| Title |
Mortality risk factors during readmission at the Department of Medicine
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, December 2017
|
| DOI | 10.2147/tcrm.s142114 |
| Pubmed ID | |
| Authors |
Chayanis Trakulthong, Anakapong Phunmanee |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 25% |
| Lecturer | 1 | 13% |
| Researcher | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 38% |
| Medicine and Dentistry | 2 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,070
of 1,323 outputs
Outputs of similar age
#338,762
of 444,941 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#19
of 24 outputs
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