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Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China.
Wen, Tiancai; Liu, Baoyan; Wan, Xia; Zhang, Xiaoping; Zhang, Jin; Zhou, Xuezhong; Lau, Alexander Y L; Zhang, Yanning.
Afiliación
  • Wen T; School of Computer Science, Northwestern Polytechnical University Xi'an, Shangxi Province, 710129, China.
  • Liu B; Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Wan X; Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Zhang X; Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Zhang J; Institute of Basic Medical Sciences at Chinese Academy of Medical Sciences / School of Basic Medicine at Peking Union Medical College, Beijing, 100005, China.
  • Zhou X; Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Lau AYL; Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Zhang Y; School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
BMC Neurol ; 18(1): 218, 2018 Dec 26.
Article en En | MEDLINE | ID: mdl-30587162
ABSTRACT

BACKGROUND:

Unplanned readmission within 31 days of discharge after stroke is a useful indicator for monitoring quality of hospital care. We evaluated the risk factors associated with 31-day unplanned readmission of stroke patients in China.

METHODS:

We identified 50,912 patients from 375 hospitals in 29 provinces, municipalities or autonomous districts across China who experienced an unplanned readmission after stroke between 2015 and 2016, and extracted data from the inpatients' cover sheet data from the Medical Record Monitoring Database. Patients were grouped into readmission within 31 days or beyond for analysis. Chi-squared test was used to analyze demographic information, health system and clinical process-related factors according to the data type. Multilevel logistic modeling was used to examine the effects of patient (level 1) and hospital (level 2) characteristics on an unplanned readmission ≤31 days.

RESULTS:

Among 50,912 patients, 14,664 (28.8%) were readmitted within 31 days after discharge. The commonest cause of readmissions were recurrent stroke (34.8%), hypertension (22.94%), cardio/cerebrovascular disease (13.26%) and diabetes/diabetic complications (7.34%). Higher risks of unplanned readmissions were associated with diabetes (OR = 1.089, P = 0.001), use of clinical pathways (OR = 1.174, P < 0.001), and being discharged without doctor's advice (OR = 1.485, P < 0.001). Lower risks were associated with basic medical insurances (OR ranging from 0.225 to 0.716, P < 0.001) and commercial medical insurance (OR = 0.636, P = 0.021), compared to self-paying for medical services. And patients aged 50 years old and above (OR ranging from 0.650 to 0.985, P < 0.05), with haemorrhagic stroke (OR = 0.467, P < 0.001), with length of stay more than 7 days in hospital (OR ranging from 0.082 to 0.566, P < 0.001), also had lower risks.

CONCLUSIONS:

Age, type of stroke, medical insurance status, type of discharge, use of clinical pathways, length of hospital stay and comorbidities were the most influential factors for readmission within 31 days.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Readmisión del Paciente / Accidente Cerebrovascular Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Neurol Asunto de la revista: NEUROLOGIA Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Readmisión del Paciente / Accidente Cerebrovascular Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Neurol Asunto de la revista: NEUROLOGIA Año: 2018 Tipo del documento: Article País de afiliación: China