Healthcare Utilization and Symptom Variation Among Veterans Using Behavioral Telehealth Center Services

Sociodemographic Correlates of Affordable Community Behavioral Health Treatment Facility Availability in Florida: A Cross-Sectional Study

Behavioral health disorders such as mental disorders (MD) and substance use disorders (SUD) are epidemics in the US; however, the availability of treatment and prevention services remains low. This study assessed neighborhood-level sociodemographic attributes to characterize the availability of behavioral health treatment facilities in Florida. The American Community Survey and SAMHSA's Behavioral Health Treatment Locator were used to identify behavioral health treatment facilities in Florida and calculate their density by census tract. Spatial lag regression models were used to assess census tract-level correlates of facility density for 390 MD treatment facilities, 518 SUD facilities, and subsets of affordable MD and SUD facilities. Behavioral health treatment facility density was negatively associated with rurality and positively associated with the proportion of non-Latino Black, Latino, insured, and college-educated populations. Stark rural-urban disparities in behavioral health treatment availability present opportunities to prioritize telehealth and mobile interventions and improve treatment utilization.

The Use of Digital Health Services Among Patients and Citizens Living at Home: Scoping Review

BACKGROUND

The development of digital health services reflects not only the technical development of services but also a change in attitude and the way of thinking. It has become a cornerstone for engaging and activating patients and citizens in health management while living at home. Digital health services are also aimed at enhancing the efficiency and quality of services, while simultaneously providing services more cost-effectively. In 2020, the COVID-19 pandemic accelerated worldwide the development and use of digital services in response to requirements for social distancing and other regulations.

OBJECTIVE

The aim of this review is to identify and summarize how digital health services are being used among patients and citizens while living at home.

METHODS

The Joanna Briggs Institute (JBI) methodology for scoping reviews was used as guidance. A search conducted in 3 databases (CINAHL, PubMed, Scopus) resulted in 419 papers. The reporting was conducted by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review (PRISMA-ScR), and the analysis of the included papers was performed using a framework consisting of 5 clusters describing the use of digital health services. After screening and excluding papers that did not match the inclusion criteria, 88 (21%) papers from 2010 to 2022 were included in the final analysis.

RESULTS

Results indicated that digital health services are used in different situations and among different kinds of populations. In most studies, digital health services were used in the form of video visits or consultations. The telephone was also used regularly for consultations. Other services, such as remote monitoring and transmitting of recorded information and the use the of internet or portals for searching information, were observed as well. Alerts, emergency systems, and reminders were observed to offer possibilities of use, for example, among older people. The digital health services also showed to have potential for use in patient education.

CONCLUSIONS

The development of digital services reflects a shift toward the provision of care regardless of time and place. It also reflects a shift toward emphasis on patient-centered care, meaning activating and engaging patients in their own care as they use digital services for various health-related purposes. Despite the development of digital services, many challenges (eg, adequate infrastructure) still prevail worldwide.

Impact of COVID-19 on service delivery for an evidence-based behavioral treatment for families involved in the child welfare system

The novel coronavirus, COVID-19, has dramatically impacted clinical service delivery, particularly substance use treatment. The Families Actively Improving Relationships (FAIR) program is an action-oriented, evidence-based behavioral treatment for opioid and methamphetamine disorders in parents involved in the child welfare (CW) system. A seven-clinician team operates out of a Medicaid-funded clinic, primarily delivering services in the community. Attending to underlying mechanisms of FAIR's intervention strategies that promote client engagement and clinical outcomes, FAIR rapidly adapted procedures in response to COVID-19-onset disruptions. This study analyzed administrative records and Medicaid claims data from January 2019 to July 2020, including 157 clients and 17,449 claims. Analyses considered COVID-19 presence as March–July 2020. The study examined changes in the frequency and reimbursement volume of FAIR service delivery pre- and postonset of COVID-19. Although average monthly reimbursement per clinician did not significantly decline, reimbursement per client significantly declined by 31% (pre: $1005 [$732]; post: $698 [$546], p < .001). Clinicians delivered services on significantly more days per month during COVID-19 (mean (sd) = 16.73 (6.33); 20.26 (7.24), t(127) = −2.70, p < .01). Average clinician caseload size was stable, as was the average monthly service receipt days for clients. Thus, this study attributes reductions in reimbursement per client when FAIR provided services remotely to the elimination of in-person billable services and reductions in session length, but not in frequency. Medicaid-funded clinics and community-based substance use treatment interventions such as FAIR can successfully sustain and implement substance use treatment practices with deliberate, rapid adaptation to ensure that families receive needed supports in the face of contextual crises.

Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders

Background

Major Depressive Disorder (MDD) is one of the most common mental illnesses and a leading cause of disability worldwide. Electronic Health Records (EHR) allow researchers to conduct unprecedented large-scale observational studies investigating MDD, its disease development and its interaction with other health outcomes. While there exist methods to classify patients as clear cases or controls, given specific data requirements, there are presently no simple, generalizable, and validated methods to classify an entire patient population into varying groups of depression likelihood and severity.

Methods

We have tested a simple, pragmatic electronic phenotype algorithm that classifies patients into one of five mutually exclusive, ordinal groups, varying in depression phenotype. Using data from an integrated health system on 278,026 patients from a 10-year study period we have tested the convergent validity of these constructs using measures of external validation, including patterns of psychiatric prescriptions, symptom severity, indicators of suicidality, comorbidity, mortality, health care utilization, and polygenic risk scores for MDD.

Results

We found consistent patterns of increasing morbidity and/or adverse outcomes across the five groups, providing evidence for convergent validity.

Limitations

The study population is from a single rural integrated health system which is predominantly white, possibly limiting its generalizability.

Conclusion

Our study provides initial evidence that a simple algorithm, generalizable to most EHR data sets, provides categories with meaningful face and convergent validity that can be used for stratification of an entire patient population.

Factors associated with the intention to use adult preventive health services in Taiwan

OBJECTIVE

This research aimed to examine the factors associated with the intention to use adult preventive health services in Taiwan.

DESIGN AND SAMPLE

Using Andersen's behavioral model, we employed a cross-sectional descriptive design to investigate 500 samples from four communities in southern Taiwan.

MEASURES

We used a self-reported survey to assess participants' intention to use adult preventive health services, and the predisposing, enabling, and need factors influencing their intention.

RESULTS

Intention to use adult preventive health services was more significantly explained by predisposing and enabling factors than by need factors. In addition, a lack of fixed medical facilities (enabling factor) and Taiwanese origin (predisposing factor) were associated with decreased odds of intention to use adult preventive health services. An educational level of high school or below (predisposing factor), higher amounts of exercise (predisposing factor), and lower barriers to use preventive health services (predisposing factor) were associated with increased odds of intention to use adult preventive health services.

CONCLUSION

The findings can assist public health nurses in identifying high-risk groups with lower intentions of using adult preventive health services. Additionally, community-based health education program can be developed to increase people's intention to use adult preventive health services.

Technology-Based Alcohol Interventions in Primary Care: Systematic Review

Background

Primary care settings are uniquely positioned to reach individuals at risk of alcohol use disorder through technology-delivered behavioral health interventions. Despite emerging effectiveness data, few efforts have been made to summarize the collective findings from these delivery approaches.

Objective

The aim of this study was to review recent literature on the use of technology to deliver, enhance, or support the implementation of alcohol-related interventions in primary care. We focused on addressing questions related to (1) categorization or target of the intervention, (2) descriptive characteristics and context of delivery, (3) reported efficacy, and (4) factors influencing efficacy.

Methods

We conducted a comprehensive search and systematic review of completed studies at the intersection of primary care, technology, and alcohol-related problems published from January 2000 to December 2018 within EBSCO databases, ProQuest Dissertations, and Cochrane Reviews. Of 2307 initial records, 42 were included and coded independently by 2 investigators.

Results

Compared with the years of 2000 to 2009, published studies on technology-based alcohol interventions in primary care nearly tripled during the years of 2010 to 2018. Of the 42 included studies, 28 (64%) were randomized controlled trials. Furthermore, studies were rated on risk of bias and found to be predominantly low risk (n=18), followed by moderate risk (n=16), and high risk (n=8). Of the 24 studies with primary or secondary efficacy outcomes related to drinking and drinking-related harms, 17 (71%) reported reduced drinking or harm in all primary and secondary efficacy outcomes. Furthermore, of the 31 studies with direct comparisons with treatment as usual (TAU), 13 (42%) reported that at least half of the primary and secondary efficacy outcomes of the technology-based interventions were superior to TAU. High efficacy was associated with provider involvement and the reported use of an implementation strategy to deliver the technology-based intervention.

Conclusions

Our systematic review has highlighted a pattern of growth in the number of studies evaluating technology-based alcohol interventions in primary care. Although these interventions appear to be largely beneficial in primary care, outcomes may be enhanced by provider involvement and implementation strategy use. This review enables better understanding of the typologies and efficacy of these interventions and informs recommendations for those developing and implementing technology-based alcohol interventions in primary care settings.

Do healthier lifestyles lead to less utilization of healthcare resources?

Background

Governments are urged to determine methods to control the use of medical resources and curb the rise of healthcare costs. The question is, do health behaviors have an impact on the use of medical resources? This study aims to identify and understand the difference in the number of outpatient visits and health examinations based on various health behaviors and to determine whether patients seek medical care for illness from the same physicians.

Methods

This study used the dataset derived from the Department of Budget, Accounting and Statistics of Kaohsiung, Taiwan in 2005. Persons older than 15 years were surveyed using an on-site questionnaire. A total of 2911 persons were enrolled in this study. Independent t-tests, chi-square tests, one-way ANOVA, multiple linear regression and binominal logistic regression were used in the data analysis.

Results

The regression model for the frequency of doctor visits, health examinations, and whether the same physician is sought for medical care has demonstrated significant correlations with gender, age and education-level variables. Four health behaviors (i.e., exercise habits, dietary habits, regular blood pressure measurement, drinking habits) exhibited a significant correlation with healthcare utilization (P <0.05).

Conclusions

Healthy lifestyles lead to an increase in the utilization of preventive health services. However, there is not much significantly reducing the number of outpatient visits in people with health behaviors. Specifically, people with regular exercise habits and who take their blood pressure measurement regularly have an increased number of outpatient visits. It is suggested that more available and accessible health consultation services be provided to inculcate in the general public the importance of maintaining a healthy lifestyle.