Implementation of a Centralized Telepsychiatry Consult Service in a Multi-Hospital Metropolitan Health Care System: Challenges and Opportunities

Impact of COVID-19 on mental health and social service provision in Singapore: Learnings from a descriptive mixed-methods study for future resource planning

Introduction

COVID-19 restrictions and lockdown measures have led to impact on the mental health and social service delivery, including the rapid adoption of digital solutions to mental healthcare delivery in Singapore. This study aims to rapidly document the quantitative and qualitative impact of the pandemic restrictions on mental health and social services.

Method

This descriptive mixed-methods study consisted of a survey arm and a qualitative arm. Providers and clients from eligible mental health organisations and social service agencies were recruited. The respondents completed a survey on changes to their service delivery and the extent of impact of the pandemic on their clients. In-depth interviews were also conducted with representatives of the organisations and clients.

Results

There were 31 organisation representatives to the survey, while 16 providers and 3 clients participated in the in-depth interviews. In the survey arm, all representatives reported pivoting to remote means of delivering care during the lockdown. An increase in new client referrals and more domestic violence were reported from primary and community health partners respondents who made up 55.5% of health partners respondents. Three distinct response themes were recorded in the in-depth interviews: impact on clients, impact on service provision and impact on mental health landscape.

Conclusion

Two key findings are distilled: (1) mental health and social services have been challenged to meet the evolving demands brought about by the pandemic; (2) more societal attention is needed on mental health and social services. The findings indicate a necessary need for extensive studies on COVID-19 that can inform policies to build a more pandemic-resilient nation.

Best Practices for the Provision of Virtual Care: A Systematic Review of Current Guidelines

Background: Telemedicine has emerged as a feasible adjunct to in-person care in multiple clinical contexts, and its role has expanded in the context of the COVID-19 pandemic. However, there exists a general paucity of information surrounding best practice recommendations for conducting specialty or disease-specific virtual care. The purpose of this study was to systematically review existing best practice guidelines for conducting telemedicine encounters. Methods: A systematic review of MEDLINE, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) of existing guidelines for the provision of virtual care was performed. Data were synthesized using the Synthesis Without Meta-Analysis (SWiM) guideline, and the Appraisal of Guidelines for Research & Evaluation Instrument (AGREE II) tool was used to evaluate the quality of evidence. Results: A total of 60 guidelines for virtual care encounters were included; 52% of these were published in the context of the COVID-19 pandemic. The majority (95%) of provider guidelines specified a type of virtual encounter to which their guidelines applied. Of included guidelines, 65% provided guidance regarding confidentiality/security, 58% discussed technology/setup, and 56% commented on patient consent. Thirty-one guidelines also provided guidance to patients or caregivers. Overall guideline quality was poor. Discussion: General best practices for successful telemedicine encounters include ensuring confidentiality and consent, preparation before a visit, and clear patient communication. Future studies should aim to objectively assess the efficacy of existing clinician practices and guidelines on patient attitudes and outcomes to further optimize the provision of virtual care for specific patient populations.

Refining the Implementation of a Hub-and-Spoke Model for TelePain Through Qualitative Inquiry

The hub-and-spoke telehealth model leverages centrally located providers who utilize telehealth technology to bring specialized care to medically underserved areas. This model has the potential to promote equitable access to healthcare. However, few studies address how to facilitate the adoption and implementation of hub-and-spoke telehealth. We examined spoke site providers' experiences with TelePain, a national hub-and-spoke model of interdisciplinary chronic pain care, with a focus on improving future implementation. We conducted semi-structured individual interviews (20-45 min) with 27 VA spoke site providers via teleconferencing between August 2020 and February 2021. Interview transcripts were coded in Atlas.ti 8.0 using deductive (identified a priori and used to build the interview guide) and inductive (emerging) codes. Our analysis identified the following themes stressed by the spoke sites: (1) spoke sites needed to envision how TelePain services would work at their site before deciding to adopt; (2) TelePain implementation needed to fit into local existing care processes; (3) hub sites needed to understand spoke sites' context (e.g., via needs assessment) to tailor the services accordingly, and (4) hub-and-spoke sites needed to establish bidirectional communication. Our findings provide a practical guide to improve future rollout of hub-and-spoke telehealth models. Recommendations focus on the role of the hub site in promoting program adoption by (1) developing a clear and detailed marketing plan and (2) considering how the program can be adapted to fit the local spoke site context. To improve implementation, hub-and-spoke sites must establish ongoing and consistent bidirectional communication; this is particularly critical in the everchanging post-peak pandemic healthcare system. An important next step is the development of recommendations and guidelines for implementing hub-and-spoke telehealth, as well as examining pain outcomes for patients touched by this program.

Survey of Provider Experiences of Telepsychiatry and Tele-Consultation-Liaison Psychiatry

Background

The COVID-19 pandemic created pressure to implement telepsychiatry across practice models.

Objective

We sought to evaluate the overall success of this change and to identify what types of practice settings, provider groups, and patient groups were best served by telepsychiatry and telepsychotherapy utilization. We were particularly interested in how providers of consultation-liaison psychiatry adapted to remote care.

Methods

An anonymous provider survey querying demographics, education, training, technological experience, practice setting, treatment modalities, patient groups, transition process, and outcomes was made openly available via social media and professional listservs. We used multivariable regression modeling to evaluate for predictors of the positive outcomes of overall satisfaction, subjective ability to diagnose and treat patients adequately using exclusively telepsychiatric platforms, and patient satisfaction by proxy.

Results

Three hundred thirty-three respondents, mostly young (59.4% younger than 50 years), female (69.7%), and physicians (67.9%), completed the survey. One hundred ninety-seven (59.1%) worked in consultation-liaison psychiatry. Of the total, 85.9% gave affirmative answers to overall satisfaction. Multivariable linear regression models found that satisfaction was predicted by general comfort with technology (P < 0.001), but negatively correlated with having technical issues (P < 0.001), a priori skepticism (P < 0.001), clinician being male (P = 0.004), and treating LGBTQ+ patients (P = 0.022). Completeness was associated with having training in telehealth (P = 0.039) and general comfort with technology (P < 0.001) but negatively associated with treating LGBTQ+ patients (P = 0.024) or inpatients (P = 0.002). Patient satisfaction by proxy was positively associated with general comfort with technology (P < 0.001) and the respondent being a nonphysician (P = 0.004) and negatively associated with encountering a technical issue (P = 0.013) or treating inpatients (P = 0.045). Consultation-liaison psychiatrists had similar results overall and were more likely to have other staff assist in making televisits effective (mean [standard deviation]: −1.25 [3.57] versus −2.76 [3.27], P < 0.001) especially if consultative (mean [standard deviation]: −0.87 [3.67] versus −2.39 [3.01], P = 0.010).

Conclusions

This study suggests high rates of overall satisfaction in telepsychiatry adoption, even in consultation-liaison psychiatry. There is distinct benefit in bolstering training, providing technical support, and addressing skepticism. Future research should include patient surveys and control groups and should focus on vulnerable populations such as sexual and gender minorities.

Change Management and Digital Innovations in Hospitals of Five European Countries

The objective of the paper is to evaluate the quality of systemic change management (CHM) and readiness for change in five Central European countries. The secondary goal is to identify trends and upcoming changes in the field of digital innovations in healthcare. The results show that all compared countries (regardless of their historical context) deal with similar CHM challenges with a rather similar degree of success. A questionnaire distributed to hospitals clearly showed that there is still considerable room for improvement in terms of the use of specific CHM tools. A review focused on digital innovations based on the PRISMA statement showed that there are five main directions, namely, data collection and integration, telemedicine, artificial intelligence, electronic medical records, and M-Health. In the hospital environment, there are considerable reservations in applying change management principles, as well as the absence of a systemic approach. The main factors that must be monitored for a successful and sustainable CHM include a clearly defined and widely communicated vision, early engagement of all stakeholders, precisely set rules, adaptation to the local context and culture, provision of a technical base, and a step-by-step implementation with strong feedback.