1.Postoperated hip fracture rehabilitation effectiveness and efficiency in a community hospital.
Adrian K H TAN ; Rangpa TAIJU ; Edward B MENON ; Gerald C H KOH
Annals of the Academy of Medicine, Singapore 2014;43(4):209-215
INTRODUCTIONThis study aims to determine the inpatient rehabilitation effectiveness (REs) and rehabilitation efficiency (REy) of hip fracture in a Singapore community hospital (CH), its association with socio-demographic variables, medical comorbidities and admission Shah-modified Barthel Index (BI) score as well as change in independent ambulation from discharge to 4 months later.
MATERIALS AND METHODSA retrospective cohort study using data manually extracted from medical records of all patients who had hip fracture within 90 days and admitted to a CH after the operation for rehabilitation. Multiple linear regressions are used to identify independent predictors of REs and REy.
RESULTSThe mean REs was 40.4% (95% Confidence Interval (CI), 36.7 to 44.0). The independent predictors of poorer REs on multivariate analysis were older age, Malay (vs non-Malay) patients, fewer numbers of rehabilitative therapy sessions and dementia. The mean REy was 0.41 units per day [CI, 0.36 to 0.46]. The independent predictors of poorer REy on multivariate analysis were higher admission BI and being non-hypertensive patient. The prevalence of independent ambulation improved from 78.9% at the discharge to 88.3% 4 months later.
CONCLUSIONCH inpatient rehabilitative therapy showed REs 40.4% and REy of 0.41 units per day and the optimum number of rehabilitative therapy session was from 28 to 41 in terms of rehabilitation effectiveness and the maximum rehabilitation efficiency was seen in those doing 14 to 27 sessions of rehabilitative therapy. The study also showed improvement in BI at discharge and improvement in the independent ambulation 4 months after discharge from the CH.
Aged ; Aged, 80 and over ; Cohort Studies ; Female ; Hip Fractures ; rehabilitation ; Hospitalization ; Hospitals, Community ; Humans ; Male ; Middle Aged ; Postoperative Complications ; rehabilitation ; Retrospective Studies ; Treatment Outcome
2.THE ASSOCIATION BETWEEN PATIENT PROFILE AND CAREGIVER FACTORS AMONGST RECENT STROKE SURVIVORS ADMITTED TO COMMUNITY HOSPITALS IN SINGAPORE
Gerald Choon-Huat Koh ; Julia Shi Yu Tan ; Alvona Zi Hut Loh ; Peck-Hoon Ong ; Liang En Wee ; Cynthia Chen ; Angela Cheong ; Ngan Phoon Fong ; Kin Ming Chan ; Boon Yeow Tan ; Edward Menon ; Kok Keng Lee ; Robert Petrella ; Amardeep Thind
The Singapore Family Physician 2016;42(3):88-100
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.
3.Socio-demographic and clinical profile of admissions to community hospitals in Singapore from 1996 to 2005: a descriptive study.
Gerald C H KOH ; Liang E N WEE ; Nashia Ali RIZVI ; Cynthia CHEN ; Angela CHEONG ; Ngan Phoon FONG ; Kin Ming CHAN ; Boon Yeow TAN ; Edward MENON ; Chye Hua EE ; Kok Keng LEE ; Robert PETRELLA ; Amardeep THIND ; David KOH ; Kee Seng CHIA
Annals of the Academy of Medicine, Singapore 2012;41(11):494-510
INTRODUCTIONLittle 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.
MATERIALS AND METHODSData 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.
RESULTSMean 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.
CONCLUSIONThere 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.
Aged ; Aged, 80 and over ; Analysis of Variance ; Confidence Intervals ; Diagnosis ; Female ; Hospitals, Community ; Humans ; Male ; Medical Records ; statistics & numerical data ; Middle Aged ; Odds Ratio ; Patient Admission ; statistics & numerical data ; trends ; Singapore ; Social Class