The psychometric properties of depression screening tools in primary healthcare settings: A systematic review

2018 ◽  
Vol 225 ◽  
pp. 503-522 ◽  
Author(s):  
Sarira El-Den ◽  
Timothy F. Chen ◽  
Yuh-Lin Gan ◽  
Eling Wong ◽  
Claire L. O’Reilly
Keyword(s):  
Systematic Review ◽  
Psychometric Properties ◽  
Primary Healthcare ◽  
Screening Tools ◽  
Depression Screening ◽  
Healthcare Settings

scholarly journals Depression screening tools in persons with epilepsy: A systematic review of validated tools

Epilepsia ◽  
2017 ◽  
Vol 58 (5) ◽  
pp. 695-705 ◽  
Author(s):  
Stephanie J. Gill ◽  
Sara Lukmanji ◽  
Kirsten M. Fiest ◽  
Scott B. Patten ◽  
Samuel Wiebe ◽  
...  
Keyword(s):  
Systematic Review ◽  
Screening Tools ◽  
Depression Screening

scholarly journals Psychometric Properties of Screening Questionnaires To Detect Depression In Primary Healthcare Setting In Rural Ethiopia

2021 ◽  
Author(s):  
Kassahun Habtamu ◽  
Rahel Berhane ◽  
Girmay Medhin ◽  
Charlotte Hanlon ◽  
Abebaw Fekadu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Primary Healthcare ◽  
Somatic Symptoms ◽  
Depression Screening ◽  
Cognitive Symptoms ◽  
Health Questionnaire ◽  
Rural Ethiopia ◽  
Screening Questionnaires ◽  
Patient Health

Abstract Background: Much of the research about the validity of depression screening questionnaires is on criterion validity. Evidence is scarce on the concurrent, convergent and construct validity of these measures, particularly from low-income countries. This study aimed to evaluate the psychometric properties of depression screening questionnaires in primary healthcare (PHC) in rural Ethiopia. Methods: A facility-based cross-sectional study was conducted with 587 participants recruited from patients attending three PHC facilities and two Holy water sites. The psychometric properties of five mental health screening questionnaires were evaluated: the nine item Patient Health Questionnaire (PHQ-9), the two item version of PHQ-9 (PHQ-2), a version of PHQ-9 with two added items of irritability and noise intolerance (PHQ-11), the Patient Health Questionnaire-15 (PHQ-15), and the World Health Organization-Five Well-being Index (WHO-5). Clinical diagnosis of depression was ascertained by psychiatrists using a semi-structured interview. We analyzed data using exploratory factor analysis, Spearman’s rank order correlation coefficient (Rho), the Mann Whitney test of the equality of medians, univariate logistic regression and Cronbach’s alpha. Results: PHQ-9, PHQ-11 and WHO-5 were found to be unidimensional, with items in each scale highly loading onto one factor (factor loadings ranging from 0.64 to 0.87). The items of each instrument were internally consistent, with Cronbach’s alpha ranging from 0.72 (PHQ-2) to 0.89 (PHQ-11). Scores for all screening scales were moderately or highly correlated with each other (Rho= 0.58 to 0.98) and moderately correlated with anxiety and disability scores. Median scores of all screening scales were significantly higher in those diagnosed with depression. The association of items measuring emotional and cognitive symptoms with the diagnosis of depression was stronger than the association with items measuring somatic symptoms. Irritability and noise intolerance had higher association with depression diagnosis than PHQ-9 items. Conclusion: Emotional and cognitive symptoms are more useful than somatic symptoms to predict the diagnosis of depression. Irritability and noise intolerance are more useful to detect depression. Future research should focus on testing the unidimensionality of PHQ-9, PHQ-11 and WHO-5 using confirmatory factor analysis; establishing the criterion validity of PHQ-11 and WHO-5; and on assessing test-retest reliability of all the measures.

scholarly journals Primary healthcare approach to substance abuse management

2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Ramprakash Kaswa
Keyword(s):  
Primary Care ◽  
Substance Abuse ◽  
Primary Healthcare ◽  
Partner Violence ◽  
Behavioural Change ◽  
Primary Care Providers ◽  
Screening Tools ◽  
Care Providers ◽  
Substantial Impact ◽  
Healthcare Settings

Substance abuse is common amongst patients attending primary healthcare settings. Despite the substantial impact on one’s health, substance abuse is often underdiagnosed by primary care providers owing to a lack of training and time for screening. Self-reported screening tools are easy to administer and efficient to make a substance abuse diagnosis in primary care settings. Comorbid mental illness and intimate partner violence are common amongst patients presenting with substance abuse in primary care. An early diagnosis and a brief behavioural change counselling are effective in managing substance abuse before it develops into dependency. A brief motivational communication rather than a confrontation during substance abuse screening, counselling and treatment is important to achieve optimum patient outcomes.

scholarly journals Audiovisual aids in primary healthcare settings’ waiting rooms. A systematic review

2018 ◽  
Vol 24 (1) ◽  
pp. 202-210 ◽  
Author(s):  
Christophe Berkhout ◽  
Suzanna Zgorska-Meynard-Moussa ◽  
Amy Willefert-Bouche ◽  
Jonathan Favre ◽  
Lieve Peremans ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Healthcare ◽  
Healthcare Settings ◽  
Audiovisual Aids

scholarly journals Technology-assisted depression screening tools for patients with cancer: a systematic review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041878
Author(s):  
Maria Isabel Lazaro-Escudero ◽  
Camila Alanna Burgos-Cardona ◽  
Karina Acevedo-Fernández ◽  
Eida Maria Castro-Figueroa
Keyword(s):  
Systematic Review ◽  
Data Extraction ◽  
Meta Analysis ◽  
Screening Tools ◽  
Depression Screening ◽  
Published Data ◽  
Final Decision ◽  
Patients With Cancer ◽  
Use Of Technology ◽  
Registration Number

IntroductionAmong patients with cancer, depression is still under-detected. The use of technology-assisted screening tools is rising; however, little is known about the uptake of these devices as depression screening tools among patients with cancer.Methods and analysisA systematic review will be conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P). The review is registered with PROSPERO and any adjustments to the protocol will be traced. The aims of this systematic review are to (1) identify the most common and feasible depression screening information technology (IT) delivery models among patients with cancer, (2) identify the most common depression screening instrument used in IT devices and (3) describe the published technology-assisted depression screening tools for patients with cancer. PubMed, EBSCOhost and Google Scholar databases will be used. PICO (Patient/Population, Intervention, Comparison, Outcomes) guidelines will inform the inclusion criteria. Two researchers will independently review titles and abstracts, followed by full article review and data extraction. In the case of a disagreement, a third reviewer will make the final decision. Title/abstract screening will be conducted using a screening tool prepared by the researchers. Articles will be included for review if: (1) the study includes patients with cancer, cancer survivors and/or patients on remission, (2) depression is screened using technology and (3) technology-assisted depression screening effectiveness, efficacy, feasibility and/or acceptance is addressed. The quality of the articles will be assessed using the Methodological Index For Non-Randomised Studies (MINORS, maximum score 24) through independent coding of reviewers.Ethics and disseminationThis research is exempt from ethics approval given that this is a protocol for a systematic review, which uses published data. Findings from this review will be disseminated through peer-reviewed publications and scientific conferences.Systematic review registrationPROSPERO registration number CRD42019121048.

scholarly journals LO30: Assessing screening tools to identify patients with palliative care needs in the emergency department: a systematic review

CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S18 ◽  
Author(s):  
S. Kirkland ◽  
M. Garrido Clua ◽  
M. Kruhlak ◽  
S. Campbell ◽  
C. Villa-Roel ◽  
...  
Keyword(s):  
Systematic Review ◽  
Emergency Department ◽  
Palliative Care ◽  
Psychometric Properties ◽  
Grey Literature ◽  
Third Party ◽  
Screening Tools ◽  
Significant Heterogeneity ◽  
Care Needs ◽  
End Stage

Introduction: With an increasing proportion of patients in need of end-of-life (EOL) care presenting to the emergency department (ED), many of these patients may benefit from early palliative care (PC) referral. In fact, early PC referral is one of the Choosing Wisely ED recommendations in the USA. As such, there is a potential benefit to identifying patients with advanced or end-stage illness with PC needs. The objective of this systematic review is to identify and synthesize the available evidence regarding the existence and psychometric properties of screening tools to identify patients with advanced or end-stage illness and PC needs presenting to EDs. Methods: A comprehensive search of eight electronic databases and the grey literature was conducted. Studies assessing the ability of a screening instrument to identify ED patients with advanced or end-stage illness in need of PC were eligible for inclusion. Two independent reviewers completed study selection, quality assessment, and data extraction. Disagreements were resolved through third-party adjudication. Due to the significant heterogeneity, as well as inconsistent outcome reporting, a descriptive summary of the results was completed. Results: Once duplicates were removed, the title and abstracts of 3516 studies were screened, of which, 15 studies were included. Overall, 10 unique screening instruments were assessed across the studies. The most commonly assessed screening tool was the use of the modified surprise question (SQ), in which physicians were asked if they would be surprised if the patient died within a specified period of time. Only four of the included studies assessed the diagnostic or psychometric properties of the screening tools. One study reported that the modified SQ predicted PC consultation with 35% sensitivity, 89% specificity, and a negative predictive value of 97%. The proportion of patients identified with PC needs ranged from 12% to 73%, with studies utilizing the SQ reporting a range of 12% to 33%. Conclusion: A variety of screening tools are available to identify ED patients with advanced or end-stage illness who would benefit from a referral for PC. While the modified SQ was the most common instrument assessed and appears to be simple to implement, it is unclear if the diagnostic and psychometric properties of this tool are sufficiently robust to warrant widespread implementation.

scholarly journals Accuracy of Depression Screening Tools to Detect Major Depression in Children and Adolescents: A Systematic Review

2016 ◽  
Vol 61 (12) ◽  
pp. 746-757 ◽  
Author(s):  
Michelle Roseman ◽  
Lorie A. Kloda ◽  
Nazanin Saadat ◽  
Kira E. Riehm ◽  
Abel Ickowicz ◽  
...  
Keyword(s):  
Systematic Review ◽  
Lower Bound ◽  
Children And Adolescents ◽  
Screening Tool ◽  
Diagnostic Interview ◽  
Small Sample ◽  
Screening Tools ◽  
Depression Screening ◽  
Screening Programs ◽  
Small Sample Sizes

Objective: Depression screening among children and adolescents is controversial, and no clinical trials have evaluated benefits and harms of screening programs. A requirement for effective screening is a screening tool with demonstrated high accuracy. The objective of this systematic review was to evaluate the accuracy of depression screening instruments to detect major depressive disorder (MDD) in children and adolescents. Method: Data sources included the MEDLINE, MEDLINE In-Process, EMBASE, PsycINFO, HaPI, and LILACS databases from 2006 to September 30, 2015. Eligible studies compared a depression screening tool to a validated diagnostic interview for MDD and reported accuracy data for children and adolescents aged 6 to 18 years. Risk of bias was assessed with QUADAS-2. Results: We identified 17 studies with data on 20 depression screening tools. Few studies examined the accuracy of the same screening tools. Cut-off scores identified as optimal were inconsistent across studies. Width of 95% confidence intervals (CIs) for sensitivity ranged from 9% to 55% (median 32%), and only 1 study had a lower bound 95% CI ≥80%. For specificity, 95% CI width ranged from 2% to 27% (median 9%), and 3 studies had a lower bound ≥90%. Methodological limitations included small sample sizes, exploratory data analyses to identify optimal cut-offs, and the failure to exclude children and adolescents already diagnosed or treated for depression. Conclusions: There is insufficient evidence that any depression screening tool and cut-off accurately screens for MDD in children and adolescents. Screening could lead to overdiagnosis and the consumption of scarce health care resources.

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