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1.
BMC Psychiatry ; 17(1): 227, 2017 06 24.
Article in English | MEDLINE | ID: mdl-28646857

ABSTRACT

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.


Subject(s)
Hospitals, Psychiatric/trends , Mental Disorders/diagnosis , Patient Discharge/trends , Patient Readmission/trends , Humans , Mental Disorders/epidemiology , Mental Disorders/therapy , Predictive Value of Tests
2.
BMC Psychiatry ; 16(1): 449, 2016 Dec 16.
Article in English | MEDLINE | ID: mdl-27986079

ABSTRACT

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.


Subject(s)
Continuity of Patient Care/statistics & numerical data , Mental Disorders/therapy , Patient Discharge/statistics & numerical data , Patient Readmission/statistics & numerical data , Female , Hospitalization/statistics & numerical data , Humans , Inpatients , Male , Multivariate Analysis , Prognosis , Psychiatric Department, Hospital , Risk Factors
3.
Eur J Pain ; 18(6): 883-92, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24338923

ABSTRACT

BACKGROUND: Pain and insomnia are both independently associated with work disability. Although pain and insomnia often co-occur, their joint associations with subsequent sickness absence and disability retirement have not been studied. We aimed to examine these associations in two prospective occupational cohorts while considering key covariates. METHODS: Norwegian Hordaland Health Study (n = 6892, 59% women) and Finnish Helsinki Health Study (n = 6060, 78% women) data were used. Those with only pain, only insomnia or both conditions at baseline were compared with those with no pain and no insomnia. Work disability outcomes were derived from national and employers' register data. Medically certified sickness absence spells lasting 2 weeks or more and all-cause disability retirement were examined. Register-based follow-up was 4 years for sickness absence and 5 years for disability retirement. Covariates were sex, age, marital status, education, smoking, alcohol use, body mass index and blood pressure. Poisson and Cox regression models were fitted. RESULTS: Both pain and insomnia were associated with subsequent sickness absence and disability retirement, but the associations were stronger for those reporting co-morbid pain and insomnia with support for a synergistic interaction effect, particularly regarding disability retirement. The associations were largely similar in both cohorts and remained after full adjustments. CONCLUSIONS: This study is the first to report the separate and combined effects of pain and insomnia on objective health outcomes. Common patterns observed in two separate cohorts suggest that the combination of pain and insomnia might be particularly relevant for subsequent disability retirement.


Subject(s)
Pain/epidemiology , Registries/statistics & numerical data , Retirement/statistics & numerical data , Sick Leave/statistics & numerical data , Sleep Initiation and Maintenance Disorders/epidemiology , Adult , Female , Finland/epidemiology , Humans , Male , Medical Record Linkage , Middle Aged , Norway/epidemiology
4.
J Affect Disord ; 141(2-3): 331-42, 2012 Dec 10.
Article in English | MEDLINE | ID: mdl-22520738

ABSTRACT

BACKGROUND: Socio-demographic factors predict the outcome of short-term psychotherapy (STT) in the treatment of mood and anxiety disorders, but information on the prediction for long long-term therapy (LPP) is lacking. We aimed to compare the prediction of changes in psychiatric symptoms afforded by socio-demographic factors across two treatment conditions, short- versus long-term psychotherapy. METHODS: In the Helsinki Psychotherapy Study, 326 outpatients with mood or anxiety disorders, aged 20-46 years, were randomly assigned to STT or LPP. Socio-demographic factors (i.e. age, gender, education, employment status, marital status, and living arrangement) were self-reported. Psychiatric symptoms were measured by the Symptom Check List, Global Severity Index (SCL-90-GSI) and Anxiety scale (SCL-90-Anx), and the Beck Depression Inventory (BDI) at baseline and seven times during a three-year follow-up period. RESULTS: Socio-demographic factors were found to predict symptom development during follow-up irrespective of the baseline symptom level. Patients in a relatively good position, i.e. married and highly educated patients benefited from STT, whereas patients in less advantaged positions, i.e. homemakers, lone parents, and divorced patients needed LPP or did not benefit from either therapy. In several categories of socio-demographic factors, the extent to which a patient's background predicted the outcome of the psychotherapy varied according to whether general, anxiety or depressive symptoms were studied. LIMITATIONS: We were unable to assess widows and pensioners. For ethical reasons, a no-treatment control group with a long follow-up could not be included in the study design. CONCLUSIONS: Socio-demographic factors may need to be considered in the selection of patients for short- and long-term therapy.


Subject(s)
Affect , Anxiety Disorders/therapy , Psychotherapy , Socioeconomic Factors , Adult , Anxiety Disorders/psychology , Female , Finland , Humans , Male , Middle Aged , Psychiatric Status Rating Scales , Psychotherapy, Brief , Treatment Outcome , Young Adult
5.
Eur Psychiatry ; 25(1): 1-7, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19553088

ABSTRACT

OBJECTIVES: Lifestyle is less favourable among individuals suffering from psychiatric disorders. We studied whether psychotherapy brings along changes in lifestyle and whether these changes differ between short-term and long-term psychodynamic psychotherapy (SPP and LPP) and solution-focused therapy (SFT). METHODS: A total of 326 outpatients, 20-46 years of age, with mood or anxiety disorder were randomly assigned to LPP, SPP and SFT. The lifestyle variables considered were alcohol consumption, smoking, body mass index (BMI), leisure time exercise and serum cholesterol. The patients were monitored for three years from the start of treatment. RESULTS: During the three-year follow-up, BMI and serum cholesterol rose statistically significantly although no statistically significant trends were shown for alcohol consumption, smoking or exercise. SPP showed a disadvantage of increased alcohol consumption and serum cholesterol level when compared with LPP. SFT showed an advantage of reduced smoking in comparison with SPP. DISCUSSION: Small therapy-specific changes in lifestyle may be a result from psychotherapy treatment. These lifestyle changes are apparently more common in short-term therapy. More studies are needed to verify these findings.


Subject(s)
Anxiety Disorders/therapy , Decision Making , Depressive Disorder/therapy , Life Style , Psychotherapy/methods , Adult , Alcohol Drinking/epidemiology , Anxiety Disorders/diagnosis , Anxiety Disorders/psychology , Depressive Disorder/diagnosis , Female , Humans , Male , Middle Aged , Severity of Illness Index , Smoking Cessation/statistics & numerical data , Time Factors , Young Adult
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