Dataset Information

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.

ABSTRACT: BACKGROUND:Depression 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. METHODS:This 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. RESULTS:Two 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. CONCLUSIONS:Unrecognized 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.

SUBMITTER: Shrestha R

PROVIDER: S-EPMC7656752 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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.

Shrestha Roshana R Shrestha Anmol Purna AP Shrestha Abha A Kamholz Barbara B

BMC psychiatry 20201111 1

<h4>Background</h4>Depression 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.<h4>Methods</h4>This was a cross-sectional study of the ED patients ≥ 60 years. The previously validated Nepali version of GDS-15 scree ...[more]

PMID: 33176730

Similar Datasets

Project description:ObjectivesTo evaluate geriatric education programs for emergency department (ED) professionals based on: content and teaching methods and learning outcome effects and factors promoting or hindering program implementation.DesignSystematic review.SettingED.ParticipantsPhysicians, nurses, and medical residents working in the ED.Methods and measurementFive major biomedical databases were searched for (quasi) experimental studies, published between 1990 and April 2018, evaluating geriatric education programs for ED professionals. Data were synthesized around study quality, learning participants, teaching content and methods, and Kirkpatrick learning outcomes.ResultsNine before-after studies were included. Learners were mostly ED residents and, to a smaller extent, ED nurses and physicians. Study quality was moderate, with the lowest scores on sampling and instrument validity. Programs varied from a 1-day workshop to a 2-year curriculum, mostly combining didactic lectures with active and experiential learning formats. Topics commonly addressed included managing: geriatric syndromes, trauma and falls, medication, atypical presentations, and care transitions. Statistically significant improvements were mostly found in learners' knowledge acquisition (six studies). Significant improvements were also found in single studies on: self-reported geriatric screening, documentation of geriatric care, and appropriate urinary catheter placement. Factors promoting program implementation included: solving competing educational demands and busy work schedules, embedding the program in preexisting curricula, and close collaboration between emergency and geriatric medicine faculties.ConclusionsVarious geriatric education programs improve the geriatric knowledge of ED professionals and seem to positively impact their clinical practice. However, more program evaluations with larger study samples, and use of valid and reliable outcome measures, are needed to provide robust evidence on the effectiveness of such programs. J Am Geriatr Soc, 1-8, 2019. J Am Geriatr Soc 67:2402-2409, 2019.

Project description:BackgroundEmergency department (ED) visits show a high volatility over time. Therefore, EDs are likely to be crowded at peak-volume moments. ED crowding is a widely reported problem with negative consequences for patients as well as staff. Previous studies on the predictive value of weather variables on ED visits show conflicting results. Also, no such studies were performed in the Netherlands. Therefore, we evaluated prediction models for the number of ED visits in our large the Netherlands teaching hospital based on calendar and weather variables as potential predictors.MethodsData on all ED visits from June 2016 until December 31, 2019, were extracted. The 2016-2018 data were used as training set, the 2019 data as test set. Weather data were extracted from three publicly available datasets from the Royal Netherlands Meteorological Institute. Weather observations in proximity of the hospital were used to predict the weather in the hospital's catchment area by applying the inverse distance weighting interpolation method. The predictability of daily ED visits was examined by creating linear prediction models using stepwise selection; the mean absolute percentage error (MAPE) was used as measurement of fit.ResultsThe number of daily ED visits shows a positive time trend and a large impact of calendar events (higher on Mondays and Fridays, lower on Saturdays and Sundays, higher at special times such as carnival, lower in holidays falling on Monday through Saturday, and summer vacation). The weather itself was a better predictor than weather volatility, but only showed a small effect; the calendar-only prediction model had very similar coefficients to the calendar+weather model for the days of the week, time trend, and special time periods (both MAPE's were 8.7%).ConclusionsBecause of this similar performance, and the inaccuracy caused by weather forecasts, we decided the calendar-only model would be most useful in our hospital; it can probably be transferred for use in EDs of the same size and in a similar region. However, the variability in ED visits is considerable. Therefore, one should always anticipate potential unforeseen spikes and dips in ED visits that are not shown by the model.

Dataset Information

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.

Publications

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.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets