scholarly journals An empirical comparison of three methods for multiple cutoff diagnostic test meta‐analysis of the Patient Health Questionnaire‐9 ( PHQ ‐9) depression screening tool using published data vs individual level data

2020 ◽  
Vol 11 (6) ◽  
pp. 833-848
Author(s):  
Andrea Benedetti ◽  
Brooke Levis ◽  
Gerta Rücker ◽  
Hayley E. Jones ◽  
Martin Schumacher ◽  
...  
Keyword(s):  
Diagnostic Test ◽  
Screening Tool ◽  
Meta Analysis ◽  
Depression Screening ◽  
Published Data ◽  
Health Questionnaire ◽  
Empirical Comparison ◽  
Individual Level ◽  
Level Data ◽  
Patient Health

Patient Health Questionnaire (PHQ-9): A depression screening tool for people with epilepsy in Vietnam

2021 ◽  
Vol 125 ◽  
pp. 108446
Author(s):  
Tram Le Hoang Ngoc ◽  
Minh-An Thuy Le ◽  
Hung Thien Nguyen ◽  
Hanh-Vi Vo ◽  
Ngan Quynh Le ◽  
...  
Keyword(s):  
Screening Tool ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health

Psychometric Properties of the Patient Health Questionnaire (PHQ-9) as a Depression Screening Tool for Bariatric Surgery Candidates

2013 ◽  
Vol 54 (4) ◽  
pp. 352-358 ◽  
Author(s):  
Stephanie Cassin ◽  
Sanjeev Sockalingam ◽  
Raed Hawa ◽  
Susan Wnuk ◽  
Sarah Royal ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Psychometric Properties ◽  
Screening Tool ◽  
Depression Screening ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health

Smartphone as a disease screening tool: a systematic review (Preprint)

2020 ◽  
Author(s):  
Sasan Adibi ◽  
Nilmini Wichramasinghe
Keyword(s):  
Screening Tool ◽  
Disease Screening ◽  
Sleep Apnoea ◽  
Depression Screening ◽  
Eye Care ◽  
Digital Version ◽  
Paper Version ◽  
Care Utilisation ◽  
Patient Health ◽  
Standard Paper

BACKGROUND Disease screening identifies a disease in an individual/community at an early stage to prevent or treat the condition effectively. The current COVID-19 pandemic has restricted hospital visits for screening and other healthcare services resulting in the disruption of screening for diseases such as cancer, diabetes and CVD. Smartphone technologies, coupled with built-in sensors and wireless technologies, enable the smartphone to function as a device for disease screening and monitoring with negligible additional costs. OBJECTIVE This review aimed to evaluate the use of smartphone applications (apps) in the disease screening and acceptability of this technology in the medical and healthcare sectors. METHODS We followed a systematic review process to assess the scope for the app in the disease screening process. Four databases (Medline complete, Web of Science, Embase, and Proquest) were searched. Articles published in English and examining the use of the app in disease screening were included. Primary outcomes for the research articles and their statistically significant Results showed that app-based screening group had significant (OR:1.7, 95% CI: 1.2–2.4) eye care utilisation compared to their traditional screening counterparts. A good correlation between clinical Snellen and smartphone visual acuity measurements (ρ=.91) is observed. For depression screening, the ROC curve is .8012, indicating that mental-health ratings are comparable to Patient Health Questionnaire-9 (PHQ-9) results, and could be used as a depression screening tool in practice. Although the findings of cognitive impairment suggest that the digital-version readings are similar to the standard paper-version readings, the participants preferred devices with larger screen (e.g. tablet). Also, the smartphone-compatible oximeter is a weak predictor to detect central sleep apnoea in stable heart failure participants. value, where applicable are presented and discussed. RESULTS Results showed that app-based screening group had significant (OR:1.7, 95% CI: 1.2–2.4) eye care utilisation compared to their traditional screening counterparts. A good correlation between clinical Snellen and smartphone visual acuity measurements (ρ=.91) is observed. For depression screening, the ROC curve is .8012, indicating that mental-health ratings are comparable to Patient Health Questionnaire-9 (PHQ-9) results, and could be used as a depression screening tool in practice. Although the findings of cognitive impairment suggest that the digital-version readings are similar to the standard paper-version readings, the participants preferred devices with larger screen (e.g. tablet). Also, the smartphone-compatible oximeter is a weak predictor to detect central sleep apnoea in stable heart failure participants. CONCLUSIONS The review observed a significant statistical relationship between the app and standard clinical screening. Critical considerations when designing, developing, and deploying smartphone solutions is laid forth to provide equitable healthcare solutions without barriers. Furthermore, the findings might increase the research prospects to evaluate smartphone solutions as valid and reliable screening solutions.

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