result in fewer hospital readmissions, lower risk of mortality and improvement of patient quality of life. However, evidence for their effectiveness is inconsistent, likely owing to variable content and implementation of these bundles. To ensure consistent provision of high-quality care for patients hospitalised with an exacerbation of COPD and reduce readmission rates following discharge, we propose a comprehensive discharge protocol, and provide evidence highlighting the importance of each element of the protocol. We then review care bundles used in COPD and other disease areas to understand how they affect patient outcomes, the barriers to implementing these bundles and what strategies have been used in other disease areas to overcome these barriers. We identified four evidence-based care bundle items for review prior to a patient's discharge from hospital, including (1) smoking cessation and assessment of environmental exposures, (2) treatment optimisation, (3) pulmonary rehabilitation, and (4) continuity of care. Resource constraints, lack of staff engagement and knowledge, and complexity of the COPD population were some of the key barriers inhibiting effective bundle implementation. These barriers can be addressed by applying learnings on successful bundle implementation from other disease areas, such as healthcare practitioner education and audit and feedback. By utilising the relevant implementation strategies, discharge bundles can be more (cost-)effectively delivered to improve patient outcomes, reduce readmission rates and ensure continuity of care for patients who have been discharged from hospital following a COPD exacerbation.
    Matched MeSH terms: Patient Readmission
  7. Nor Hanipah Z, Punchai S, Karas LA, Szomstein S, Rosenthal RJ, Brethauer SA, et al.
    Obes Surg, 2018 06;28(6):1498-1503.
    PMID: 29290011 DOI: 10.1007/s11695-017-3020-z
    BACKGROUND: Bariatric surgery has been shown to be safe and effective in patients aged 60-75 years; however, outcomes in patients aged 75 or older are undocumented.

    METHODS: Patients aged 75 years and older who underwent bariatric procedures in two academic centers between 2006 and 2015 were studied.

    RESULTS: A total of 19 patients aged 75 years and above were identified. Eleven (58%) were male, the median age was 76 years old (range 75-81), and the median preoperative body mass index (BMI) was 41.4 kg/m2 (range 35.8-57.5). All of the bariatric procedures were primary procedures and performed laparoscopically: sleeve gastrectomy (SG) (n = 11, 58%), adjustable gastric band (AGB) (n = 4, 21%), Roux-en-Y gastric bypass (RYGB) (n = 2, 11%), banded gastric plication (n = 1, 5%), and gastric plication (n = 1, 5%). The median operative time was 120 min (range 75-240), and the median length of stay was 2 days (range 1-7). Three patients (16%) developed postoperative atrial fibrillation which completely resolved at discharge. At 1 year, the median percentage of total weight loss (%TWL) was 18.4% (range 7.4-22.0). The 1-year %TWL varied among the bariatric procedures performed: SG (21%), RYGB (22%), AGB (7%), and gastric plication (8%). There were no 30-day readmissions, reoperations, or mortalities.

    CONCLUSION: Our experience suggests that bariatric surgery in selected patients aged 75 years and older would be safe and effective despite being higher risk. Age alone should not be the limiting factor for selecting patients for bariatric surgery.

    Matched MeSH terms: Patient Readmission/statistics & numerical data
  8. Sachithanandan A
    Interact Cardiovasc Thorac Surg, 2011 Feb;12(2):134.
    PMID: 21257948 DOI: 10.1510/icvts.2010.249474A
    Matched MeSH terms: Patient Readmission/economics; Patient Readmission/statistics & numerical data*
  9. Tan PC, Yow CM, Omar SZ
    Gynecol. Obstet. Invest., 2009;67(3):151-7.
    PMID: 19077388 DOI: 10.1159/000181182
    To evaluate oral pyridoxine in conjunction with standard therapy in women hospitalized for hyperemesis gravidarum (HG).
    Matched MeSH terms: Patient Readmission
  10. Tan PC, Jacob R, Quek KF, Omar SZ
    Aust N Z J Obstet Gynaecol, 2006 Oct;46(5):446-50.
    PMID: 16953861
    In a retrospective analysis of 192 cases of presumed hyperemesis gravidarum, there were no biochemical markers that predicted hospital readmission. There was, however, statistically significant negative predictive value in abnormal liver function tests. This could represent acute self-limited illness with a component of hepatitis as the cause for the clinical presentation, rather than hyperemesis.
    Matched MeSH terms: Patient Readmission/statistics & numerical data*
  11. Tan PC, Norazilah MJ, Omar SZ
    Obstet Gynecol, 2012 Dec;120(6):1273-82.
    PMID: 23168750 DOI: http://10.1097/AOG.0b013e3182723a95
    To compare patient satisfaction and exclusive breastfeeding rates for patients discharged from the hospital on postcesarean day 1 (next day) or day 2.
    Matched MeSH terms: Patient Readmission
  12. Ng, C.G.
    MyJurnal
    Objective: To illustrate the results of dichotomizing a continuous variable in a prediction model. Method: 202 patients who were discharged from the psychiatric ward, University Malaya Medical Centre (UMMC) from 27th August 2007 to 15th April 2008 were recruited. The general psychopathology was measured with Brief Psychiatric Rating Scale (BPRS-24). The information on age, gender, race, marital status, occupation, psychiatric diagnosis, first onset, electroconvulsive therapy, substance use, oral treatment and depot injection were collected. On follow up, the patients who had early readmission.
    Matched MeSH terms: Patient Readmission
  13. Ng, Chong Guan, Muhamad Saiful Bahri Yusoff
    MyJurnal
    Objective: Missing values is commonly encountered in data analysis in all types of research. Various methods were introduced to handle this matter. This study aims to compare the result of using complete data analysis, missing indicator method, means substitution and single imputation in dealing with this issue. Methods: 202 patients who were discharged from the psychiatric ward, University Malaya Medical Centre (UMMC) from 27th August 2007 to 15th April 2008 were recruited. The general psychopathology was measured with Brief Psychiatric Rating Scale (BPRS-24). The information on age, gender, race, marital status and psychiatric diagnosis were collected. On follow up, the patients who had early readmission (
    Matched MeSH terms: Patient Readmission
  14. Dahlan R, Midin M, Sidi H, Maniam T
    Asia Pac Psychiatry, 2013 Apr;5 Suppl 1:127-33.
    PMID: 23857849 DOI: 10.1111/appy.12058
    INTRODUCTION: Hospital-based community psychiatric service (HCPS) is a developing intervention in Malaysia targeted for patients with severe mental illnesses (SMIs). Its effectiveness had not been systematically measured. This study aimed to assess the outcome of HCPS with respect to re-hospitalization and factors associated with low re-hospitalization among patients with schizophrenia in the metropolitan city of Kuala Lumpur.
    METHODS: A naturalistic and retrospective cohort study was conducted using within-subject pre-post design on 155 patients with schizophrenia who received HCPS in Hospital Kuala Lumpur (HKL). The selection was made by simple random sampling. The hospital admission profiles were obtained from clinical records. The socio-demographic and relevant clinical data were also assessed through clinical interviews.
    RESULTS: One hundred and forty (90%) of 155 respondents had low rate of hospital admission with significant reduction of being hospitalized within 1 year after receiving HCPS (p patients with schizophrenia in Malaysia. The finding may be used as an evidence to develop the service further in other hospitals. However, the finding needs to be replicated through studies with better design involving more psychiatric centres.
    KEYWORDS: Assertive Community Treatment; community psychiatric service; re-hospitalization; schizophrenia
    Matched MeSH terms: Patient Readmission/statistics & numerical data*
  15. Lum LCS
    Pediatr Crit Care Med, 2020 11;21(11):1007-1008.
    PMID: 33136989 DOI: 10.1097/PCC.0000000000002416
    Matched MeSH terms: Patient Readmission*
  16. Ng, C.G., Yee, H.A., Zainal, N.Z., Loh, H.S.
    MyJurnal
    Objective: The aim of the study was to determine the early readmission rate among the psychiatric patients discharged from a teaching hospital in Malaysia. The associated factors were also examined. Methods: This is a prospective and observational study. The socio-demographic and clinical data of 202 patients from the psychiatric ward were collected on discharge along with the administration of instruments including Brief Psychiatric Rating Scale (BPRS), Life Events Questionnaire (LEQ), and Multidimensional Scale of Perceived Social Support (MSPSS). Assessment of compliance to medication and substance use was reliant on self-report data. Medication compliance was categorized as “poor” vs “good”, whereas poor compliance was the complete discontinuation of medication for at least two weeks. The patients were followed up to determine whether they were readmitted within 6 months. Results: At the end of 6 months follow-up, 32.2% of the subjects were readmitted. Univariate regression analysis indicated that patients with psychotic disorder, past episodes, previous admission, poor compliance, on conventional or depot injectable antipsychotic and higher BPRS scores on discharge were significantly associated with early readmission (p
    Matched MeSH terms: Patient Readmission
  17. Yang YF, Hoo JX, Tan JY, Lim LL
    ESC Heart Fail, 2023 Apr;10(2):791-807.
    PMID: 36377317 DOI: 10.1002/ehf2.14207
    To investigate the effectiveness of multicomponent integrated care on clinical outcomes among patients with chronic heart failure. We conducted a meta-analysis of randomized clinical trials, published in English language from inception to 20 April 2022, with at least 3-month implementation of multicomponent integrated care (defined as two or more quality improvement strategies from different domains, viz. the healthcare system, healthcare providers, and patients). The study outcomes were mortality (all-cause or cardiovascular) and healthcare utilization (hospital readmission or emergency department visits). We pooled the risk ratio (RR) using Mantel-Haenszel test. A total of 105 trials (n = 37 607 patients with chronic heart failure; mean age 67.9 ± 7.3 years; median duration of intervention 12 months [interquartile range 6-12 months]) were analysed. Compared with usual care, multicomponent integrated care was associated with reduced risk for all-cause mortality [RR 0.90, 95% confidence interval (CI) 0.86-0.95], cardiovascular mortality (RR 0.73, 95% CI 0.60-0.88), all-cause hospital readmission (RR 0.95, 95% CI 0.91-1.00), heart failure-related hospital readmission (RR 0.84, 95% CI 0.79-0.89), and all-cause emergency department visits (RR 0.91, 95% CI 0.84-0.98). Heart failure-related mortality (RR 0.94, 95% CI 0.74-1.18) and cardiovascular-related hospital readmission (RR 0.90, 95% CI 0.79-1.03) were not significant. The top three quality improvement strategies for all-cause mortality were promotion of self-management (RR 0.86, 95% CI 0.79-0.93), facilitated patient-provider communication (RR 0.87, 95% CI 0.81-0.93), and e-health (RR 0.88, 95% CI 0.81-0.96). Multicomponent integrated care reduced risks for mortality (all-cause and cardiovascular related), hospital readmission (all-cause and heart failure related), and all-cause emergency department visits among patients with chronic heart failure.
    Matched MeSH terms: Patient Readmission
  18. Tan CY, Wafiatul NMH, Chang SMW, Tee AX, Lim AW
    Med J Malaysia, 2023 Nov;78(6):793-802.
    PMID: 38031223
    INTRODUCTION: There has been an observed number of readmissions after an index COVID-19 admission, including admissions after an initial home quarantine. The purpose of this study was to identify the clinical characteristics and outcomes of COVID-19 patients who were readmitted or admitted after an initial home quarantine between 21 and 90 days of illness.

    MATERIALS AND METHODS: This was a single-centre retrospective cohort study comprising patients admitted to a state hospital in Selangor, Malaysia, between August and October 2021. The demographic data, clinical characteristics, presenting complaints, laboratory tests, organ dysfunction, use of invasive ventilation, intensive care unit (ICU) admissions, length of hospitalisation and mortality were collected and analysed.

    RESULTS: The analysis involved a total of 195 cases. More than a quarter of the cases (52 [26.7%]) were related to the initial COVID-19 infection. Nine cases (4.6%) required mechanical ventilation, while eight cases (4.1%) were admitted to the ICU. The overall mortality was 17 cases (8.7%). Surviving patients were younger (49.5 vs. 58.4 years), less likely to have diabetes mellitus (48.3% vs. 82.4%), or chronic kidney disease (12.9% vs. 41.2%); had higher levels of admission haemoglobin (12.6 vs. 9.1g/dL) and albumin (33.0 vs. 21.0g/L); lower white blood cells (10.2 vs. 13.0 × 109/L), creatinine (81.2 vs. 151.9μmol/L) and C-reactive protein (18.2 vs. 135.0mg/L) at admission; less likely to have MI (6.7% vs. 23.5%), sepsis (3.4% vs. 47.1%), or acute kidney injury (3.4% vs. 17.6%) and organ dysfunction (25.3% vs. 94.1%).

    CONCLUSION: Approximately a quarter of patients were admitted or readmitted due to direct COVID-19 complications between 21 and 90 days of illness. The baseline oxygen requirements at admission were independently associated with mortality, invasive mechanical ventilation and ICU admissions. Further research is needed to establish a risk model for patients returning to a hospital to predict their risk of post-COVID complications.

    Matched MeSH terms: Patient Readmission
  19. Teo K, Yong CW, Muhamad F, Mohafez H, Hasikin K, Xia K, et al.
    J Healthc Eng, 2021;2021:9208138.
    PMID: 34765104 DOI: 10.1155/2021/9208138
    Quality of care data has gained transparency captured through various measurements and reporting. Readmission measure is especially related to unfavorable patient outcomes that directly bends the curve of healthcare cost. Under the Hospital Readmission Reduction Program, payments to hospitals were reduced for those with excessive 30-day rehospitalization rates. These penalties have intensified efforts from hospital stakeholders to implement strategies to reduce readmission rates. One of the key strategies is the deployment of predictive analytics stratified by patient population. The recent research in readmission model is focused on making its prediction more accurate. As cost-saving improvements through artificial intelligent-based health solutions are expected, the broad economic impact of such digital tool remains unknown. Meanwhile, reducing readmission rate is associated with increased operating expenses due to targeted interventions. The increase in operating margin can surpass native readmission cost. In this paper, we propose a quantized evaluation metric to provide a methodological mean in assessing whether a predictive model represents cost-effective way of delivering healthcare. Herein, we evaluate the impact machine learning has had on transitional care and readmission with proposed metric. The final model was estimated to produce net healthcare savings at over $1 million given a 50% rate of successfully preventing a readmission.
    Matched MeSH terms: Patient Readmission*
  20. Lee, Wen Jih, Ong, Lieh Yan, Koay, Siew Ni, Kwan, Zuan Er
    MyJurnal
    Objective: The main aim of this study is to assess the prevalence of early
    readmissions to inpatient care in Hospital Bahagia Ulu Kinta and the associated
    socio-demographic and clinical factors.

    Methods: This is an observational study
    for all patients with readmissions within 3 months from the last discharge, dated
    from 1 January 2013 to 31 December 2013. Related socio-demographic and
    clinical details are obtained from the medical records and compared between the
    patients who were readmitted within the first month after discharge to those who
    were readmitted later in the second and third month.

    Results: Total of 149
    records of patients who were readmitted within 3 months of last discharge were
    analyzed. Majority of them were from the same state of Perak (83.9%), male
    (74.5%), single (71.1%), unemployed (85.9%), taken care by family (75.2%),
    achieved secondary education level (59.7%) with mean age of 37.89 years (SD
    11.53). They were discharged for a mean of 32.52 days (SD 26.48) before
    readmission with a mean duration of 72.98 days in the previous admission, and
    mean previous admissions of 10.17 times. 69.8% of the patients were treated for
    psychotic disorders and the main reason for readmission was relapse (84.6%).
    Up to 34.2% of the patients reported to have substance abuse while 25.5% had
    medical co-morbidities. Most of the patients (63.8%) were not compliant to the
    treatment from the last discharge. Socioeconomic and clinical factors did not
    show statistical significance when the readmissions within the first month after
    discharge were compared to those who were admitted later at the second and
    third month.

    Conclusions: Due to limitations, further studies need to be done to
    identify risk factors associated with readmissions and adequate measures need to
    be taken to prevent these readmissions.
    Matched MeSH terms: Patient Readmission
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