Improving Data for Behavioral Health Workforce Planning: Development of a Minimum Data Set

Beck, Angela J.; Singer, Phillip M.; Buche, Jessica; Manderscheid, Ronald W.; Buerhaus, Peter I.

doi:10.1016/j.amepre.2018.01.035

Cited by 16 publications

(10 citation statements)

References 14 publications

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“…The efforts of this Center and its consortium of partners, which represent a varied group of providers and professional organizations engaged in mental health and addiction prevention and treatment, are aimed at conducting research to strengthen workforce capacity. The article by Beck et al 10 summarizes the Center's work in developing a minimum data set as a foundational step for standardizing the collection of workforce data to inform workforce planning efforts. Two articles by Andrilla and colleagues detail the geographic maldistribution of providers across the U.S. 11 and barriers to seeking buprenorphine treatment for opioid use disorder because of physician prescribing practices, 12 whereas Brener et al 13 describe how school district staffing policies related to counseling, psychological, and social services could increase availability of behavioral health services.…”

Section: Advances In Workforce Planning Practice and Preparationmentioning

confidence: 99%

The Future of the Behavioral Health Workforce: Optimism and Opportunity

Beck

Manderscheid

Buerhaus

2018

American Journal of Preventive Medicine

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Section: Advances In Workforce Planning Practice and Preparationmentioning

confidence: 99%

The Future of the Behavioral Health Workforce: Optimism and Opportunity

Beck

Manderscheid

Buerhaus

2018

American Journal of Preventive Medicine

Self Cite

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“…The technical structures and data standards in EHRs, however, differ from health facility to health facility in most of countries. To overcome this problem, MDS has been created as a key step for establishment of surveillance system, which has become a tool used by investigators in health services research, outcomes research, and performance improvement to enhance computerized operation and identify patients with specific conditions and monitor outcomes and process measures [25–27]. For QIs, they were quantitative metric based on MDS and could provide information to improve practice, to monitor performance, to measure achievement, to determine accountability, and to define health policy decision-making [22].…”

Section: Discussionmentioning

confidence: 99%

The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management

Yao

Suo

Xing

et al. 2019

BioMed Research International

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The magnitude and scope of the healthcare-associated infections (HCAIs) burden are underestimated worldwide, and have raised public concerns for their adverse effect on patient safety. In China, HCAIs still present an unneglected challenge and economic burden in recent decades. With the purpose of reducing the HCAI prevalence and enhancing precision management, China’s National Nosocomial Infection Management and Quality Control Center (NNIMQCC) had developed a Minimum Data Set (MDS) and corresponding Quality Indicators (QIs) for establishing national HCAI surveillance system, the data elements of which were repeatedly discussed, investigated, and confirmed by consensus of the expert team. The total number of data elements in MDS and QIs were 70 and 64, and they were both classified into seven categorical items. The NNIMQCC also had started two pilot projects to inspect the applicability, feasibility, and reliability of MDS. After years of hard work, more than 400 health facilities in 14 provinces have realized the importance of HCAI surveillance and contributed to developing an ability of exporting automatically standardized data to meet the requirement of MDS and participate in the regional surveillance system. Generally, the emergence of MDS and QIs in China indicates the beginning of the national HCAI surveillance based on information technology and computerized process data. The establishment of MDS aimed to use electronic health process data to ensure the data accuracy and comparability and to provide instructive and ongoing QIs to estimate and monitor the burden of HCAIs, and to evaluate the effects of interventions and direct health policy decision-making.

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“…Patients selfrate the presence of symptoms in the previous 2 weeks on a scale of 0 (not at all) to 4 (nearly every day). Scores range from minimal (0-4), to mild (5-9), moderate (10)(11)(12)(13)(14), moderately severe (15)(16)(17)(18)(19), and severe depression (20)(21)(22)(23)(24)(25)(26)(27). [36] Question 9 (Q9) asks specifically about suicidal ideation and has been established as a predicter risk of suicide attempt and death by suicide.…”

Section: Methodsmentioning

confidence: 99%

“…[18,19] All these internal factors serve as barriers that reduce an individuals' desire to seek care. External factors include a shortage and uneven distribution of behavioral health care clinicians, [20,21] high out-of-pocket costs, [22,23] and difficulty with paying for medications. [24] Behavioral health focuses on the connections between how behaviors impact someone's physical and mental health.…”

Section: Introductionmentioning

confidence: 99%

Use of a Mobile Health (mHealth) Platform for Remote Assessment of Suicidal Ideation, Depression, and Anxiety: A Longitudinal Retrospective Study

Pardes

Lynch

Miclette

et al. 2021

Innovations in Digital Health, Diagnostics, and Biomarkers

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Introduction There is growing support for the use of integrated measurement-based care to capture symptom data in real time so treatment providers can make informed decisions about intervention strategies for mental health problems, such as depression and anxiety, both of which are known to increase suicide. We examined the potential scalability and effectiveness of a mobile health (mHealth) application with integrated behavioral health functions to capture remote patient-reported measurement of suicidal ideation and overall symptoms of depression and anxiety. Methods This study was an observational retrospective review of deidentified patient data, including symptoms of suicidal ideation, depression, and anxiety as measured by the Patient Health Questionnaire-9 (PHQ-9) or Generalized Anxiety Disorder 7 (GAD-7) scale, which were administered to and completed by patients on a smartphone or desktop application. After controlling for age, sex, and the presence of moderate versus severe symptoms at baseline, mean scores were analyzed with the Student's t-test. Results Of patients who took the PHQ-9 assessment at baseline and 8 weeks later (n = 764), the proportion who endorsed suicidal thinking decreased from 25% to 14.66% (p < 0.001) over 8 weeks. The mean PHQ-9 score was reduced from 14.69 (standard error [SE], 4.09) to 10.50 (SE, 5.94; p < 0.001), and a subset of individuals who continued use and took the PHQ-9 again at 24 weeks (n = 185) had a further decrease to 9.03 (SE, 7.09, p < 0.01). Although 21.62% of this subset still had suicidal thinking, the frequency of suicidal thoughts decreased. Of patients who took the GAD-7 at baseline and 8 weeks (n = 797) the mean score decreased from 14.20 (SE, 3.31) to 10.08 (SE, 5.55; p < 0.001) at 8 weeks and to 7.48 (SE, 6.54; p < 0.001) for a subset (n = 278) who continued use and took a GAD-7 at 24 weeks (n = 278). The sum of subgroup samples is larger than the whole because of instances of comorbid depression and anxiety. Conclusion Remote assessments within technology-supported integrated behavioral health care were feasible at scale. Change in symptoms could be observed at the individual and group level in real time, which may allow clinical teams to adjust treatments and improve outcomes. Prospective controlled studies are needed to determine what factors contribute to reductions in symptom severity.

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Improving Data for Behavioral Health Workforce Planning: Development of a Minimum Data Set

Cited by 16 publications

References 14 publications

The Future of the Behavioral Health Workforce: Optimism and Opportunity

The Future of the Behavioral Health Workforce: Optimism and Opportunity

The Minimum Data Set and Quality Indicators for National Healthcare-Associated Infection Surveillance in Mainland China: Towards Precision Management

Use of a Mobile Health (mHealth) Platform for Remote Assessment of Suicidal Ideation, Depression, and Anxiety: A Longitudinal Retrospective Study

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