THE ASSOCIATION BETWEEN PATIENT PROFILE AND CAREGIVER FACTORS AMONGST RECENT STROKE SURVIVORS ADMITTED TO COMMUNITY HOSPITALS IN SINGAPORE

Caregivers are important in post-stroke rehabilitation, but little work has been done on the caregivers of stroke survivors in Asian cultures. We examined the association between patient profile (age, gender, socioeconomic status, functional level, religion, and ethnicity) and caregiver availability, number of potential caregivers and primary caregiver identity amongst Singaporean community hospitals' stroke patients. Data was obtained from all Singaporean community hospitals from 1996-2005. 3796 patients fulfilled inclusion criteria. Mixed logistic regression identified independent predictors of caregiver availability and primary caregiver identity. Mixed Poisson modelling identified independent predictors of the number of caregiver(s). Among recent stroke survivors, 95.8% (3640/3796) had potential caregivers, of which 94.2% (3429/3640) had identified primary caregivers. Of the latter, 41.2% relied on live-in hired help (foreign domestic workers-FDWs), 27.6% on spouses and 21.6% on first-degree relatives. Independent patient factors associated with caregiver availability and number were older, female, married, higher socioeconomic status, having a religion and lower functional level at admission. Independent patient factors associated with FDW caregivers were older age, female, Chinese compared to Malay, with higher socioeconomic class and lower functional level at admission. Caregiver availability for post-stroke patients in Singapore community hospitals is relatively high, with heavy dependence on FDWs.

ACYCLOVIR NEUROTOXICITY IN A PATIENT WITH END-STAGE RENAL FAILURE UNDERGOING CONTINUOUS AMBULATORY PERITONEAL DIALYSIS — A CASE REPORT AND WHAT CAN BE LEARNT

A 65-year-old lady with End-Stage Renal Failure (ESRF) receiving Continuous Ambulatory Peritoneal Dialysis (CAPD) was admitted acutely for altered mental status and neurological symptoms. She presented to the Emergency Department with bilateral upper limb weakness and clumsiness, bilateral lower limb weakness for 1 day’s duration. In addition, her family members reported altered behaviour for the previous 1 day. On examination, the patient had slurred speech, weakness in all limbs and brisk reflexes throughout. Significantly, she had been diagnosed with herpes zoster 2 days earlier by a family physician, for which she was started on oral acyclovir. Our patient was diagnosed as having acyclovir toxicity and commenced on urgent haemodialysis. Her symptoms resolved completely after 2 days. Our case details the uncommon but potentially fatal complication of acyclovir toxicity in patients with renal impairment, reinforces the importance of dose reduction in these patients and demonstrates haemodialysis as a good form of treatment for acyclovir toxicity. Family physicians should be familiar with dose adjustments for common medications prescribed to ESRF patients in the outpatient setting as the burden of chronic kidney disease increases in Singapore.

Integrated care pathway for hip fractures in a subacute rehabilitation setting

<p><b>INTRODUCTION</b>The effectiveness of integrated care pathways for hip fractures in subacute rehabilitation settings is not known. The study objective was to assess if a hip fracture integrated care pathway at a subacute rehabilitation facility would result in better functional outcomes, shorter length of stay and fewer institutionalisations.</p><p><b>MATERIALS AND METHODS</b>A randomised controlled trial on an integrated care pathway for hip fracture patients in a subacute rehabilitation setting. Modified Barthel Index, ambulatory status, SF-12, length of stay, discharge destination, hospital readmission and mortality were measured. Followup assessments were up to 1 year post-hip fracture.</p><p><b>RESULTS</b>There were no significant differences in Montebello Rehabilitation Factor Scores and proportions achieving premorbid ambulatory status at discharge, 6 months and 12 months respectively. There was a significant reduction in the median length of stay between the control group at 48.0 days and the intervention group at 35.0 days (P = 0.009). The proportion of readmissions to acute hospitals was similar in both groups up to 1 year. There were no significant differences for nursing home stay up to 1 year post-discharge and mortality at 1 year.</p><p><b>CONCLUSION</b>Our study supports the use of integrated care pathways in subacute rehabilitation settings to reduce length of stay whilst achieving the same functional gains.</p>

Socio-demographic and clinical profile of admissions to community hospitals in Singapore from 1996 to 2005: a descriptive study

<p><b>INTRODUCTION</b>Little data is available on community hospital admissions. We examined the differences between community hospitals and the annual trends in sociodemographic characteristics of all patient admissions in Singaporean community hospitals over a 10- year period from 1996 to 2005.</p><p><b>MATERIALS AND METHODS</b>Data were manually extracted from medical records of 4 community hospitals existent in Singapore from 1996 to 2005. Nineteen thousand and three hundred and sixty patient records were examined. Chisquare test was used for univariate analysis of categorical variables by type of community hospitals. For annual trends, test for linear by linear association was used. ANOVA was used to generate beta coefficients for continuous variables.</p><p><b>RESULTS</b>Mean age of all patient admissions has increased from 72.8 years in 1996 to 74.8 years in 2005. The majority was Chinese (88.4%), and female (58.1%) and admissions were mainly for rehabilitation (88.0%). Almost one third had foreign domestic workers as primary caregivers and most (73.5%) were discharged to their own home. There were significant differences in socio-demographic profile of admissions between hospitals with one hospital having more patients with poor social support. Over the 10-year period, the geometric mean length of stay decreased from 29.7 days (95% CI, 6.4 to 138.0) to 26.7 days (95% CI, 7.5 to 94.2), and both mean admission and discharge Barthel Index scores increased from 41.0 (SD = 24.9) and 51.8 (SD = 30.0), respectively in 1996 to 48.4 (SD = 24.5) and 64.2 (SD = 27.3) respectively in 2005.</p><p><b>CONCLUSION</b>There are significant differences in socio-demographic characteristics and clinical profile of admissions between various community hospitals and across time. Understanding these differences and trends in admission profiles may help in projecting future healthcare service needs.</p>

Factors affecting unplanned readmissions from community hospitals to acute hospitals: a prospective observational study

<p><b>INTRODUCTION</b>While the readmission rate from community hospitals is known, the factors affecting it are not. Our aim was to determine the factors predicting unplanned readmissions from community hospitals (CHs) to acute hospitals (AHs).</p><p><b>MATERIALS AND METHODS</b>This was an observational prospective cohort study, involving 842 patients requiring post-acute rehabilitation in 2 CHs admitted from 3 AHs in Singapore. We studied the role of the Cumulative Illness Rating Scale (CIRS) organ impairment scores, the Mini-mental State Examination (MMSE) score, the Shah modified Barthel Index (BI) score, and the triceps skin fold thickness (TSFT) in predicting the rate of unplanned readmissions (UR), early unplanned readmissions (EUPR) and late unplanned readmissions (LUPR). We developed a clinical prediction rule to determine the risk of UR and EUPR.</p><p><b>RESULTS</b>The rates of EUPR and LUPR were 7.6% and 10.3% respectively. The factors that predicted UR were the CIRS-heart score, the CIRS-haemopoietic score, the CIRS-endocrine / metabolic score and the BI on admission. The MMSE was predictive of EUPR. The TSFT and CIRS-liver score were predictive of LUPR. Upon receiver operator characteristics analysis, the clinical prediction rules for the prediction of EUPR and UR had areas under the curve of 0.745 and 0.733 respectively. The likelihood ratios of the clinical prediction rules for EUPR and UR ranged from 0.42 to 5.69 and 0.34 to 3.16 respectively.</p><p><b>CONCLUSIONS</b>Patients who have UR can be identified by the admission BI, the MMSE, the TSFT and CIRS scores in the cardiac, haemopoietic, liver and endocrine/metabolic systems.</p>