Literature DB >> 29255362

Mortality risk factors during readmission at the Department of Medicine.

Chayanis Trakulthong1, Anakapong Phunmanee1.   

Abstract

BACKGROUND: Readmission is an indicator of quality of inpatient care. A study from Hong Kong found readmission mortality rate to be 5.1%. There are limited reports on risk factors for mortality other than co-morbid diseases in readmission patients. This study, thus, aims to evaluate risk factors for mortality during readmission.
METHODS: This study was conducted at a university hospital in Thailand. The inclusion criteria were patients aged ≥15 years and readmission to internal medicine wards within 28 days after discharge. The outcome of the study was death during readmission. Risk factors for readmission mortality were analyzed using multivariate logistic regression analysis.
RESULTS: There were 10,389 admissions to the Department of Medicine, Khon Kaen University, of which 407 required readmission (3.90%). Of those patients, 75 (18.43%) died during readmission. There were 6 independent factors associated with death in patients who were readmitted, including advanced age (>60 years), presence of more than 2 co-morbid diseases, admission duration of >14 days, fever at previous discharge, low hemoglobin (<12 g/dL), and having undergone over 5 procedures.
CONCLUSION: Older age, co-morbid diseases, readmission duration, presence of low hemoglobin at previous discharge, and numbers of procedures at readmission were significantly associated with increased mortality risk for readmission patients.

Entities:  

Keywords:  mortality; predictors; readmission

Year:  2017        PMID: 29255362      PMCID: PMC5722005          DOI: 10.2147/TCRM.S142114

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


Introduction

Readmission is an indicator of quality of inpatient care.1 In the USA, the readmission rate in 2009 was reported as 18%, costing >17 billion USD/year.2 Hospitals with high readmission rates are liable to be fined by the Centers for Medicare and Medicaid Services.3 Readmission within 28–30 days after discharge is related to several factors,4–7 including chronic diseases, depression, and low body weight. Another study from Australia found that low hemoglobin (<12 g/dL) or serum sodium (<135 mEq/L) at discharge were predictors for rehospitalization.5 A study from Hong Kong, in which the readmission rate was 16.7%, reported the mortality rate of readmission patients to be 5.1%.7 The 3 leading causes of death in readmitted patients were cancer, heart disease, and cerebrovascular diseases. There are limited reports on the risk factors of death other than co-morbid diseases in readmission patients. This study aims to evaluate the risk factors for readmission mortality.

Methods

This study is a retrospective study conducted at Khon Kaen University’s Srinagarind Hospital in Thailand. The inclusion criteria were patients aged ≥15 years and readmission to the internal medicine wards within 28 days after discharge. We excluded patients admitted for radiotherapy, chemotherapy or other procedures identified by the International Classification of Diseases (ICD)-10 code Z51.0/51.1 and ICD-9 code 99.25. The study period was between January 1 and December 31, 2012. Admission chart reviews of all eligible patients were performed. Data were collected, including baseline characteristics, principal diagnosis, co-morbid diseases, procedures, duration of admission, and treatment outcomes. The outcomes were defined as survival or death. The patients were categorized by treatment outcome. Clinical factors were compared between the 2 groups using descriptive statistics and univariate logistic regression analyses. Those factors with p-values of <0.25 according to univariate logistic regression analysis were subjected to subsequent multivariate backward logistic regression analysis. A test for multicollinearity was also performed. The results were presented as unadjusted odds ratio, adjusted odds ratio, and 95% CI.

Sample size calculation

On the basis of the results of a previous study,7 the estimated mortality rate for readmission patients was 8.9%. With a deviation error of 0.03 and a CI of 95%, the required sample size was 347. Ethical approval was obtained from the Faculty of Medicine Ethics Committee, Khon Kaen University, which was instituted as per the Helsinki Declaration. The ethics committee waived the need to obtain patient consent in this retrospective study as the data collected by the researchers were de-identified.

Results

During the study period, there were 10,389 admissions to the Department of Medicine, Khon Kaen University, of which 407 required readmission (3.90%). Of those patients, 75 (18.43%) died during readmission. For patients who were readmitted, the median (first to third quartile ranges) ages of those who survived and those who died were 59 (45–71) and 67 (59–74) years, respectively. The median durations of previous admission of patients who survived and those who died were 6 (3–11) and 8 (4–15) days, respectively. However, the median durations of readmission of patients who survived and those who died were longer at 7 (4–14) and 14 (6–28) days, respectively. The top 5 co-morbid diseases (each patient could have more than one associated co-morbidity) were hypertension (147 patients), hypokalemia (109 patients), diabetes (105 patients), anemia of chronic disease (75 patients), and acute kidney injury (55 patients). There were 10 factors associated with death in patients who were readmitted as assessed using univariate logistic regression analysis (Table 1). A higher proportion of patients who died were aged >60 years, had longer readmission durations, had dependent status, had 5 or more co-morbid diseases, and had undergone 5 or more procedures at readmission. The highest unadjusted odds ratio (95% CI) for death was the presence of 5 or more co-morbid diseases at 7.44 (3.31–16.68).
Table 1

Factors associated with death after readmission according to univariate logistic regression analysis

FactorsSurvived, n=332Died, n=75OR95% CIp-value
Male patients191 (57.53)46 (61.33)1.170.70–1.950.54
Age >60 years161 (48.49)56 (74.67)3.141.78–5.49<0.001
Previous admission ≥14 days56 (16.88)20 (20.67)1.790.99–3.220.05
Readmission ≥14 days75 (66.96)37 (33.04)3.331.98–5.61<0.001
Previous number of admissions in the past yeara2 (2–3)2 (2–3)1.090.96–1.230.17
Fever at previous discharge38 (11.45)15 (20.00)1.931.00–3.730.05
Hemoglobin <12 g/dL at previous discharge51 (15.36)6 (8.00)0.470.19–1.100.10
Nursing home stay12 (3.61)6 (8.00)2.310.84–6.390.10
No caregiver1 (0.30)1 (1.33)4.470.27–72.330.29
Dependent status40 (12.05)15 (20.00)2.351.15–4.790.01
Co-morbid diseases >5163 (49.10)52 (69.33)2.341.37–4.00.002
Co-morbid diseases >5b188 (56.63)68 (90.67)7.443.31–16.68<0.001
No of procedures >548 (14.46)14 (18.67)1.350.70–2.610.36
No of procedures >5b258 (77.71)72 (96.00)6.882.10–22.480.001
CKD56 (16.87)3 (4.00)0.200.06–0.670.009
Cancer40 (12.05)19 (25.33)2.471.33–4.570.004
Hematologic malignancy32 (9.64)7 (9.33)0.960.40–2.270.93
Pneumonia, COPD20 (6.02)10 (13.33)2.401.07–5.360.03
Rheumatic diseases14 (4.22)2 (2.67)0.620.13–2.970.53
CKDb45 (13.55)1 (1.33)0.080.10–0.630.01
Cancerb42 (12.65)16 (21.33)1.870.98–3.550.055
Hematologic malignancyb35 (10.54)7 (9.33)0.870.37–2.050.75
Pneumonia, COPDb25 (7.53)11 (14.67)2.110.98–4.500.05
Rheumatic diseasesb14 (4.22)2 (2.67)0.620.13–2.970.53

Notes:

Data presented as numbers (percentage) unless median (first to third quartile ranges);

The readmission status.

Abbreviations: CKD, chronic kidney disease; OR, odds ratio.

There were 6 independent factors associated with death in patients who were readmitted, according to multivariate logistic regression analysis (Table 2). The highest adjusted odds ratio (95% CI) for death was still the presence of 5 or more co-morbid diseases at readmission at 5.02 (2.11–11.90).
Table 2

Factors associated with death after readmission according to multivariate logistic regression analysis

FactorsAdjustedOR95% CIp-value
Age >60 years2.431.31–4.480.004
Co-morbid diseases >5a5.022.11–11.90<0.001
Admission duration ≥14 daysa1.931.08–3.430.02
Fever at previous discharge2.351.10–4.990.02
Hemoglobin <12 g/dL at previous discharge0.350.13–0.920.03
No caregiver14.60.83–255.040.06
Procedure >5a3.911.13–13.490.03

Note:

Readmission status.

Abbreviation: OR, odds ratio.

Discussion

The prevalence of readmission in this study was lower than that of previous studies. The readmission rate at the university hospital in this study was only 3.90% of the 10,389 total admissions. Studies from the USA and Australia had higher readmission rates at 22.3% and 38.7%, respectively.4,5 The latter study showed such a high readmission rate due to the longer duration criteria. Unlike other studies, patients in that study were included if readmission occurred within 6 months. Co-morbid diseases are another important factor associated with readmission.8,9 The study from the USA mentioned earlier had a higher percentage of cancer patients (35.3%) compared with this study (14.50%). Finally, as our hospital is a teaching hospital, when there were no available beds the readmission patients were referred to a nearby tertiary services hospital. Due to the limitations of this study being retrospective in nature, there were no data available on these patients. The study from Hong Kong mentioned earlier found the mortality rate of readmission patients to be 5.1%,7 which was lower than in this study (18.43%). These findings may indicate better healthcare in Hong Kong than in Thailand. Once again, another factor that affects mortality rate is co-morbid disease. Cancer patients had an extremely high mortality rate at 30.8%.7 Similarly, patients with >5 co-morbid diseases had 5 times greater risk of mortality, or an ~100% increase in mortality rate for each co-morbid disease over one (Table 2). Several factors have been reported to be associated with readmission risks such as low hemoglobin (<12 g/dL), length of stay (>5 days), or having undergone any medical procedures.5 In this study, we found that these factors were indicators for death after readmission (Table 2). Mortality risk was higher by 3.91 times if >5 procedures had been performed, and a readmission stay of >14 days increased the risk of death by 93%. Elderly patients are especially at risk for readmission and death during readmission.7,10,11 A previous study showed that age >75 years was associated with readmission and mortality.7 This study found that physicians should be aware of the 2.43 times higher mortality risk in patients aged >60 years (Table 2). The presence of fever at previous discharge also increased mortality risk, as has previously been reported.10,11 There are some limitations to this study. The criteria for readmission in this study was 28 days, and not 30 like other reports from the USA, Hong Kong, and Australia. Readmission within 28 days after discharge is the criterion used by most hospitals in Thailand.12 However, this factor may not have a large effect on the results. Second, the results of this study may not be universal due to different standards of healthcare, common diseases, and co-morbid diseases in various countries. This information may be used to stratify patients and improve local care when physicians and hospital staff have high workloads in order to determine who can be safely discharged and who cannot.

Conclusion

Older age, co-morbid diseases, readmission duration, presence of fever or low hemoglobin at previous discharge, and number of procedures at readmission were significantly associated with increased mortality risk for patients who were readmitted.
  10 in total

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4.  Impact of Poststroke Medical Complications on 30-Day Readmission Rate.

Authors:  Sonia V Shah; Carlos Corado; Deborah Bergman; Yvonne Curran; Richard A Bernstein; Andrew M Naidech; Shyam Prabhakaran
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Journal:  Clin Gastroenterol Hepatol       Date:  2014-05-09       Impact factor: 11.382

8.  Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model.

Authors:  Jacques Donzé; Drahomir Aujesky; Deborah Williams; Jeffrey L Schnipper
Journal:  JAMA Intern Med       Date:  2013-04-22       Impact factor: 21.873

9.  Avoidable readmission in Hong Kong--system, clinician, patient or social factor?

Authors:  Carrie H K Yam; Eliza L Y Wong; Frank W K Chan; Michael C M Leung; Fiona Y Y Wong; Annie W L Cheung; E K Yeoh
Journal:  BMC Health Serv Res       Date:  2010-11-17       Impact factor: 2.655

10.  Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data.

Authors:  Eliza L Y Wong; Annie W L Cheung; Michael C M Leung; Carrie H K Yam; Frank W K Chan; Fiona Y Y Wong; Eng-Kiong Yeoh
Journal:  BMC Health Serv Res       Date:  2011-06-17       Impact factor: 2.655

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