Furthering the reliable and valid measurement of mental health screening, diagnoses, treatment and outcomes through health information technology

Haberer, Jessica; Trabin, Tom; Klinkman, Michael S.

doi:10.1016/j.genhosppsych.2013.03.009

Cited by 34 publications

(29 citation statements)

References 75 publications

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“…One example is increasing Health Information Technology (HIT) applications aimed at advancing mental health screening and mental health interventions within primary care [52][53][54][55][56][57]. The DCAT study recently completed testing of automated patient calls to assist timepressured medical and behavioral providers by routinely screening and monitoring patient depression symptoms, treatment adherence and communication with providers [30,31].…”

Section: Discussionmentioning

confidence: 99%

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Ell

Katon

Lee

et al. 2015

General Hospital Psychiatry

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Section: Discussionmentioning

confidence: 99%

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Ell

Katon

Lee

et al. 2015

General Hospital Psychiatry

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“…This flawed approach fails to take into account the complexity of neurobehavioural disorders in 3 ways. 9,[34][35][36][37] First, patient subgroups are defined by baseline prerandomization markers that are hypothesized to modulate the effect size of the intervention (i.e., modulators), an approach commonly used in cardiovascular disease, for example. This approach assumes that the disorder's pathophysiol-ogy is well-known, such that a static baseline marker (such as a genotype or other biomarker) can reliably enrich the sample (i.e., distinguish a patient subgroup that is most likely to benefit from a treatment).…”

Section: Shortcomings Of the Current Precision Medicine Approach In Rmentioning

confidence: 99%

Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders

Lenze

Nicol

Barbour

et al. 2021

jpn

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The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients’ response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation–electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches — and then widespread incorporation of the precision clinical trial framework — could help achieve the vision of precision medicine for neurobehavioural conditions.

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“…, the quantitative analysis is shown, we found that global averages varied for the subscales of anxiety/insomnia and social dysfunction, whose means are high and are between (M= 1.01; DE = 0.885) and (M= 1.21; DE = 0.942) for items(1,5,8,9,10,11,15,16,17,18,20,21).And the other group, formed by the items(2,3,4,6,7,12,13,14,19,22,23) of the subscales of…”

mentioning

confidence: 85%

“…Maintaining adequate overall health in crisis contexts then becomes a growing challenge for health managers on a global scale. In this context, it should be noted that while there are sustained efforts to implement public protection strategies to improve COVID-related infections,19, reports of prevalence of mental illness due to emotional instability have been increasing throughout the period of the first coronavirus outbreak, this exposes the population to the development of psychopathologies and states of deterioration of mental health (3)(4)(5) Previous studies emphasize the importance of identifying in early stages the psychological symptoms of nonpsychiatric population in order to reduce the probability of developing mental disorders and the chronology of clinical symptoms (6,7). However, despite the extensive list of psychological health screening instruments, there are some diagnostic accuracy problems (8).…”

Section: Introductionmentioning

confidence: 99%

Psychometric properties and factor invariance for the General Health Questionnaire (GHQ-28): study in Peruvian population exposed to the COVID-19 pandemic

Guerrero¹,

Barreda-Parrab

Cahua

2020

Preprint

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Large-scale epidemics are known to significantly disrupt the mental health and perceived well-being of most populations. In spite of the wide range of screening tools, there are not many reliable and widespread tools for the identification of psychological symptoms in non-clinical populations during a health crisis.ObjectiveThe aim of this study was to conduct a psychometric analysis of the Goldberg’s GHQ-28 (1) through a sample of Peruvian adults using confirmatory factor analysis.Materials and methods434 individuals have been examined, studying the goodness and structure of the Goldberg GHQ-28 questionnaire.ResultWe found high reliability indicating optimal values (α by Cronbach = .829), also there are four correlated factors that show strict invariance among the 28 items. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were used to examine the structure of the subscales. There are high levels of anxiety (X=1.01) and social dysfunction (X=1.21) in the assessed sampling.ConclusionThe factorial structure obtained in this study is similar to that originally described by the researchers involved in the original questionnaire. It is concluded that GHQ-28 is suitable to explore prevalence of psychopathologies in emergency contexts and social isolation for general non-psychiatric population.

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Furthering the reliable and valid measurement of mental health screening, diagnoses, treatment and outcomes through health information technology

Cited by 34 publications

References 75 publications

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Demographic, clinical and psychosocial factors identify a high-risk group for depression screening among predominantly Hispanic patients with Type 2 diabetes in safety net care

Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders

Psychometric properties and factor invariance for the General Health Questionnaire (GHQ-28): study in Peruvian population exposed to the COVID-19 pandemic

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