Evaluation of the Role of Training in the Implementation of a Depression Screening and Treatment Protocol in 2 Academic Outpatient Internal Medicine Clinics Utilizing the Electronic Medical Record

Loeb, Danielle F.; Sieja, Amber; Corral, Janet; Zehnder, Nichole; Guiton, Gretchen; Nease, Donald E.

doi:10.1177/1062860614532681

Cited by 13 publications

(20 citation statements)

References 40 publications

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“…8,[10][11][12][13][14][15][16][17] The PHQ-9 has been utilized in research, clinical practice, and epidemiological surveys of mental health. [18][19][20][21][22][23][24][25][26][27] It can be administered in person or over the telephone. 28 The PHQ-9 is free to users and is available in English…”

Section: Anxiety and Depression Scale (Hads) And Primarymentioning

confidence: 99%

Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients

Dadfar

Kalibatseva

Lester

2018

Trends Psychiatry Psychother.

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Section: Anxiety and Depression Scale (Hads) And Primarymentioning

confidence: 99%

Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients

Dadfar

Kalibatseva

Lester

2018

Trends Psychiatry Psychother.

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“…A screening method that is currently used in primary care settings to identify patients requiring further assessment for depression is the Patient Health Questionnaire (PHQ)-2. 27 This 2-question questionnaire consists of the first 2 questions from the PHQ-9, which refer to depressed mood and anhedonia. These questions ask “Over the past 2 weeks, how often have you been bothered by any of the following problems: (1) little interest or pleasure in doing things, and (2) feeling down, depressed, or hopeless?” The PHQ-2 has been validated as a screening tool for depression in the general population 28 and in older adults.…”

Section: Discussionmentioning

confidence: 99%

Factors to assess depression in homebound older adults

Thomas

Jacobs

Ownby

et al. 2016

Mental Health Clinician

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Introduction:The number of homebound older adults is expected to increase as the elderly population grows. Many homebound older persons may be at high risk for depression, which has been associated with adverse health outcomes. The objective of this study was to identify selected factors that may predict depression in the homebound older population.Methods:Data from 340 homebound adults, aged 65 and older who were enrolled in Broward Meals on Wheels and who participated in a telephone survey were analyzed. Participants were asked to report demographic information, health status, medication-taking behaviors, mental health, and life satisfaction. Multiple regression analysis was used to identify predictors of depressed mood in this sample of older adults.Results:The majority of the sample (aged 65–95 years; mean, 77 years) were female (76.5%), white (77.1%), and living alone (52.6%). Multivariate modeling indicated that difficulty remembering the number of prescribed medications to be taken, feeling groggy after taking certain medications, poor self-reported health status, taking anxiety medications, and less satisfaction with life explained 34% (adjusted R2) of the variance in predicting depressed mood (F = 33.1, df = 5, P < .001).Discussion:Multiple factors related to medication use were identified that may contribute to higher levels of depressed mood in homebound older adults. These factors found in our study may be used to create a screening model to be used by pharmacists to identify homebound older adults who would benefit from further assessment for depression.

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“…As illustrated, 14 of 27 (52%) of articles analyzed identified ten unique positive indicators of practitioner performance (15,18,19,23,25,28,29,31,35,36,38,39,40,41). Practitioner performance was reported as more accurate prescribing, improved screening of patients, improved overall performance, increased awareness of patients' conditions, improved follow-up due to better communication with patients, improved accuracy of diagnosis, improved documentation, improved benchmarking, improved care plans, and improved buy-in of CDSS.…”

Section: Table 2: Summary Of Themes Identified For Practitioner Perfomentioning

confidence: 95%

“…Two articles (7%) reported no statistical difference between control and intervention groups (27,29). Ten articles (37%) did not discuss patient medical outcomes (15)(16)(17)19,20,21,23,27,31,33,40).…”

Section: Table 3: Summary Of Themes Identified For Patient Medical Oumentioning

confidence: 99%

What are the Effects of Computerized Decision Support Systems on Practitioner Performance and Patient Outcomes

Kruse¹,

Ehrbar²

2019

Preprint

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Background Computerized decision support systems (CDSS) are software programs that support the decision making of practitioners and other staff. Other reviews have analyzed the relationship between CDSS, practitioner performance, and patient outcomes. These reviews reported positive practitioner performance in over half the articles analyzed, but very little information was found for patient outcomes. The purpose of this review was to analyze the relationship between CDSS, practitioner performance, and patient medical outcomes. PubMed, CINAHL, and Cochrane databases were queried.Methods 27 articles were chosen based on year published (last ten years), high quality source, and discussion of the relationship between the use of CDSS as an intervention and links to practitioner performance or patient outcomes. Reviewers used an Excel spreadsheet to collect information on the relationship between CDSS and practitioner performance or patient outcomes. Reviewers also collected observations of participants, intervention, comparison with control group, and outcomes (PICO) along with those showing implicit bias. Articles were analyzed by multiple reviewers following the Kruse Protocol for systematic reviews. Data were organized into multiple tables for analysis and reporting.Results Fourteen articles (52%) discussed positive practitioner performance, three articles (11%) found no difference in practitioner performance, ten articles (37%) did not discuss practitioner performance. Zero articles reported negative practitioner performance. Fifteen articles (56%) discussed positive patient medical outcomes, two articles (7%) found no statistically significant difference in medical outcomes between intervention and control groups, and ten articles (37%) did not discuss medical outcomes. Zero articles found negative patient medical outcomes.Conclusions Results of this review are commensurate with previous reviews with similar objectives, but unlike these reviews we found significant positive reporting of a positive effect on patient medical outcomes. Our findings support adoption of decision support systems.

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Evaluation of the Role of Training in the Implementation of a Depression Screening and Treatment Protocol in 2 Academic Outpatient Internal Medicine Clinics Utilizing the Electronic Medical Record

Cited by 13 publications

References 40 publications

Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients

Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients

Factors to assess depression in homebound older adults

What are the Effects of Computerized Decision Support Systems on Practitioner Performance and Patient Outcomes

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