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Estimation of the prevalence of depression using diagnostic instruments in the elderly population in India, 2000-2019: a systematic review protocol.

ABSTRACT: INTRODUCTION:Depression is a common mental disorder in the elderly population, which significantly impacts their quality of life. However, correct estimates of its magnitude are not available in the elderly in India. The present systematic review and meta-analysis would attempt to estimate the prevalence of depression using diagnostic instruments among elderly persons aged 60 years and above. METHODS AND ANALYSIS:Searches will be performed in PubMed, Scopus, Embase, Web of Science, CINAHL and PsycINFO. Community-based cross-sectional and cohort studies (2001 to September 2019) reporting the prevalence of depression in the elderly, using diagnostic instruments will be included. Studies conducted among chronic disease patients, in-hospital patients and special groups such as with disaster-stricken populations, and studies reporting the only one or two subcategories of depression, will be excluded. Disagreements in study selection and data abstraction will be resolved by consensus and arbitration by a third reviewer. AXIS critical appraisal tool will be used for quality assessment of individual studies. Findings of eligible studies will be pooled using fixed-effects or random-effects meta-analysis whichever is appropriate. Heterogeneity between studies will be examined by Cochran's Q test and quantified by I² statistic. A cumulative meta-analysis will be used to detect temporal trends in the prevalence of depression and the effect of poor-quality studies on the pooled estimate. Publication bias will be assessed by visual inspection of funnel plots and the Egger test. ETHICS AND DISSEMINATION:No ethical approval will be needed because it will be a systematic review. Data from previously published studies will be retrieved and analysed. Findings will be disseminated through a peer-reviewed publication in a scientific journal and conferences. PROSPERO REGISTRATION NUMBER:CRD42019138453.

SUBMITTER: Behera P

PROVIDER: S-EPMC7228514 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Estimation of the prevalence of depression using diagnostic instruments in the elderly population in India, 2000-2019: a systematic review protocol.

Behera Priyamadhaba P Pilania Manju M Yadav Vikas V Bairwa Mohan M Dabar Deepti D Behera Surama Manjari SM Poongothai Subramani S Mohan Viswanathan V Gupta Shiv Dutt SD

BMJ open 20200507 5

<h4>Introduction</h4>Depression is a common mental disorder in the elderly population, which significantly impacts their quality of life. However, correct estimates of its magnitude are not available in the elderly in India. The present systematic review and meta-analysis would attempt to estimate the prevalence of depression using diagnostic instruments among elderly persons aged 60 years and above.<h4>Methods and analysis</h4>Searches will be performed in PubMed, Scopus, Embase, Web of Science ...[more]

PMID: 32385060

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Project description:ObjectiveWe aimed to investigate the prevalence of depression in cancer patients assessed by diagnostic interviews and self-report instruments, and to study differences in prevalence between type of instrument, type of cancer and treatment phase.MethodsA literature search was conducted in four databases to select studies on the prevalence of depression among adult cancer patients during or after treatment. A total of 211 studies met the inclusion criteria. Pooled mean prevalence of depression was calculated using Comprehensive Meta-Analysis.ResultsHospital Anxiety and Depression Scale-depression subscale (HADS-D)???8, HADS-D ?11, Center for Epidemiologic Studies???16, and (semi-)structured diagnostic interviews were used to define depression in 66, 53, 35 and 49 studies, respectively. Respective mean prevalence of depression was 17% (95% CI?=?16-19%), 8% (95% CI?=?7-9%), 24% (95% CI?=?21-26%), and 13% (95% CI?=?11-15%) (p?<?0.001). Prevalence of depression ranged from 3% in patients with lung cancer to 31% in patients with cancer of the digestive tract, on the basis of diagnostic interviews. Prevalence of depression was highest during treatment 14% (95% CI?=?11-17%), measured by diagnostic interviews, and 27% (95% CI?=?25-30%), measured by self-report instruments. In the first year after diagnosis, prevalence of depression measured with diagnostic interviews and self-report instruments were 9% (95% CI?=?7-11%) and 21% (95% CI?=?19-24%), respectively, and they were 8% (95% CI?=?5-12%) and 15% (95% CI?=?13-17%)???1?year after diagnosis.ConclusionsPooled mean prevalence of depression in cancer patients ranged from 8% to 24% and differed by the type of instrument, type of cancer and treatment phase. Future prospective studies should disentangle whether differences in prevalence of depression are caused by differences in the type of instrument, type of cancer or treatment phase. © 2013 The Authors. Psycho-Oncology published by John Wiley & Sons, Ltd.

Project description:BackgroundThere is considerable variation in reported chronic obstructive pulmonary disease (COPD) prevalence internationally, partly due to differing definitions in use. Accurate estimates of disease prevalence are important for allocation of health-care resources, yet UK estimates of COPD prevalence have not been updated for a decade. We calculated yearly COPD prevalence in England between 2000 and 2019 using different definitions of COPD.MethodsWe used routinely collected primary care electronic healthcare record (EHR) data from the Clinical Practice Research Datalink (CPRD) Aurum database linked with secondary care data from the Hospital Episode Statistics (HES) Admitted Patient Care (APC) database. Mid-year point prevalence was calculated yearly from 2000 to 2019 in English adults aged ≥40 years using 5 definitions: (i) validated COPD, (ii) Quality and Outcomes Framework (QOF) COPD, (iii) COPD symptoms, inhaler prescription, and no asthma diagnosis, (iv) hospitalisation with COPD as any diagnosis, (v) hospitalisation with COPD as primary or secondary diagnosis. Prevalence was further stratified by gender, age group, and region.ResultsA total of 12,745,793 people were included over the 20-year period. Annual cohort sizes ranged from 4,373,538 in 2000 to 6,159,496 in 2019. Estimates of COPD prevalence increased every year from 2000 and the difference in estimated prevalence between the validated and QOF definitions has grown over time. In 2019, a COPD prevalence of 4.9% was found using validated events in either primary or secondary care (definition 1 or definition 5). Additionally, including potentially undiagnosed cases (definition 3) in the COPD definition produced an increased prevalence of 6.7%.ConclusionCommon definitions of COPD (eg, QOF codes), may underestimate the true prevalence. The extent of this underestimate has increased over time and could lead to under-allocation of resources where need is estimated based on these definitions. Standardisation of COPD coding in routine EHRs and metrics such as spirometry is key to accurate disease monitoring.

Project description:BackgroundThere is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India.MethodsPubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger's test and visual inspection of the symmetry in funnel plots.ResultsFifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3-39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence.ConclusionAbout one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools.

Project description:IntroductionThe global development agenda reflects greater attention to ending child marriage and supporting adolescent girls than ever before. Limited understandings of the evidence base on child marriage, however, make it challenging to assess gaps in the literature and inform policy and programming to respond to the needs of adolescent girls. The goal of this project is to systematically identify, evaluate and synthesise the global evidence on child marriage.Methods and analysisWe will include articles with a thematic focus on child marriage from all geographic settings, two decades of research (2000-2019) and in four languages (English, Spanish, French and Portuguese). We will search 18 electronic academic databases (7 in English and 4 each in French, Spanish and Portuguese, with 1 overlapping database) and for the grey literature, conduct targeted hand-searches of organisations engaged in work to prevent child marriage. The databases for studies in English are PubMed, PsychINFO, Embase, CINAHL Plus, Popline, Web of Science and Cochrane Library; for studies in French, the databases will be DialNet, Directory of Open Access Journals, Science Direct and Biblioteca CCG-IBT database; in Spanish, DialNet, La Biblioteca Científica Electrónica en Línea, Red Iberoamericana de Innovación y Conocimiento Científico and Jstor and in Portuguese, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Biblioteca Virtual em Saúde, Biblioteca Científica Eletrônica On-line and Biblioteca Digital Brasileira de Teses e Dissertações. We will also review reference lists of select articles and seek input from key authors, field practitioners and participants in international convenings. We will collect and analyse data on publication characteristics, including type of document, institutional affiliation, publication year, language, focus country and region, study objective, specific focus, research method, key findings and recommendations of the material offered for future work. The database searches for publications in English were conducted in January 2020 and we plan to complete the searches in French, Spanish and Portuguese in early 2021.Ethics and disseminationAs a systematic review of already-published data, this study does not raise ethical or safety concerns. The authors plan to publish the results of the scoping review in a relevant international journal as well as present the results widely following publication. Building on this foundational work, the authors plan to conduct analyses that make use of the rich data.Registration detailsThe study design adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Our protocol was registered with Open Science Framework on 14 January 2020 (https://osf.io/awh8v).

Project description:BackgroundGiven the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors.MethodsWe forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis.FindingsWe estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4-65·1) million cases globally in 2019 to 152·8 (130·8-175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [-7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64-1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52-1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41-67]) and western Europe (74% [58-90]), and the largest in north Africa and the Middle East (367% [329-403]) and eastern sub-Saharan Africa (357% [323-395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia.InterpretationGrowth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia.FundingBill & Melinda Gates Foundation and Gates Ventures.

Dataset Information

Estimation of the prevalence of depression using diagnostic instruments in the elderly population in India, 2000-2019: a systematic review protocol.

Publications

Estimation of the prevalence of depression using diagnostic instruments in the elderly population in India, 2000-2019: a systematic review protocol.

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