The Use of Telehealth in Depression Treatment during the Crisis Caused by COVID-19

The effectiveness of telehealth interventions in suicide prevention: A systematic review and meta-analysis

BACKGROUND

Suicidal attempt is a significant risk factor for future attempts, with the highest risk during the first-year post-suicide. Telepsychiatry has shown promise by providing easy access to evidence-based interventions during mental health crises.

AIMS

investigation the effectiveness of telehealth interventions in suicide prevention.

METHODS

Four electronic databases (PubMed, Scopus, Web of Science, and Ovid) were systematically searched for studies on patients undergoing telepsychiatry intervention (TPI) up to June 2022. Following PRISMA guidelines, a systematic review and meta-analysis were conducted to investigate the effectiveness of telehealth interventions in suicide prevention. Continuous data were pooled as standardised mean difference (SMD), and dichotomous data were pooled as risk ratio using the random effects model with the corresponding 95% confidence intervals (CI).

RESULTS

Sixteen studies were included in the review. Most studies were case-control and randomised controlled trials conducted in Europe and North America. The findings of the studies generally showed that TPIs are effective in reducing suicide rates (odds ratio = 0.68; 95% CI [-0.47, 0.98], p = .04) and suicidal reattempts. The interventions were also found to be well-accepted, with high retention rates.

CONCLUSION

Our results suggest that TPIs are well-accepted and effective in reducing suicide rates and reattempts. It is recommended to maintain telephone follow-ups for at least 12 months. Further research is needed to understand the potential of telepsychiatry in suicide prevention fully.

Insights of Parents and Parents-To-Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review

INTRODUCTION

Chatbots, which are also known as conversational or virtual agents, are digital programs that can interact with humans using voice, text, or animation. They have shown promise in providing preconception, pregnancy, and postpartum care. This review aims to consolidate the insights of parents and parents-to-be in using chatbots to improve their preconception, pregnancy, and postpartum health.

METHODS

Seven electronic databases were searched from their inception dates until April 2022 (PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, and ProQuest Dissertations and Theses Global) for relevant studies. English language primary studies that were conducted on parents or parents-to-be aged ≥18 years old who had undergone interventions involving the use of any type of chatbot were included in this review. The quality of included studies was appraised using the Mixed Methods Appraisal Tool. A convergent qualitative synthesis design for mixed studies reviews was used to synthesize the findings, and results were thematically analyzed.

RESULTS

Fifteen studies met the inclusion criteria: quantitative (n = 11), qualitative (n = 1), and mixed method (n = 3). Three main themes were identified: (1) welcoming a new health resource, (2) obstacles blocking the way, and (3) moving toward a digital health era.

DISCUSSION

Parents and parents-to-be appreciated the informational, socioemotional, and psychological support provided by chatbots. Recommendations for technological improvements in the functionality of the chatbots were made that include training sessions for health care providers to familiarize them with this new digital technology. Multidisciplinary chatbot development teams could also be established to develop more comprehensive chatbot-delivered health programs for more diverse populations.

Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic has become a serious public health concern for older adults and amplified the value of deploying telehealth solutions. The purpose of this study was to investigate telehealth offered by providers among U.S. Medicare beneficiaries aged 65 years and older during the COVID-19 pandemic.

METHODS

This cross-sectional study analyzed Medicare beneficiaries aged 65 years and older using data from the Medicare Current Beneficiary Survey, Winter 2021 COVID-19 Supplement ([Formula: see text]). We identified variables that were associated with telehealth offered by primary care physicians and beneficiaries' access to the Internet through a multivariate classification analysis utilizing Random Forest machine learning techniques.

FINDINGS

For study participants interviewed by telephone, 81.06% of primary care providers provided telehealth services, and 84.62% of the Medicare beneficiaries had access to the Internet. The survey response rates for each outcome were 74.86% and 99.55% respectively. The two outcomes were positively correlated ([Formula: see text]). The Our machine learning model predicted the outcomes accurately utilizing 44 variables. Residing area and race/ethnicity were most informative for predicting telehealth coverage, and Medicare-Medicaid dual eligibility and income were most informative for predicting Internet access. Other strong correlates included age, ability to access basic needs and certain mental and physical health conditions. Interactions were found among statuses of residing area, age, Medicare Advantage and heart conditions that intensified the disparity of outcomes.

CONCLUSIONS

We found that telehealth offered by providers likely increased during the COVID-19 pandemic for older beneficiaries, providing important access to care for certain subgroups. Policymakers must continue to identify effective means of delivering telehealth services, modernize the framework of regulatory, accreditation and reimbursement, and address disparities in access to telehealth with a particular focus on underserved communities.