Evidence map›Paper›PMID 33176730›Full record

ArticleBMC psychiatry2020

Unrecognized geriatric depression in the emergency Department of a Teaching Hospital in Nepal: prevalence, contributing factors, and metric properties of 5 item geriatric depression scale in this population.

Roshana Shrestha, Anmol Purna Shrestha, Abha Shrestha, Barbara Kamholz

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Patient-Reported Outcome Measures in the Emergency Department: A Scoping Review.Journal of the American College of Emergency Physicians open · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Roshana ShresthaDepartment of General Practice and Emergency Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal. roshanashrestha@gmail.com.ORCID 0000-0002-7275-0615
Anmol Purna ShresthaDepartment of General Practice and Emergency Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.ORCID 0000-0002-2508-8534
Abha ShresthaDepartment of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.ORCID 0000-0002-7992-7137
Barbara KamholzVolunteer Clinical Professor of Psychiatry, University of California at San Francisco, San Francisco, CA, USA.
Kathmandu University · NPUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is prevalent but poorly recognized in the Emergency Department (ED). We aimed to identify the frequency of unrecognized geriatric depression and its possible determinants in the ED using the 15-item geriatric depression scale (GDS). We also aimed to explore the performance of the shorter, five-item GDS as compared to the 15-item GDS.

methodsThis was a cross-sectional study of the ED patients ≥ 60 years. The previously validated Nepali version of GDS-15 screened the sample into "no", "mild-moderate" and "severe" depression using cutoff values of 4/5, and 8/9 respectively. Demographic and socioeconomic factors, comorbidities and health seeking behaviors were studied and the relation was assessed with binary (Chi-square and Kruskal-Wallis test) and multinomial regression analysis. The performance of GDS-5 was compared with the GDS-15 as standard. Cronbach's alpha was calculated to investigate reliability. Validity was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value, Spearman's correlation, receiver operating characteristic curve, and kappa coefficient.

resultsTwo hundred eighty patients were enrolled with an overall prevalence of unrecognized depression of 45.7% [104 (81.3%) mild-moderate depression, and 24 (18.8%) severe depression]. The mean age of the sample was 71.36 with female predominance (61%), and 82.5% were illiterate. In the binary analysis, those who had more pain, visited the ED more often, had musculoskeletal diseases and sleep problems, mobility problems, visited local healers previously, and who reported self-perceived "heart and mind" disease showed statistically significant differences among the three categories. In multinomial regression analysis, visits to local healers, sleep problems and frequency of pain were significantly related to depression. The sensitivity, specificity, area under curve and Spearman's correlation of GDS-5 were 75.8%, 96%, 0.919, and 0.827 respectively. Cronbach's alpha for GDS-5 was low (0.416), therefore a new version was proposed which improved the sensitivity to 90.6% and Cronbach's alpha to 0.623.

conclusionsUnrecognized geriatric depression was highly prevalent which urges the need for ED-based interventions for screening and referral. The proposed brief GDS-5 correlated well with the GDS-15 with better validity and internal reliability and offers a more expeditious form of screening for geriatric depression in emergency settings in Nepal.

Indexed as

Emergency Service, HospitalGeriatric AssessmentAgedCross-Sectional StudiesFemaleHospitals, TeachingHumansNepalPrevalencePsychiatric Status Rating ScalesReproducibility of ResultsDepressionElderlyEmergency departmentGeriatric depression scaleHeart and mind diseaseIlliteracyLMICsNepalPain

Identifiers

PMID33176730
PMCPMC7656752
OpenAlexW3106443102

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.