Program characteristics and readmission among older substance abuse patients: comparisons with middle-aged and younger patients

Readmission of Patients to Acute Psychiatric Hospitals: Influential Factors and Interventions to Reduce Psychiatric Readmission Rates

Background: Appropriate and adequate treatment of psychiatric conditions in the community or at first presentation to the hospital may prevent rehospitalization. Information about hospital readmission factors may help to reduce readmission rates. This scoping review sought to examine the readmission of patients to acute psychiatric hospitals to determine predictors and interventions to reduce psychiatric readmission rates. Method: A scoping review was conducted in eleven bibliographic databases to identify the relevant peer-reviewed studies. Two reviewers independently assessed full-text articles, and a screening process was undertaken to identify studies for inclusion in the review. PRISMA checklist was adopted, and with the Covidence software, 75 articles were eligible for review. Data extraction was conducted, collated, summarized, and findings reported. Result: 75 articles were analyzed. The review shows that learning disabilities, developmental delays, alcohol, drug, and substance abuse, were crucial factors that increased the risk of readmission. Greater access to mental health services in residential treatment and improved crisis intervention in congregate care settings were indicated as factors that reduce the risk of readmission. Conclusion: High rates of readmission may adversely impact healthcare spending. This study suggests a need for focused health policies to address readmission factors and improve community-based care.

Clinical and organizational factors predicting readmission for mental health patients across Italy

PURPOSE

The aims of our study are: to explore rehospitalization in mental health services across Italian regions, Local Health Districts (LHDs), and hospitals; to examine the predictive power of different clinical and organizational factors.

METHODS

The data set included adult patients resident in Italy discharged from a general hospital episode with a main psychiatric diagnosis in 2012. Independent variables at the individual, hospital, LHD, and region levels were used. Outcome variables were individual-level readmission and LHD-level readmission rate to any hospital at 1-year follow-up. The association with readmission of each variable was assessed through both single- and multi-level logistic regression; descriptive statistics were provided to assess geographical variation. Relevance of contextual effects was investigated through a series of random-effects regressions without covariates.

RESULTS

The national 1-year readmission rate was 43.0%, with a cross-regional coefficient of variation of 6.28%. Predictors of readmission were: admission in the same LHD as residence, psychotic disorder, higher length of stay (LoS), higher rate of public beds in the LHD; protective factors were: young age, involuntary admission, and intermediate number of public healthcare staff at the LHD level. Contextual factors turned out to affect readmission only to a limited degree.

CONCLUSIONS

Homogeneity of readmission rates across regions, LHDs, hospitals, and groups of patients may be considered as a positive feature in terms of equity of the mental healthcare system. Our results highlight that readmission is mainly determined by individual-level factors. Future research is needed to better explore the relationship between readmission and LoS, discharge decision, and resource availability.

Patient-Level Predictors of Psychiatric Readmission in Substance Use Disorders

Repeated psychiatric readmissions are a particular challenge in the treatment of substance use disorders and are associated with substantial burden for patients and their associates and for healthcare providers. Factors affecting readmission rates are heterogeneous and need to be identified to better allocate resources. Within the Swiss healthcare system, such data on substance use disorder patients are largely missing. Understanding these factors might bear important implications for future healthcare planning. Thus here, we examine risk factors of inpatient readmission. We retrospectively analyzed all admissions to the hospital's department of addictive disorders in the year 2016. Patients included in the study were followed over a period of 1 year after discharge regarding readmissions to the clinic. Besides the demographic, social, and economic data, we extracted data concerning patient history, admission, and discharge as well as clinical data regarding type and number of substances abused and comorbid diagnoses. In order to describe severity of cases, we furthermore included the scores of the Health of the Nation Outcome Scale (HoNOS) at admission and at discharge as documented in the medical database. Of the 554 patients included in the study, 228 (41.2%) were readmitted within 12 months. Previous admissions, concomitant use of different substances, presence of psychosis or mania, and a higher severity score at discharge increased the likelihood of readmission. The odds for readmission were furthermore higher in patients not being married, living alone, and being unemployed. When all (bivariate) statistically significant factors are included into a logistic regression model, the previous number of admissions and the HoNOS clinical score at discharge significantly contributed to this model. Our findings stress that patients with higher symptom load at discharge are prone to be readmitted within 12 months. The same applies for patients with previous admissions. These findings suggest that the development of specific interventions to prevent premature discharge before satisfactory symptom remission, in particular in those patients with previous admissions in their patient history, might help to prevent readmissions.

Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature

BACKGROUND

High levels of hospital readmission (rehospitalisation rates) is widely used as indicator of a poor quality of care. This is sometimes also referred to as recidivism or heavy utilization. Previous studies have examined a number of factors likely to influence readmission, although a systematic review of research on post-discharge factors and readmissions has not been conducted so far. The main objective of this review was to identify frequently reported post-discharge factors and their effects on readmission rates.

METHODS

Studies on the association between post-discharge variables and readmission after an index discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management, OpenGrey and Google Scholar. Relevant articles published between January 1990 and June 2014 were included. A systematic approach was used to extract and organize in categories the information about post-discharge factors associated with readmission rates.

RESULTS

Of the 760 articles identified by the initial search, 80 were selected for this review which included a total number of 59 different predictors of psychiatric readmission. Subsequently these were grouped into four categories: 1) individual vulnerability factors, 2) aftercare related factors, 3) community care and service responsiveness, and 4) contextual factors and social support. Individual factors were addressed in 58 papers and were found to be significant in 37 of these, aftercare factors were significant in 30 out of the 45 papers, community care and social support factors were significant in 21 out of 31 papers addressing these while contextual factors and social support were significant in all seven papers which studied them.

CONCLUSIONS

This review represents a first attempt at providing an overview of post-discharge factors previously studied in association with readmission. Hence, by mapping out the current research in the area, it highlights the gaps in research and it provides guidance future studies in the area.

Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature

BACKGROUND

Readmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients.

METHODS

Studies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses.

RESULTS

Of the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients' demographic, social and economic characteristics; patients' clinical characteristics; patients' clinical history; patients' attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients' clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature.

CONCLUSIONS

The results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.

Psychiatric readmissions and their association with environmental and health system characteristics: a systematic review of the literature

BACKGROUND

Psychiatric readmissions have been studied at length. However, knowledge about how environmental and health system characteristics affect readmission rates is scarce. This paper systemically reviews and discusses the impact of health and social systems as well as environmental characteristics for readmission after discharge from inpatient care for patients with a psychiatric diagnosis.

METHODS

Comprehensive literature searches were conducted in the electronic bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. In addition, Google Scholar was utilised. Relevant publications published between January 1990 and June 2014 were included. No restrictions regarding language or publication status were imposed. A qualitative synthesis of the included studies was performed. Variables describing system and environmental characteristics were grouped into three groups: those capturing regulation, financing system and governance; those capturing capacity, organisation and structure; and those capturing environmental variables.

RESULTS

Of the 734 unique articles identified in the original search, 35 were included in the study. There is a limited number of studies on psychiatric readmissions and their association with environmental and health system characteristics. Even though the review reveals an extensive list of characteristics studied, most characteristics appear in a very limited number of articles. The most frequently studied characteristics are related to location (local area, district/region/country). In most cases area differences were found, providing strong indication that the risk of readmission not only relates to patient characteristics but also to system and/or environmental factors that vary between areas. The literature also points in the direction of a negative association of institutional length of stay and community aftercare with readmission for psychiatric patients.

CONCLUSION

This review shows that analyses of system level variables are scarce. Furthermore they differ with respect to purpose, choice of system characteristics and the way these characteristics are measured. The lack of studies looking at the relationship between readmissions and provider payment models is striking. Without the link to provider payment models and other health system characteristics related to regulation, financing system and governance structure it becomes more difficult to draw policy implications from these analyses.

Dual diagnosis in older adults: a review

Dual diagnosis is associated with frequent relapse, poor treatment engagement and overall unsatisfactory treatment outcomes. A comprehensive review of the contemporary literature examining this issue was conducted, finding a paucity of literature concerning dual diagnosis in older adults. Of the literature appraised for this review, a number of studies examined US Veteran's Affairs populations, which were largely male. Studies concerning older mental health populations were scarce. During the literature search, a number of background studies that influenced contemporary research regarding dual diagnosis in older adults were found; these studies were examined regarding their contribution to contemporary paradigms concerning older adults with co-occurring mental illness and substance use disorders. This review presents the results of the contemporary literature concerning dual diagnosis in older adults. Several recurring themes emerge from the literature, including the notion of a statistically small population that, in absolute terms, represents a sizeable number of individuals coming to the attention of aged mental health services in the future. Additionally, the potential for under-diagnosis in this cohort is highlighted, potentially creating a hidden population of older adults with dual diagnosis.

A profile of the substance abuse treatment industry: organization, costs, and treatment completion

Nationally representative data from the Alcohol and Drug Services Study, conducted between 1996 and 1999, are used to explore the structure and operation of the substance user treatment industry in the United States. The empirical relationship among client (N=4945) retention and completion, types and use of counseling and medical personnel, diagnostic mix, client demographics, the level of services used, and the cost of treatment in different treatment settings is discussed using tabular presentation and tests of significance. Limitations of the analysis are outlined. This information and analysis are expected to help the research community understand the potential of the ADSS data in addressing many important questions about substance user treatment.

An exploratory analysis of treatment completion and client and organizational factors using hierarchical linear modeling

Data from the Alcohol and Drug Services Study (ADSS) are used to analyze the structure and operation of the substance abuse treatment industry in the United States. Published literature contains little systematic empirical analysis of the interaction between organizational characteristics and treatment outcomes. This paper addresses that deficit. It develops and tests a hierarchical linear model (HLM) to address questions about the empirical relationship between treatment inputs (industry costs, types and use of counseling and medical personnel, diagnosis mix, patient demographics, and the nature and level of services used in substance abuse treatment), and patient outcomes (retention and treatment completion rates). The paper adds to the literature by demonstrating a direct and statistically significant link between treatment completion and the organizational and staffing structure of the treatment setting. Related reimbursement issues, questions for future analysis, and limitations of the ADSS for this analysis are discussed.

Older and younger patients with substance use disorders: outpatient mental health service use and functioning over a 12-month interval

This observational study compared a nationwide sample of older patients with substance use disorders (n = 3,598; age > 55) with a demographically and diagnostically matched sample of younger patients on initial functioning, subsequent outpatient mental health service use, and 12-month follow-up outcomes. Older patents were initially functioning a well as or better than younger patients according to substance use, psychiatric, family, and legal criteria. The groups received comparable amounts of outpatient mental health care. At a 12-month follow-up, older patients generally had better substance use and functioning outcomes than did younger patients. The findings suggest that older patients with substance use disorders are keeping pace with demographically and diagnostically comparable younger patients in obtaining specialized outpatient mental health services and that they have positive treatment prognoses.

Prognosis of older patients in mixed-age alcoholism treatment programs

Older patients were compared with matched groups of younger and middle-aged patients in inpatient alcohol treatment programs (N=432 in each age group). Compared with other patients, older patients had poorer physical health and lower cognitive status at treatment entry, but they were drinking less and reported fewer drinking-related problems, fewer psychological symptoms, more social support, more adaptive coping, and fewer barriers to abstinence. Older patients had positive views of the programs and, except for less family therapy and problem-focused counseling, received comparable treatment to that received by other patients. At discharge, older patients showed significant change in most areas targeted for treatment. Better initial status was the strongest predictor of better discharge functioning. Patients with higher cognitive functioning and stronger treatment motivation and those who experienced more interpersonal support and who received more specialized treatment services showed better-than-expected improvement. The age groups showed similar outcomes, prognostic factors, and response to different treatment orientations.

Predictors and outcomes of outpatient mental health care: a 4-year prospective study of elderly Medicare patients with substance use disorders

BACKGROUND

Many elderly inpatients have substance use disorders; recent treatment guidelines suggest that they should receive regular outpatient mental health care after discharge from hospital.

OBJECTIVE

The prevalence, predictors, and outcomes of outpatient mental health care obtained by elderly Medicare patients with substance use disorders were examined.

RESEARCH DESIGN

A longitudinal prospective follow-up was performed.

SUBJECTS

Data from Medicare Provider Analysis and Review Record and Part B Medicare Annual Data were used to identify elderly inpatients with substance use disorders (n = 4,961) and determine their outpatient mental health care 4 years following hospital discharge.

RESULTS

Only 12% to 17% of surviving elderly substance abuse patients received outpatient mental health care in each of 4 years after discharge. Cumulatively over 4 years, approximately 18% of surviving patients obtained diagnostic/evaluative mental health services, 22% obtained psychotherapy, and 9% received medication management. Of patients who obtained outpatient mental health care, 57% made 10 or fewer outpatient mental health visits over the entire 4 years. Younger, non-black, and female patients were more likely to obtain mental health outpatient care, as were patients with prior substance-related hospitalizations, dual diagnoses, and fewer medical conditions. Prompt outpatient mental health care was predictively associated with higher likelihood of mental health readmissions and, among patients with drug disorders, lower mortality.

CONCLUSION

Very few elderly Medicare substance abuse patients obtain outpatient mental health care, perhaps because of health or economic barriers.

Program factors and treatment outcomes in drug dependence treatment: an examination using meta-analysis

In comparison with studies of client characteristics and treatment processes, limited research has been conducted on how program features of drug dependence treatment programs may affect client outcomes. Of particular interest are those characteristics of programs that may have a clinically significant impact on outcomes and that are amenable to change within programs. This study examines the impact of various program factors on client outcomes using data from a meta-analysis of drug dependence effectiveness studies (n = 143). Because of heterogeneity among studies, the data are analyzed in terms of type of outcome variable (drug use and crime), type of design (single-group and treatment-comparison group), and type of treatment (methadone maintenance, therapeutic communities, outpatient drug free, and detoxification). For the more valid treatment-comparison group studies, the weighted mean effect size was 0.29 for drug use outcomes and 0.17 for crime outcomes. Program factors found to be significantly correlated with effect size in one or more modalities were decade of treatment, researcher involvement in treatment delivery, maturity of the program, counselor/client ratio, treatment implementation, treatment exposure, and methadone dosage.

Community residential program policies, services, and treatment orientations influence patients' participation in treatment

The study sought to identify community residential program characteristics that predict patients' participation in treatment and to examine the association between these characteristics, participation, and outcomes at discharge from treatment. A sample of 2,790 patients with substance abuse disorders was assessed at entry into and discharge from 87 community residential facilities (CRFs). The CRFs were assessed using a survey that obtained information about program size and staffing, policies and services, and treatment orientation. High expectations for patients' functioning, clear policies, structured programming, a high proportion of staff in recovery from substance abuse problems, and more emphasis on psychosocial treatment were associated with patients' participation in program services and activities. Higher expectations for functioning and a strong treatment orientation enhanced participation more among better functioning patients; program support and structure enhanced participation more among impaired patients. Participation in treatment independently predicted outcomes at discharge even after both patient and program characteristics were controlled. These findings show that community residential program policies, services, and treatment orientations play a key role in influencing patients' engagement in treatment, which, in turn, improves patients' outcomes at discharge.