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The association between depressive symptoms in the community, non-psychiatric hospital admission and hospital outcomes: a systematic review.

ABSTRACT: This paper aims to systematically review observational studies that have analysed whether depressive symptoms in the community are associated with higher general hospital admissions, longer hospital stays and increased risk of re-admission.We identified prospective studies that looked at depressive symptoms in the community as a risk factor for non-psychiatric general hospital admissions, length of stay or risk of re-admission. The search was carried out on MEDLINE, PsycINFO, Cochrane Library Database, and followed up with contact with authors and scanning of reference lists.Eleven studies fulfilled our inclusion and exclusion criteria, and all were deemed to be of moderate to high quality. Meta-analysis of seven studies with relevant data suggested that depressive symptoms may be a predictor of subsequent admission to a general hospital in unadjusted analyses (RR=1.36, 95% CI: 1.28-1.44), but findings after adjustment for confounding variables were inconsistent. The narrative synthesis also reported depressive symptoms to be independently associated with longer length of stay, and higher re-admission risk.Depressive symptoms are associated with a higher risk of hospitalisation, longer length of stay and a higher re-admission risk. Some of these associations may be mediated by other factors, and should be explored in more details.

SUBMITTER: Prina AM

PROVIDER: S-EPMC4292984 | biostudies-other | 2015 Jan

REPOSITORIES: biostudies-other

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The association between depressive symptoms in the community, non-psychiatric hospital admission and hospital outcomes: a systematic review.

Prina A Matthew AM Cosco Theodore D TD Dening Tom T Beekman Aartjan A Brayne Carol C Huisman Martijn M

Journal of psychosomatic research 20141108 1

<h4>Objectives</h4>This paper aims to systematically review observational studies that have analysed whether depressive symptoms in the community are associated with higher general hospital admissions, longer hospital stays and increased risk of re-admission.<h4>Methods</h4>We identified prospective studies that looked at depressive symptoms in the community as a risk factor for non-psychiatric general hospital admissions, length of stay or risk of re-admission. The search was carried out on MED ...[more]

PMID: 25466985

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Project description:BackgroundRisk prediction models have been developed to identify those at increased risk for emergency admissions, which could facilitate targeted interventions in primary care to prevent these events.ObjectiveSystematic review of validated risk prediction models for predicting emergency hospital admissions in community-dwelling adults.MethodsA systematic literature review and narrative analysis was conducted. Inclusion criteria were as follows;Populationcommunity-dwelling adults (aged 18 years and above); Risk: risk prediction models, not contingent on an index hospital admission, with a derivation and ?1 validation cohort;Primary outcomeemergency hospital admission (defined as unplanned overnight stay in hospital);Study designretrospective or prospective cohort studies.ResultsOf 18,983 records reviewed, 27 unique risk prediction models met the inclusion criteria. Eleven were developed in the United States, 11 in the United Kingdom, 3 in Italy, 1 in Spain, and 1 in Canada. Nine models were derived using self-report data, and the remainder (n=18) used routine administrative or clinical record data. Total study sample sizes ranged from 96 to 4.7 million participants. Predictor variables most frequently included in models were: (1) named medical diagnoses (n=23); (2) age (n=23); (3) prior emergency admission (n=22); and (4) sex (n=18). Eleven models included nonmedical factors, such as functional status and social supports. Regarding predictive accuracy, models developed using administrative or clinical record data tended to perform better than those developed using self-report data (c statistics 0.63-0.83 vs. 0.61-0.74, respectively). Six models reported c statistics of >0.8, indicating good performance. All 6 included variables for prior health care utilization, multimorbidity or polypharmacy, and named medical diagnoses or prescribed medications. Three predicted admissions regarded as being ambulatory care sensitive.ConclusionsThis study suggests that risk models developed using administrative or clinical record data tend to perform better. In applying a risk prediction model to a new population, careful consideration needs to be given to the purpose of its use and local factors.

Project description:BackgroundIt is an important objective of the psychiatric services to keep the use of involuntary procedures to a minimum, as the use of coercion involves clinical, ethical, and legal issues. It has been claimed that Norway has a relatively high rate of involuntary admissions. We reviewed the peer-reviewed literature on the use of involuntary admission in Norway, with the purpose of identifying the current state of knowledge and areas in need of further research.MethodsA systematic review following the PRISMA statement was conducted. We searched the electronic databases PsycInfo, PubMed, Web of Science, CINAHL, and Embase for studies relating to involuntary admission to Norwegian adult psychiatric hospitals published in the period 1 January 2001 to 8 August 2016. The database searches were supplemented with manual searches of relevant journals, reference lists, and websites.ResultsSeventy-four articles were included and grouped into six categories based on their main topics: Patients' experiences, satisfaction and perceived coercion (21 articles), the Referral and admission process (11 articles), Rates of admission (8 articles), Characteristics of the patients (17 articles), Staff attitudes (9 articles), and Outcomes (8 articles). Four of the included articles described intervention studies. Fifty-seven of the articles had a quantitative design, 16 had a qualitative design, and one a mixed-method design. There was a broad range of topics that were studied and considerable variation in study designs. The findings were largely in line with the international literature, but the particularities of Norwegian legislation and the Norwegian health services were reflected in the literature. The four intervention studies explored interventions for reducing rates of involuntary admission, such as modifying referring routines, improving patient information procedures, and increasing patients' say in the admission process, and represent an important avenue for future research on involuntary admission in Norway.ConclusionsThe review suggests that Norway has a relatively high rate of involuntary admissions. The identified studies represent a broad mix of topics and designs. Four intervention studies were identified. More studies with strong designs are needed to bring research on involuntary admission in Norway to a next level.

Project description:BACKGROUND:Research suggests that depressive disorders exist on a continuum, with subthreshold symptoms causing considerable population burden and increasing individual risk of developing major depressive disorder. An alternative strategy to professional treatment of subthreshold depression is population promotion of effective self-help interventions that can be easily applied by an individual without professional guidance. The evidence for self-help interventions for depressive symptoms is reviewed in the present work, with the aim of identifying promising interventions that could inform future health promotion campaigns or stimulate further research. METHODS:A literature search for randomised controlled trials investigating self-help interventions for depressive disorders or depressive symptoms was performed using PubMed, PsycINFO and the Cochrane Database of Systematic Reviews. Reference lists and citations of included studies were also checked. Studies were grouped into those involving participants with depressive disorders or a high level of depressive symptoms, or non-clinically depressed participants not selected for depression. A number of exclusion criteria were applied, including trials with small sample sizes and where the intervention was adjunctive to antidepressants or psychotherapy. RESULTS:The majority of interventions searched had no relevant evidence to review. Of the 38 interventions reviewed, the ones with the best evidence of efficacy in depressive disorders were S-adenosylmethionine, St John's wort, bibliotherapy, computerised interventions, distraction, relaxation training, exercise, pleasant activities, sleep deprivation, and light therapy. A number of other interventions showed promise but had received less research attention. Research in non-clinical samples indicated immediate beneficial effects on depressed mood for distraction, exercise, humour, music, negative air ionisation, and singing; while potential for helpful longer-term effects was found for autogenic training, light therapy, omega 3 fatty acids, pets, and prayer. Many of the trials were poor quality and may not generalize to self-help without professional guidance. CONCLUSION:A number of self-help interventions have promising evidence for reducing subthreshold depressive symptoms. Other forms of evidence such as expert consensus may be more appropriate for interventions that are not feasible to evaluate in randomised controlled trials. There needs to be evaluation of whether promotion to the public of effective self-help strategies for subthreshold depressive symptoms could delay or prevent onset of depressive illness, reduce functional impairment, and prevent progression to other undesirable outcomes such as harmful use of substances.

Project description:BACKGROUND:Instrumental Activities of Daily Living (IADL) is an indicator of whether a community-dwelling elderly can live independently. IADL decline was reported to be associated with aging and depression. The present study aimed to investigate whether the association between IADL decline and depressive symptoms differs with aging, using two age groups of community-dwelling Japanese elderly in their 70s and 80s. METHODS:We conducted longitudinal analysis among participants in their 70s and 80s at the baseline from Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians (SONIC) study. IADL was assessed by The Tokyo Metropolitan Institute of Gerontology (TMIG) index of competence. As a main predictor, depressive symptoms were measured by the five-item version of the Geriatrics Depression Scale (GDS-5). As possible confounders, we considered cognitive function, body mass index, solitary living, education, economic status, medical history of stroke and heart disease, hypertension, dyslipidemia, diabetes, and sex. We obtained odds ratios (ORs) of IADL decline for having depressive symptoms in each age group (70s/80s) and tested interactions between depressive symptoms and age groups in relation to IADL decline in 3?years by logistic regression. Additionally, to confirm age group differences, we conducted multiple group analysis. RESULTS:There were 559 participants in their 70s and 519 in their 80s. Compared to participants without depressive symptoms, those with depressive symptoms had higher OR of IADL decline in 70s (OR [95% CI]?=?2.33 [1.13, 4.78]), but not in 80s (OR [95% CI]?=?0.85 [0.46, 1.53]). There were significant interactions between depressive symptoms and age groups in relation to IADL decline (p-value?=?0.03). Multiple group analyses showed differences between the age groups by Akaike information criterion (AIC), and ORs (95%CI) decline for depressive symptoms was 2.33 (1.14, 4.77) in 70s and 0.85 (0.47, 1.54) in 80s. CONCLUSION:The association of depressive symptoms and IADL decline during the 3?years was significantly different between the 70s and 80s age groups, and significant association was found only in people in their 70s. Detecting depressive symptoms may be a key for preventing IADL decline in people in their 70s and not for those in their 80s.

Project description:Importance:Depression is highly prevalent among physicians and has been associated with increased risk of medical errors. However, questions regarding the magnitude and temporal direction of these associations remain open in recent literature. Objective:To provide summary relative risk (RR) estimates for the associations between physician depressive symptoms and medical errors. Data Sources:A systematic search of Embase, ERIC, PubMed, PsycINFO, Scopus, and Web of Science was performed from database inception to December 31, 2018. Study Selection:Peer-reviewed empirical studies that reported on a valid measure of physician depressive symptoms associated with perceived or observed medical errors were included. No language restrictions were applied. Data Extraction and Synthesis:Study characteristics and RR estimates were extracted from each article. Estimates were pooled using random-effects meta-analysis. Differences by study-level characteristics were estimated using subgroup meta-analysis and metaregression. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline was followed. Main Outcomes and Measures:Relative risk estimates for the associations between physician depressive symptoms and medical errors. Results:In total, 11 studies involving 21 517 physicians were included. Data were extracted from 7 longitudinal studies (64%; with 5595 individuals) and 4 cross-sectional studies (36%; with 15 922 individuals). The overall RR for medical errors among physicians with a positive screening for depression was 1.95 (95% CI, 1.63-2.33), with high heterogeneity across the studies (χ2 = 49.91; P < .001; I2 = 82%; τ2 = 0.06). Among the variables assessed, study design explained the most heterogeneity across studies, with lower RR estimates associated with medical errors in longitudinal studies (RR, 1.62; 95% CI, 1.43-1.84; χ2 = 5.77; P = .33; I2 = 13%; τ2 < 0.01) and higher RR estimates in cross-sectional studies (RR, 2.51; 95% CI, 2.20-2.83; χ2 = 5.44; P = .14; I2 = 45%; τ2 < 0.01). Similar to the results for the meta-analysis of physician depressive symptoms associated with subsequent medical errors, the meta-analysis of 4 longitudinal studies (involving 4462 individuals) found that medical errors associated with subsequent depressive symptoms had a pooled RR of 1.67 (95% CI, 1.48-1.87; χ2 = 1.85; P = .60; I2 = 0%; τ2 = 0), suggesting that the association between physician depressive symptoms and medical errors is bidirectional. Conclusions and Relevance:Results of this study suggest that physicians with a positive screening for depressive symptoms are at higher risk for medical errors. Further research is needed to evaluate whether interventions to reduce physician depressive symptoms could play a role in mitigating medical errors and thus improving physician well-being and patient care.

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The association between depressive symptoms in the community, non-psychiatric hospital admission and hospital outcomes: a systematic review.

Publications

The association between depressive symptoms in the community, non-psychiatric hospital admission and hospital outcomes: a systematic review.

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