Sickness absence: a systematic review and meta-analysis of psychological treatments for individuals on sick leave due to common mental disorders

2018 ◽  
Vol 48 (12) ◽  
pp. 1954-1965 ◽  
Author(s):  
Sigrid Salomonsson ◽  
Erik Hedman-Lagerlöf ◽  
Lars-Göran Öst
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Sick Leave ◽  
Psychiatric Symptoms ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Behavioural Therapy ◽  
Psychological Interventions ◽  
Problem Solving Therapy ◽  
Significant Difference

AbstractSick leave due to common mental disorders (CMDs) increase rapidly and present a major societal challenge. The overall effect of psychological interventions to reduce sick leave and symptoms has not been sufficiently investigated and there is a need for a systematic review and meta-analysis of the field. The aim of the present meta-analysis was to calculate the effect size of psychological interventions for CMDs on sick leave and psychiatric symptoms based on all published randomized controlled trials. Methodological quality, the risk of bias and publication bias were also assessed. The literature searches gave 2240 hits and 45 studies were included. The psychological interventions were more effective than care as usual on both reduced sick leave (g = 0.15) and symptoms (g = 0.21). There was no significant difference in effect between work focused interventions, problem-solving therapy, cognitive behavioural therapy or collaborative care. We conclude that psychological interventions are more effective than care as usual to reduce sick leave and symptoms but the effect sizes are small. More research is needed on psychological interventions that evaluate effects on sick leave. Consensual measures of sick leave should be established and quality of psychotherapy for patients on sick leave should be improved.

Prevalence of PTSD and common mental disorders amongst ambulance personnel: a systematic review and meta-analysis

2018 ◽  
Vol 53 (9) ◽  
pp. 897-909 ◽  
Author(s):  
Katherine Petrie ◽  
Josie Milligan-Saville ◽  
Aimée Gayed ◽  
Mark Deady ◽  
Andrea Phelps ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Ambulance Personnel

scholarly journals Correction to: Stigma for common mental disorders in racial minorities and majorities a systematic review and meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ozlem Eylem ◽  
Leonore de Wit ◽  
Annemieke van Straten ◽  
Lena Steubl ◽  
Zaneta Melissourgaki ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Racial Minorities

scholarly journals Structured psychiatric diagnoses and self-rated symptoms in primary care patients on sick leave for common mental disorders: a clinical study

2019 ◽  
Author(s):  
Sandra Inger Christina af Winklerfelt Hammarberg ◽  
Jeanette Westman ◽  
Dominique Hange ◽  
Anna Finnes ◽  
Cecilia Björkelund ◽  
...  
Keyword(s):  
Primary Care ◽  
Mental Disorders ◽  
Sick Leave ◽  
Symptom Severity ◽  
Rating Scales ◽  
Common Mental Disorders ◽  
Adjustment Disorder ◽  
Psychiatric Interview ◽  
Significant Difference ◽  
Primary Care Patients

Abstract Background: To improve the quality of health care provided to primary care patients with mental disorders, it is crucial to understand more about the mental symptoms that underlie diagnoses on sick leave certificates. This study therefore aimed to: 1) investigate whether diagnoses on sick leave certificates corresponded to the results of a structured psychiatric interview and to self-rated symptom severity and 2) investigate the association between length of sick leave and the diagnoses on sick leave certificates, the diagnoses made in structured psychiatric interviews, and self-rated symptom severity. Methods: The study used data from 480 patients in SAFARI, a study on sick leave in patients with common mental disorders. At baseline, background variables were gathered and structured psychiatric interviews (M.I.N.I.) were performed. Severity of depression and adjustment disorder was assessed via self-rating scales. Data on sick leave were gathered at baseline and at 12 months from the Swedish Social Insurance Agency and patients’ medical records. Results: The diagnostic criteria for depression were fulfilled by a total of 76% of patients with a sick-leave diagnosis of adjustment disorder, 67% with a sick-leave diagnosis of anxiety, and 65% with a sick-leave diagnosis of depression (p=0.04). There was no significant difference in mean net sick leave days between those with a sick-leave certificate diagnosis of adjustment disorder (mean days 119.9), anxiety disorder (107.2), or depression (137.1). However, those with depression diagnosed via structured interview had a shorter mean net sick leave (112.3) than those who did not fulfil the depression criteria (155.9). Symptom severity was strongly associated with net sick leave days; those who rated their depression or adjustment disorder symptoms as more severe had longer net sick leave. Conclusions: Many patients with sick-leave certificate diagnoses of adjustment and anxiety disorders have ongoing depression. Longer sick leave duration was observed in those with adjustment disorder and more severe self-reported symptoms, both of which are appropriate according to Swedish guidelines.

Risk of depression and common comorbid mental disorders in persons with malaria: a protocol for a systematic review and meta-analysis

2020 ◽  
Author(s):  
Yanxu Yang ◽  
Matt Ciarletta ◽  
Yunqi Pan ◽  
Vernon M. Chinchilli ◽  
Paddy Ssentongo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Geographical Differences ◽  
Significance Level ◽  
Logit Transformation ◽  
Study Population ◽  
Meta Analyses ◽  
Comorbid Mental Disorders

Abstract Aim To estimate the pooled prevalence and incidence of depression and its common comorbid mental disorders in persons with a malarial infection and its neurological complications Method We will conduct a systematic review and meta-analysis of studies published between January 1, 1960 and January 1, 2020, reporting the prevalence or incidence of common mental disorders and the risks in people with malaria. We will search the following databases: PubMed (MEDLINE), Scopus, OVID (HEALTH STAR), OVID (MEDLINE) and Joana Briggs Institute EBF Database. No age, geographical location, study-design or language limits will be applied. If multiple languages were used to describe and publish the same data, the English version was selected. This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Three reviewers (MC, YP, YY) will independently screen citations, abstracts and will identify full-text articles for inclusion, extract data and appraise the quality and bias of included studies. Discrepancies will be resolved by consensus or consultation with a fourth researcher (AS). Risk of bias of included studies will be assessed by the Newcastle-Ottawa Quality Assessment Scale. The primary outcomes will be the overall prevalence or incidence of depression and common comorbid mental disorders (CCMDs) in persons with malaria. We will use the random-effects model with a logit transformation of proportions for the pooling of studies. We will assess the between-study heterogeneity using I2 statistics, and Cochrane’s Q statistic (significance level < 0.05). We will perform subgroup meta-analyses to investigate geographical differences in mental disorders and risks of different mental disorders. We will conduct a meta-regression analysis, using study level median age, race and gender proportions, the proportion of study population with malaria, and percentage of the study population with a diagnosis of common mental disorders. We will report absolute differences in the overall probability of common mental disorders. The Egger’s test and funnel plots will be used to assess publication bias.

scholarly journals Prevalence of Common Mental Disorders in South Asia: A Systematic Review and Meta-Regression Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Sadiq Naveed ◽  
Ahmed Waqas ◽  
Amna Mohyud Din Chaudhary ◽  
Sham Kumar ◽  
Noureen Abbas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mental Disorders ◽  
South Asian ◽  
Common Mental Disorders ◽  
Meta Analysis ◽  
Asian Countries ◽  
Stimulant Use ◽  
Pooled Prevalence ◽  
Policymaking And Implementation ◽  
Meta Regression Analysis

South Asian countries report the highest prevalence of common mental disorders (CMDs) globally. This systematic review and meta-analysis report the pooled prevalence of CMDs among the South Asian countries. Database searches were conducted in eight electronic databases. Titles, abstracts, full-text screening, and extraction of data on the event rate of 17 indicators of CMDs were performed by two independent reviewers. A total of 160 studies were included and data analysis was done using the Comprehensive Meta-analysis Software (v.3). A prevalence of depressive symptoms was 26.4% among 173,449 participants, alcohol abuse was 12.9% (n = 107,893); anxiety 25.8% (n = 70,058); tobacco smoking 18.6% (n = 84,965); PTSD 17.2% (n = 42,298); mixed anxiety and depression 28.4% (n = 11,102); suicidal behaviors 6.4% (n = 25,043); misuse of opiates 0.8% (n = 37,304); tobacco chewing 21.0% (n = 10,586); use of cannabis 3.4% (n = 10,977); GAD 2.9% (n = 70,058); bipolar disorder 0.6% (n = 7,197); IV drug abuse 2.5% (n = 15,049); panic disorder 0.01% (n = 28,087); stimulant use 0.9% (n = 1,414); OCD 1.6% (n = 8,784) and phobic disorders 1.8% (n = 27,754). This study reported a high prevalence of CMDs in South Asian countries; necessitating further research on psychiatric epidemiology in those contexts. It informs the need for effective policymaking and implementation of culturally appropriate multilevel interventions.

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