Psychiatric Readmission Rates Research Articles

The Effect of Pharmacy-Led Medication Reconciliation on Odds of Psychiatric Relapse at a Community Hospital

Purpose: Individuals with psychiatric disorders are at increased risk for treatment non-adherence and related complications, especially during transitions of care. Medication reconciliation is now a standard process during hospital admissions that is uniformly recommended by international organizations to aid in safe and effective care transitions. Pharmacy-led medication reconciliation (PMR) practices are poised to represent a standardized method of reconciliation attempt within this underserved population with complex medication histories. Methods: A retrospective cross-sectional study using medical chart review was conducted for all adults admitted to the inpatient psychiatric service at a community hospital in Buffalo, NY, during 2 months in 2018. Outcomes were 30- and 180-day psychiatric readmission rates, 30- and 180-day visit rates to the outpatient comprehensive psychiatric emergency program (CPEP), and composite 30- and 180-day relapse. Receipt of pharmacy-led medication reconciliation was identified from pharmacy documentation in the electronic medical record. Results: 78% of patient’s medication lists on admission were reconciled, with 49% of reconciliations made by the inpatient pharmacy. Presence of a PMR did not alter the odds of inpatient readmission alone, however patients without a PMR were found to have 2.13 times higher odds of visiting the hospital’s outpatient CPEP within 30-days (P = .012) and 1.9 times higher odds of any composite psychiatric relapse within 30-days (P = .024). Conclusions: Implementation of hospital-wide pharmacy-led medication reconciliation on admission may help reduce psychiatric relapse across multiple care settings.

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.

Psychiatric readmission rates in a multi-level mental health care system \u2013 a descriptive population cohort study

BackgroundReadmission rates are frequently used as a quality indicator for health care, yet their validity for evaluating quality is unclear. Published research on variables affecting readmission to psychiatric hospitals have been inconsistent. The Norwegian specialist mental health care system is characterized by a multi-level structure; hospitals providing specialized -largely unplanned care and district psychiatric centers (DPCs) providing generalized -more often planned care. In certain service systems, readmission may be an integral part of individual patients’ treatment plan.The aim of the present study was to describe and examine the task division in a multi-level health care system. This we did through describing differences in patient population (age, sex, diagnosis, substance abuse comorbidity and length of stay) and admissions types (unplanned vs. planned) treated at different levels (hospital, DPC or both), and by examining whether readmission risk differ according to type and place of treatment of index-admission and travel-time to nearest hospital and DPC.MethodsIn this population-based cohort study using administrative data we included all individuals aged 18 and older who were discharged from psychiatric inpatient care with an ICD-10 diagnosis F2-F6 (“functional mental disorders”) in 2012. Selecting each individual’s first discharge during 2012 as index gave N = 16,185 for analyses following exclusions. Analysis of readmission risk were done using Kaplan-Maier failure curves.ResultsOverall, 15.1 and 47.7% of patients were readmitted within 30 and 365 days, respectively. Unplanned admission patients were more likely to be readmitted within 30 days than planned patients. Those transferred between hospital and DPC during index admission were more likely to be readmitted within 365 days, and to experience planned readmission. Patients with short travel time were more likely to have unplanned readmission, while patients with long travel time were more likely to have planned readmission.ConclusionsDPCs and hospitals fill different purposes in the Norwegian health care system, which is reflected in different patient populations. Differences in short term readmission rates between hospitals and DPCs disappeared when type of admission (unplanned/planned) was considered. The results stress the importance of addressing differences in organisation and task distribution when comparing readmission rates between mental health systems.

Factors associated with 30-day and 1-year readmission among psychiatric inpatients in Beijing China: a retrospective, medical record-based analysis

BackgroundPsychiatric readmissions negatively impact patients and their families while increasing healthcare costs. This study aimed at investigating factors associated with psychiatric readmissions within 30 days and 1 year of the index admissions and exploring the possibilities of monitoring and improving psychiatric care quality in China.MethodsData on index admission, subsequent admission(s), clinical and hospital-related factors were extracted in the inpatient medical record database covering 10 secondary and tertiary psychiatric hospitals in Beijing, China. Logistic regressions were used to examine the associations between 30-day and 1-year readmissions plus frequent readmissions (≥3 times/year), and clinical variables as well as hospital characteristics.ResultsThe 30-day and 1-year psychiatric readmission rates were 16.69% (1289/7724) and 33.79% (2492/7374) respectively. 746/2492 patients (29.34%) were readmitted 3 times or more within a year (frequent readmissions). Factors significantly associated with the risk of both 30-day and 1-year readmission were residing in an urban area, having medical comorbidities, previous psychiatric admission(s), length of stay > 60 days in the index admission and being treated in tertiary hospitals (p < 0.001). Male patients were more likely to have frequent readmissions (OR 1.30, 95%CI 1.04–1.64). Receiving electroconvulsive therapy (ECT) was significantly associated with a lower risk of 30-day readmission (OR 0.72, 95%CI 0.56–0.91) and frequent readmissions (OR 0.60, 95%CI 0.40–0.91).ConclusionMore than 30% of the psychiatric inpatients were readmitted within 1 year. Urban residents, those with medical comorbidities and previous psychiatric admission(s) or a longer length of stay were more likely to be readmitted, and men are more likely to be frequently readmitted. ECT treatment may reduce the likelihood of 30-day readmission and frequent admissions. Targeted interventions should be designed and piloted to effectively monitor and reduce psychiatric readmissions.

Factors Associated With Multiple Psychiatric Readmissions for Youth With Mood Disorders

Inpatient psychiatric readmission rates are increasingly considered indicators of quality of care. This study builds upon prior research by examining patient-, hospital-, and community-level factors associated with single and multiple readmissions for youth. A retrospective cohort study was conducted using Medicaid claims data from four states supplemented with the American Hospital Association survey, the Area Resource File, and the National Survey of Mental Health Treatment Services. Multinomial logistic regression examined patient-, hospital-, and community-level factors that were associated with inpatient psychiatric readmission for 6,797 Medicaid-eligible youth with a primary diagnosis of mood disorder using a three-level nominal dependent variable coded as no readmission, one readmission, and two or more readmissions within 6 months after discharge. Six months after initial discharge, 941 youth (13.8%) were readmitted once and 471 (6.9%) were readmitted two or more times. The odds of single or multiple readmissions were significantly higher (p< .05) for youth classified as disabled or in foster care, those with multiple psychiatric comorbidities, medical comorbidity, and prior psychiatric hospitalization. Treatment in hospitals with high percentage of Medicaid discharges and a high number of beds was associated with lower odds of readmission. There was a significant interaction between length of stay and outpatient mental health follow-up within 7 days of discharge. Patient- and hospital-level factors are associated with likelihood of both single and multiple youth inpatient psychiatric readmissions, suggesting potential risk markers for psychiatric readmission.

Patient feedback as a quality improvement strategy in an acute care, inpatient unit: An investigation of outcome and readmission rates.

High psychiatric readmission rates continue while evidence suggests that care is not perceived by patients as "patient centered." Research has focused on aftercare strategies with little attention to the inpatient treatment itself as an intervention to reduce readmission rates. Quality improvement strategies based on patient-centered care may offer an alternative. We evaluated outcomes and readmission rates using a benchmarking methodology with a naturalistic data set from an inpatient psychiatric facility (N = 2,247) that used a quality-improvement strategy called systematic patient feedback. Benchmarks were constructed using randomized clinical trials (RCTs) from inpatient treatment for depression, RCTs from patient feedback in outpatient settings, and national data on psychiatric hospital readmission rates. A systematic patient feedback system, the Partners for Change Outcome Management System (PCOMS), was used. Overall pre-post effect sizes were d = 1.33 and d = 1.38 for patients diagnosed with a mood disorder. These effect sizes were statistically equivalent to RCT benchmarks for feedback and depression. Readmission rates were 6.1% (30 days), 9.5% (60 days), and 16.4% (180 days), all lower than national benchmarks. We also found that patients who achieved clinically significant treatment outcomes were less likely to be readmitted. We tentatively suggest that a focus on real-time patient outcomes as well as care that is "patient centered" may provide a path toward lower readmission rates in addition to other evidence-based strategies after discharge. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Impact of Physician Follow-Up Care on Psychiatric Readmission Rates in a Population-Based Sample of Patients With Schizophrenia.

The study evaluated the association between physician follow-up within 30 days after hospital discharge and psychiatric readmission within the subsequent 180 days. Among inpatients with schizophrenia who were discharged between 2007 and 2012 in Ontario (N=19,132), those who had a 30-day follow-up visit with a primary care physician (PCP) only, a psychiatrist only, or both were compared with a no-follow-up group. The primary outcome was psychiatric readmission in the subsequent 180 days. Secondary analyses stratified the sample on the basis of readmission risk at discharge. About 65% of patients had follow-up care within 30 days postdischarge. Psychiatric readmission rates were similar among patients with any physician follow-up and significantly lower than among those with no follow-up (26%): PCP only: 22%; adjusted hazard ratio [aHR]=.88, 95% confidence interval [CI]=.81-.96; psychiatrist only, 22%; aHR=.84, CI=.77-.90; both, 21%, aHR=.82, CI=.75-.90). In stratified analyses, 66% of patients were in the category at highest risk of psychiatric readmission, and the effect of follow-up with any physician was significant for these patients, compared with high-readmission risk patients with no follow-up, who had a 29% readmission rate (PCP only, 20% readmission rate, aHR=.85, CI=.77-.94; psychiatrist only, 29%, aHR=.84, CI=.77-.92; both, 17%, aHR=.81, CI=.73-.90). Timely physician follow-up was associated with reduced risk of psychiatric readmissions, with the greatest reduction among patients at high risk of readmission. Because more than one-third of patients had no physician visit within 30 days postdischarge, improving physician follow-up may help reduce psychiatric readmission rates.

Mental capacity and capacity to consent: multicentric study in a involuntary psychiatric hospitalized patients sample

The purpose of this longitudinal observational study is to evaluate the course and impact of clinical, social, and behavioral variables on the involuntary readmission of psychiatric patients, during a 6-months follow-up after discharge from a prior involuntary hospitalization. N=131 involuntarily committed psychiatric patients were enrolled in three university hospitals (Bari n=57; Perugia n=42; Rome n=32). At the first assessment cognitive functioning (MMSE), psychiatric symptoms severity (BPRS-E), capacity to consent to treatment (MacCAT-T) as well as principal socio-demographic and clinical variables were collected. At 6-months follow-up, we collected data concerning involuntary psychiatric readmissions, pharmacotherapy adherence, new deliberate self-harm or harm to others as well as having been legally prosecuted. N=120 patients were reevaluated at follow-up (M=188 days, SD=12.6); among these n=15 (12.5%) have had a new involuntary psychiatric admission due to an acute mental disorder. Re-hospitalized patients showed higher rates of harm to others (p<0.05) and legal prosecution (p<0.05); there was moreover a trend toward higher pharmacological dropout rates in involuntarily rehospitalized patients. We found no differences between the two groups in baseline psychiatric symptoms severity and cognitive functioning, whereas involuntary re-hospitalization was associated with more frequent involuntary hospitalization during last year (p<0.05) and higher MacCAT-T reasoning (p<0.05). Involuntary psychiatric readmission rates proved to be poorly associated with clinical features assessed during previous hospitalization. Our data suggest that social and legal factors, including those connected to patients' dangerousness, could play a role also in a civil commitment system based solely on the need for treatment.

Factors differentially associated with early readmission at a university teaching psychiatric hospital.

The rate of psychiatric readmissions within 30 days of discharge is a well-established behavioural health system performance measure linked to the quality of inpatient hospital care as well as to access to community-based aftercare services. The purpose of this study was to examine the factors differentially associated with earlier readmission among a sample of patients (n = 588) readmitted within 30 days of discharge to a university teaching psychiatric hospital from 2001 to 2010. Quality assurance interviews were conducted with patients readmitted within 30 days of discharge. The interview data were merged with clinical symptom and electronic medical record data. Multinomial logistic regression analysis was used to examine readmission within 7 days and from 8 to 14 days compared with 15-30 days after discharge while controlling for socio-demographic and treatment variables previously associated with psychiatric readmission. Multiple clinical, treatment and patient-reported factors were differentially associated with earlier readmission. In particular, lack of engagement in post-discharge aftercare services was a strong predictor of earlier readmission. Strategies are needed to improve patients' transition from inpatient psychiatric hospitalization to aftercare services. Psychiatric hospitals attempting to reduce very early readmissions should seek to implement innovative transitional care initiatives targeting both patient and treatment factors.

The relationship of illness management and recovery to state hospital readmission.

The current study examined the association between number of hours attended of the Illness Management and Recovery (IMR) program and psychiatric readmission rates after discharge from a state psychiatric hospital. The study used archival data, N = 1186, from a large northeastern state psychiatric hospital in the United States. A Cox's regression survival analyses was conducted, adjusting for extreme outliers and controlling for sociodemographic covariates, to examine the association between different amounts of IMR and the risk for returning to the hospital. After controlling for the client characteristics of age, sex, marital status, psychiatric diagnosis, and Global Assessment of Functioning score at discharge, as well as controlling for mean daily dose of generic hospital programming and the number of days of hospitalization, it was found that, for each hour of IMR, there was an associated 1.1% reduction in the risk for returning to the hospital. This suggests that participation in IMR while in inpatient settings may assist individuals in reducing their risk for returning to the hospital.

Hospital Readmission and Its Correlates Among Psychiatric Patients in Taiwan

Back to table of contents Previous article Next article LetterFull AccessLetterChih-Ming Lin Ph.D.Chung-Yi Li Ph.D.Chih-Ming Lin Ph.D.Search for more papers by this authorChung-Yi Li Ph.D.Search for more papers by this authorPublished Online:1 Sep 2008https://doi.org/10.1176/ps.2008.59.9.1064AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail Hospital Readmission and Its Correlates Among Psychiatric Patients in TaiwanTo the Editor: A high readmission rate among persons discharged from inpatient psychiatric treatment may reflect the fact that the community lacks adequate accommodations for such patients and can be used as an indicator of inadequacy or inappropriateness of community-based aftercare ( 1 ). A wide range of psychiatric readmission rates has been reported in the literature, mainly because studies use various time intervals. Reported rates have ranged from 10% readmission within one month after hospital discharge to as high as 47% within one year ( 2 , 3 ). Data on readmission of psychiatric patients in Asian societies are limited. We used a registry-based cohort design to estimate the short-term readmission rate—within 60 days—among 1,813 patients discharged from a psychiatric hospital between November 2003 and October 2005 in northwestern Taiwan.Readmission rates were 6% within 14 days, 9% within 30 days, and 12% within 60 days. Patients who received the scheduled ambulatory follow-up had a significantly higher risk of readmission within 60 days, after adjustment for potential confounders (adjusted odds ratio [AOR]=1.89, 95% confidence interval [CI]=1.33–2.69), and those who attended community rehabilitation programs were significantly less likely to be readmitted (AOR=.33, CI=.12–.96). Less impaired patients may be more likely to be referred to rehabilitation programs, which may partly explain the lower readmission rate.Among patients with schizophrenia, those who had a hospital stay longer than 60 days had significantly increased risk of readmission within 14 days (AOR=1.96, CI=1.06–3.62) and within 30 days (AOR=1.81, CI=1.07–3.09) compared with those whose duration of stay was between 30 and 60 days. Patients who are more impaired may need to stay longer in the hospital, and more impaired patients may be at an increased risk of rehospitalization. Similar to findings from studies in Western societies, our results indicate that about one-tenth of psychiatric patients in Taiwan were readmitted within one month after discharge ( 4 ). The readmission rate increased only slightly (by 3%) by two months after discharge. Our study also showed a positive association between attending a follow-up ambulatory care visit and readmission, which is consistent with the report by Thompson and colleagues ( 5 ), which concluded that patients who attended an initial ambulatory care visit after discharge were likely to seek outpatient care on a regular basis. These patients may either have a poor prognosis or frequent contact with psychiatrists; the closer supervision associated with aftercare may lead to a greater likelihood of rehospitalization. Although the readmission rate was not substantially high in Taiwan, local clinicians and health policy makers should nevertheless acknowledge the importance of rehospitalization among psychiatric patients. Future investigations should explore specific forms of aftercare and types of services that can ensure that discharged psychiatric patients remain in the community. Moreover, better management of patients with schizophrenia who have longer hospital stays may help to reduce the likelihood of readmission in the first month after discharge.Acknowledgments and disclosuresThis study was supported by grant NSC-96-2314-B-130-002 from the National Scientific Council of Taiwan.The authors report no competing interests.Dr. Lin is affiliated with the Department of Healthcare Information and Management, Ming Chuan University, Taipei, Taiwan. Dr. Li is with the Department of Health Care Management, National Taipei College of Nursing.

Patterns of inpatient care for immigrants in Switzerland

Migration has become a major political and social concern in West European societies. A case-control method was used to analyse the utilisation of inpatient mental health services by immigrants from a catchment area in Switzerland over a 7-year period. Compared to natives, immigrants had fewer psychiatric hospitalisations, but more emergency and compulsory admissions. During inpatient treatment, they received less psycho-, ergo- and physiotherapy. Other therapies as well as compulsory measures were at comparable rates, as was the frequency of irregular discharge. They spent shorter periods as inpatients and the rate of psychiatric readmissions was significantly lower. Comparison of different countries of origin revealed that only patients from West and North Europe were comparable to natives regarding type of referral, inpatient treatment, and longitudinal measures of service utilisation. Even after accounting for effects of social class, immigrants from South Europe, former Yugoslavia, Turkey, East Europe and more distant countries spent significantly shorter time in inpatient treatment, compared to Swiss control patients. Results of this study clearly point to an underutilisation of inpatient facilities among immigrants with mental disorders, and to disadvantages in psychiatric inpatient care. This, however, does not pertain to all foreign patients to the same extent: inequalities of mental health service use are particularly pronounced in immigrants from more distant countries.

Some correlates of psychiatric readmission

Although psychiatric readmission rates have been dramatically accelerated in the past decade, little is known about readmitted patients. For a random sample of 1002 patients, the number of admissions was related to personal and social characteristics, prehospital services, admission experiences, inhospital services, and patient movement. Changes were found to be associated with an increase in number of admissions. Twenty out of 25 variables were significantly related to admission status. Eight were directly attributable to admission status, 10 were functions of diagnosis, and in 2 it was difficult to account for the relationship.