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Banks, Steven M.; Pandiani, John A.; Gauvin, Lisa; Reardon, Monica; Schacht, Lucille M.; Zovistoski, A P

doi:10.1023/a:1021265303283

Cited by 12 publications

(1 citation statement)

References 8 publications

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“…When readmission numbers are high, it is generally interpreted as an indicator of poor treatment (Banks et al, 1998). Readmissions, specifically rapid or frequent readmissions, are costly and disruptive to a patient's life and consume time for the multidisciplinary teams charged with treating these patients.…”

Section: Readmission Predictors -Static and Modifiablementioning

confidence: 99%

Rehospitalization risk factors for mental health and substance use in Northern British Columbia

Campbell¹

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Mental health and substance use (MH&SU) rehospitalization rates are used as indicators of treatment quality, to reduce costs, and measure efficacy. Research on this topic in rural Canadian hospitals and communities is lacking. This study used secondary data on 5159 patients (age 15 and older) hospitalized with International Classification of Disease (ICD) F code MH&SU diagnosis. These patients had 9103 admissions to 18 hospitals in Northern British Columbia during a five-year period, April 1st, 2010 through March 31st, 2015. ANOVA and Tukey Post Hoc tests were used to examine associations of two performance measures with five patient factors; community size, Indigenous culture, relationship status, employment status, and ICD F code diagnoses. The first measure was number of hospital readmissions. Of the 5159 patients with 9103 admissions, 3482 (67.6%) had one hospital admission during the five-year period. The remaining 1677 (32.4%) patients had 3944 (43.3%) of the hospitalizations). Patients whose cultural identity was Indigenous had over-representation and increased readmissions. Patients who were single and never in a relationship had increased hospitalizations. Patients whose ICD F coding for schizophrenia or psychosis had increased hospitalizations. The second measure was wait time for community MH&SU follow-up. Of the 5159 patients, 4512 (87.5%) had contact with community MH&SU during the five-years. Urban communities with specialized MH&SU services had reduced wait times for follow up. Patients whose cultural identity was Indigenous had longer wait times for community MH&SU follow-up. Patients who were divorced or separated had longer wait times. Patients with ICD F coding for schizophrenia or psychosis had shorter wait times for follow-up. The relationship between hospital readmission and community MH&SU follow-up was examined using logistic regression with the five factors. An inverse relationship was found between the two performance measures. Patients who did not have community MH&SU follow-up within 30 days had reduced odds ratio of readmissions, whereas patients who had follow-up within 30 days had increased odds ratio for readmissions. Although the study finds support for patient risk factors, evidence suggests approaches like a Decision Support Tool (DST) might provide reliability for intervention, and resource planning, as well as timely intervention.

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Section: Readmission Predictors -Static and Modifiablementioning

confidence: 99%

Rehospitalization risk factors for mental health and substance use in Northern British Columbia

Campbell¹

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Probabilistic population estimation of the size and overlap of data sets based on date of birth

Banks

Pandiani

2001

Statistics in Medicine

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Probabilistic population estimation is a statistical procedure for deriving unduplicated counts of the number of people represented in data sets that do not include unique person identifiers and the number of people shared by data sets that do not share personal identifiers. Because the procedure relies on anonymous data sets, the personal privacy of individuals and the confidentiality of medical records is protected. This paper describes the mathematics of probabilistic population estimation, and applies the procedure to an important contemporary public policy issue.

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Utilization of local jails and general hospitals by state psychiatric center patients

Banks

Stone

Pandiani

et al. 2000

The Journal of Behavioral Health Services & Research

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The idea that the deinstitutionalization of state psychiatric centers has resulted in increased utilization of general hospitals and correctional facilities by people with severe and persistent mental illness is widely held. This hypothesis of trans-institutionalization was tested by examining hospitalization and incarceration rates of people who had been or would be institutionalized in state psychiatric centers in 16 upstate New York counties. The results do not support the hypothesis of trans-institutionalization. Assumptions underlying the hypothesis are examined, potential explanations for the observed patterns are discussed, and areas for further research are suggested.

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Cited by 12 publications

References 8 publications

Rehospitalization risk factors for mental health and substance use in Northern British Columbia

Rehospitalization risk factors for mental health and substance use in Northern British Columbia

Probabilistic population estimation of the size and overlap of data sets based on date of birth

Utilization of local jails and general hospitals by state psychiatric center patients

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