Does the Choice Between a Telehealth and an In-Person Appointment Change Patient Attendance?

Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics

Introduction

Non-attendance (NA) causes additional burden on the outpatient services due to clinician time and other resources being wasted, and it lengthens wait lists for patients. Telehealth, the delivery of health services remotely using digital technologies, is one promising approach to accommodate patient needs while offering more flexibility in outpatient services. However, there is limited evidence about whether offering telehealth consults as an option can change NA rates, or about the preferences of hospital outpatients for telehealth compared to in-person consults. We model patient preferences with a Maximum Entropy Inverse Reinforcement Learning (IRL) behaviour model, allowing for the calculation of general population- and demographic-specific relative preferences for consult modality. The aim of this research is to use real-world data to model patient preferences for consult modality using Maximum Entropy IRL behaviour model.

Methods

Retrospective data were collected from an immunology outpatient clinic associated with a large metropolitan hospital in Brisbane, Australia. We used IRL with the Maximum Entropy behaviour model to learn outpatient preferences for appointment modality (telehealth or in-person) and to derive demographic predictors of attendance or NA. IRL models patients as decision making agents interacting sequentially over multiple time-steps, allowing for present actions to impact future outcomes, unlike previous models applied in this domain.

Results

We found statistically significant (α = 0.05) within-group preferences for telehealth consult modality in privately paying patients, patients who both identify as First Nations individuals and those who do not, patients aged 50-60, who did not require an interpreter, for the general population, and for the female population. We also found significant within-group preferences for in-person consult modality for patients who require an interpreter and for patients younger than 30.

Discussion

Using the Maximum Entropy IRL sequential behaviour model, our results agree with previous evidence that non-attendance can be reduced when telehealth is offered in outpatient clinics. Our results complement previous studies using non-sequential modelling methodologies. Our preference and NA prediction results may be useful to outpatient clinic administrators to tailor services to specific patient groups, such as scheduling text message consult reminders if a given patient is predicted to be more likely to NA.

Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study

BACKGROUND

The COVID-19 pandemic triggered policy changes in 2020 that allowed insurance companies to reimburse telehealth services, leading to increased telehealth use, especially in rural and underserved areas. However, with many emergency rules ending in 2022, patients and health care providers face potential challenges in accessing these services.

OBJECTIVE

This study analyzed telehealth use across specialties in Arkansas before and after the pandemic (2017-2022) using data from electronic medical records from the University of Arkansas for Medical Sciences Medical Center. We explored trends in insurance coverage for telehealth visits and developed metrics to compare the performance of telehealth versus in-person visits across various specialties. The results inform insurance coverage decisions for telehealth services.

METHODS

We used pre- and postpandemic data to determine the impacts of the COVID-19 pandemic and changes in reimbursement policies on telehealth visits. We proposed a framework to calculate 3 appointment metrics: indirect waiting time, direct waiting time, and appointment length. Statistical analysis tools were used to compare the performance of telehealth and in-person visits across the following specialties: obstetrics and gynecology, psychiatry, family medicine, gerontology, internal medicine, neurology, and neurosurgery. We used data from approximately 4 million in-person visits and 300,000 telehealth visits collected from 2017 to 2022.

RESULTS

Our analysis revealed a statistically significant increase in telehealth visits across all specialties (P<.001), showing an 89% increase from 51,589 visits in 2019 to 97,461 visits in 2020, followed by a 21% increase to 117,730 visits in 2021. Around 92.57% (134,221/145,001) of telehealth patients from 2020 to 2022 were covered by Medicare, Blue Cross and Blue Shield, commercial and managed care, Medicaid, and Medicare Managed Care. In-person visits covered by Medicare and Medicaid decreased by 15%, from 313,196 in 2019 to 264,696 in 2022. During 2020 to 2022, about 22.84% (33,123/145,001) of total telehealth visits during this period were covered by Medicare and 53.58% (86,317/161,092) were in psychiatry, obstetrics and gynecology, and family medicine. We noticed a statistically significant decrease (P<.001) in the average indirect waiting time for telehealth visits, from 48.4 to 27.7 days, and a statistically significant reduction in appointment length, from 93.2 minutes in 2020 to 39.59 minutes in 2022. The indirect waiting time for psychiatry telehealth visits was almost 50% shorter than that for in-person visits. These findings highlight the potential benefits of telehealth in providing access to health care, particularly for patients needing psychiatric care.

CONCLUSIONS

Reverting to prepandemic regulations could negatively affect Arkansas, where many live in underserved areas. Our analysis shows that telehealth use remained stable beyond 2020, with psychiatry visits continuing to grow. These findings may guide insurance and policy decisions in Arkansas and other regions facing similar access challenges.

Telemedicine is associated with reduced socioeconomic disparities in outpatient clinic no-show rates

INTRODUCTION

The global pandemic caused by coronavirus (COVID-19) sped up the adoption of telemedicine. We aimed to assess whether factors associated with no-show differed between in-person and telemedicine visits. The focus is on understanding how social economic factors affect patient no-show for the two modalities of visits.

METHODS

We utilized electronic health records data for outpatient internal medicine visits at a large urban academic medical center, from February 1, 2020 to December 31, 2020. A mixed-effect logistic regression was used. We performed stratified analysis for each modality of visit and a combined analysis with interaction terms between exposure variables and visit modality.

RESULTS

A total of 111,725 visits for 72,603 patients were identified. Patient demographics (age, gender, race, income, partner), lead days, and primary insurance were significantly different between the two visit modalities. Our multivariable regression analyses showed that the impact of sociodemographic factors, such as Medicaid insurance (OR 1.23, p < 0.01 for in-person; OR 1.03, p = 0.57 for telemedicine; p < 0.01 for interaction), Medicare insurance (OR 1.11, p = 0.04 for in-person; OR 0.95, p = 0.32 for telemedicine; p = 0.03 for interaction) and Black race (OR 1.36, p < 0.01 for in-person; OR 1.20, p < 0.01 for telemedicine; p = 0.03 for interaction), on increased odds of no-show was less for telemedicine visits than for in-person visits. In addition, inclement weather and younger age had less impact on no-show for telemedicine visits.

DISCUSSION

Our findings indicated that if adopted successfully, telemedicine had the potential to reduce no-show rate for vulnerable patient groups and reduce the disparity between patients from different socioeconomic backgrounds.

Real-time video telerehabilitation shows comparable satisfaction and similar or better attendance and adherence compared with in-person physiotherapy: a systematic review

QUESTION

How does physiotherapy delivered by real-time, video-based telerehabilitation compare with in-person delivery for the outcomes of attendance, adherence and satisfaction?

DESIGN

Systematic review of randomised control trials indexed in PubMed, CINAHL, Embase, Cochrane and PEDro on 12 March 2024.

PARTICIPANTS

Adults aged > 18 years.

INTERVENTION

Physiotherapy delivered via real-time video telerehabilitation.

OUTCOME MEASURES

Attendance, adherence and satisfaction.

RESULTS

Eight studies were included for attendance (n = 1,110), nine studies for adherence (n = 1,190) and 12 studies for satisfaction (n = 1,247). Telerehabilitation resulted in attendance at treatment sessions that was 8% higher (95% CI -1 to 18) and adherence to exercise programs that was 9% higher (95% CI 2 to 16) when compared with in-person physiotherapy. Satisfaction was similar with both modes of delivery (SMD 0.03 in favour of telerehabilitation, 95% CI -0.23 to 0.28). The level of certainty assessed by GRADE ranged from very low to low, primarily due to inconsistency and high risk of bias.

DISCUSSION

Attendance at appointments among participants assigned to telerehabilitation was somewhere between similar to and considerably higher than among control participants. Adherence to self-management with telerehabilitation was better than with in-person delivery, although with some uncertainty about the magnitude of the effect. Reported satisfaction levels were similar between the two modes of treatment delivery. Given the significance of attendance, adherence and satisfaction for successful outcomes, telerehabilitation offers a valuable alternative mode for physiotherapy delivery.

CONCLUSION

Real-time telerehabilitation has potentially favourable effects on attendance at treatment appointments and adherence to exercise programs, with similar satisfaction when compared with traditional in-person physiotherapy.

REGISTRATION

PROSPERO CRD42022329906.

Technologically Punctual? A Preliminary Evaluation of Differences between Face-to-Face and Video Check-In Times for Initial Mental Health Services

Video-based telehealth provides mental health services to underserved populations. As decision makers reevaluate service offerings following COVID-19, it remains prudent to evaluate the utility of ongoing telehealth options among rural healthcare facilities, the primary healthcare source for many rural individuals. As research continues to compare video and face-to-face services, one understudied component is attendance. Although video-based telehealth has demonstrated improved show-rates for mental health services when compared to face-to-face methods, limited work has clarified whether video improves patient punctuality for these appointments, a documented challenge prevalent for patients with mental health-related concerns. A retrospective electronic record review of psychiatry, psychology, and social work initial patient visits between 2018-2022 was conducted (N = 14,088). Face-to-face visits demonstrated a mean check-in time of -10.78 min (SD = 26.77), while video visits demonstrated a mean check-in time of -6.44 (SD = 23.87). Binary logistic regressions suggested that increased video usage was associated with a decreased likelihood of late check-in (B = -0.10, S. E. = 0.05, Exp(B) = 0.91, 95% CI = 0.83 - 1.00). Exploratory binary logistic regressions evaluated age, sex, race, ethnicity, specialty, insurance type, and diagnostic classification influence on video initial visits. Increased video usage was associated with a statistically decreased likelihood of late check-in; however, clinically, both face-to-face and video visits exhibited mean check-in times prior to the initial visit's scheduled time. As such, mental health organizations are encouraged to continue offering both face-to-face and video as options to foster evidence-based practices to the broadest population.

Improvement in Adherance to Anesthesia Preoperative Appointment With Telemedicine: A Retrospective Analysis

BACKGROUND

Amidst the coronavirus disease 2019 (COVID-19) pandemic, the sudden demand for virtual medical visits drove the expansion of telemedicine across all medical specialties. Current literature demonstrates limited knowledge of the impact of telehealth on appointment adherence, particularly in preoperative anesthesia evaluations. This study aims to describe the impact of telemedicine-based anesthesia evaluation and its effects on appointment completion.  Methods: This was a retrospective, non-randomized, cohort study of adult patients at the University of California, Los Angeles, United States, who received preoperative anesthesia evaluations by telemedicine or in-person in an academic medical center. From January to September 2021, we evaluated telemedicine and in-person appointment completion in patients scheduled for surgery. The primary outcome was the incidence of appointment completion. The secondary outcomes included appointment no-shows and cancellations.  Results: Of 1332 patients included in this study, 956 patients received telehealth visits while 376 patients received in-person preoperative anesthesia evaluations. Compared to the in-person group, the telemedicine group had more appointment completions (81.38% vs 76.60%), fewer cancellations (12.55% vs 19.41%), and no statistical difference in appointment no-shows (6.07% vs 3.99%). Compared to the in-person group, patients who received telemedicine evaluations were younger (55.81 ± 18.38 vs 65.97 ± 15.19), less likely Native American and Alaska Native (0.31% vs 1.60%), more likely of Hispanic or Latino ethnicity (16.63% vs 12.23%), required less interpreter services (4.18% vs 9.31%), had more private insurance coverage (53.45% vs 37.50%) and less Medicare coverage (37.03% vs 50.53%).

CONCLUSIONS

This study demonstrates that telemedicine can improve preoperative anesthesia appointment completion and decrease appointment cancellations. We also demonstrate potential shortcomings of telemedicine in serving patients who are older, require interpreter services, or are non-privately insured. These inequities highlight potential avenues to increase equity and access to telemedicine.

Family treatment courts and the COVID-19 pandemic: Barriers and facilitators to program implementation, client engagement, and recovery

INTRODUCTION

Family Treatment Courts (FTCs) serve child welfare-involved parents with substance use issues who are working toward recovery and reunification with their children. Research has linked FTCs to successful outcomes such as treatment access and completion and family reunification, but there has been less attention to factors that hinder and facilitate program implementation and client engagement. Moreover, little is known about how the shift to virtual services during the COVID-19 pandemic impacted FTC programs and the families they serve.

METHODS

This study examined interview data gathered from staff in six FTCs located in different regions of the country to investigate the impact of the pandemic on programs and the clients they serve. Interviews conducted with clients from one FTC in the Midwest reinforce the data.

RESULTS

FTC programs and professionals adjusted to the pandemic by attempting to replicate face-to-face services in an online environment. Virtual services were vital for sustaining FTCs and mitigating barriers to client engagement during the pandemic. At the same time, FTCs were compelled to navigate new barriers to online program implementation as well as acute challenges that clients faced such as greater isolation and reduced treatment access.

CONCLUSIONS

We discuss implications from these findings with an eye toward maximizing FTC implementation and impact through the intentional use of both in-person programming and online technology after the pandemic.

Supporting Cancer Survivors Following Treatment for Non-Hodgkin's and Hodgkin's Lymphoma: A Pilot Study Assessing the Feasibility and Process Outcomes of a Nurse-Led Intervention

OBJECTIVE

Lymphoma is the sixth most common cancer in Australia and comprises 2.8% of worldwide cancer diagnoses. Research targeting development and evaluation of post-treatment care for debilitating complications resulting from the disease and its treatment is limited. This study aimed to assess the feasibility and acceptability of a nurse-led survivorship intervention, post-treatment in Hodgkin's and non-Hodgkin's lymphoma survivors.

METHODS

A single-center, prospective, 3-arm, pilot, randomized controlled, parallel-group trial was used. People with lymphoma were recruited and randomized to the intervention (ENGAGE), education booklet only, or usual care arm. Participants receiving ENGAGE received an educational booklet and were offered 3 consultations (via various modes) with a cancer nurse to develop a survivorship care plan and healthcare goals. Participant distress and intervention acceptability was measured at baseline and 12-wk. Acceptability was measured via a satisfaction survey using a 11-point scale. Feasibility was measured using participation, retention rates, and process outcomes. Data were analyzed using descriptive statistics.

RESULTS

Thirty-four participants with HL and NHL were recruited to the study (11 = intervention, 11 = information only, 12 = usual care). Twenty-seven participants (79%) completed all time points from baseline to 12 wk. Seven (88%) of the 8 participants receiving ENGAGE completed all consultations using various modes to communicate with the nurse (videoconference 14/23, 61%; phone 5/23, 22%; face-to-face 4/23, 17%). Participants who completed the intervention were highly satisfied with ENGAGE.

CONCLUSION

The ENGAGE intervention is feasible and highly acceptable for lymphoma survivors. These findings will inform a larger trial assessing effectiveness and cost effectiveness of ENGAGE.

Drivers and barriers of patients' acceptance of video consultation in cancer care

Background

Due to digitization in the medical sector, many healthcare interactions are switched to online services. This study assessed the acceptance of video consultations (VCs) in cancer care, and determined drivers and barriers of acceptance.

Methods

A cross-sectional online-based survey study was conducted in Germany from February 2022 to February 2023. Recruitment took place at oncology outpatient clinics, general practitioners, oncology practices and via cancer-related social media channels. Inclusion criteria were a cancer diagnosis, cancer treatment and internet access. Sociodemographic, medical data, eHealth-related data were acquired via an online assessment. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used to determine the acceptance of VC and its predictors.

Results

Of N = 350 cancer patients, 56.0% (n = 196) reported high acceptance of VC, 28.0% (n = 98) stated moderate acceptance and 16.0% (n = 56) indicated low acceptance. Factors influencing acceptance were younger age (β = -.28, p < .001), female gender (β = .35, p = .005), stage of disease (β = .11, p = .032), high digital confidence (β = .14, p = .010), low internet anxiety (β = -.21, p = .001), high digital overload (β = -.12, p = .022), high eHealth literacy (β = .14, p = .028), personal trust (β = -.25, p < .001), internet use (β = .17, p = .002), and the UTAUT predictors: performance expectancy (β = .24, p < .001), effort expectancy (β = .26, p < .001), and social influence (β = .34, p < .001).

Conclusions

Patients' acceptance of VC in cancer care is high. Drivers and barriers to acceptance identified should be considered for personalized applications. Considering the growing demand for cancer care establishing digital healthcare solutions is justified.

Attendance at remote versus in-person outpatient appointments in an NHS Trust

INTRODUCTION

With the growing use of remote appointments within the National Health Service, there is a need to understand potential barriers of access to care for some patients. In this observational study, we examined missed appointments rates, comparing remote and in-person appointments among different patient groups.

METHODS

We analysed adult outpatient appointments at Imperial College Healthcare NHS Trust in Northwest London in 2021. Rates of missed appointments per patient were compared between remote versus in-person appointments using negative binomial regression models. Models were stratified by appointment type (first or a follow-up).

RESULTS

There were 874,659 outpatient appointments for 189,882 patients, 29.5% of whom missed at least one appointment. Missed rates were 12.5% for remote first appointments and 9.2% for in-person first appointments. Remote and in-person follow-up appointments were missed at similar rates (10.4% and 10.7%, respectively). For remote and in-person appointments, younger patients, residents of more deprived areas, and patients of Black, Mixed and 'other' ethnicities missed more appointments. Male patients missed more in-person appointments, particularly at younger ages, but gender differences were minimal for remote appointments. Patients with long-term conditions (LTCs) missed more first appointments, whether in-person or remote. In follow-up appointments, patients with LTCs missed more in-person appointments but fewer remote appointments.

DISCUSSION

Remote first appointments were missed more often than in-person first appointments, follow-up appointments had similar attendance rates for both modalities. Sociodemographic differences in outpatient appointment attendance were largely similar between in-person and remote appointments, indicating no widening of inequalities in attendance due to appointment modality.

Public preferences for online medical consultations in China: a discrete choice experiment

Background

Online medical consultation (OMC) is significant to promote the utilization and accessibility of healthcare resources and save time on consultation. However, the usage and public acceptance rates of it are still low in China. Meanwhile, few studies have focused on consumers' demand of OMC services. This study aims to identify attributes that influence users' preference for OMC services, quantify the value of these characteristics, and compare their relative importance.

Methods

A nationwide discrete choice experiment was conducted to survey Chinese residents' preference choices for six attributes of OMC services. Conditional logit model and mixed logit model were used to analyze respondents' preference. Willingness to pay and heterogeneity were estimated by the mixed logit model.

Results

A total of 856 respondents completed the study, and 668 questionnaires passed the consistency test. All of 6 attributes in the study were statistically significant except for "Doctor's professional title - Associate Senior." When choosing OMC services, respondents preferred to spend as little time and money as possible on a large online medical platform to consult a high-rated physician with a senior title from a well-known Grade-A tertiary hospital. Besides, respondents valued doctor's evaluation score most and were willing to pay ¥107 to obtain the services of higher-scored doctors.

Conclusion

The study measured Chinese residents' preferences for six attributes of OMC and showed the heterogeneity of attributes among subgroups. Our findings suggested that OMC services providers should reduce the customers' waiting time, improve the quality of services and enhance professional skills to meet the customers' requirements. More research on preferences for OMC needs to be conducted in China, especially for key populations such as patients with chronic diseases.

Impact of Telehealth on Failure to Attend Rates and Patient Re-Engagement in Adult Congenital Heart Disease Clinic

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic paved the way for telehealth consultations. We aimed to determine the impact of telehealth on rates of failure to attend (FTA) in adult congenital heart disease (ACHD) clinics and whether telehealth could re-engage patients with previous FTA face-to-face appointments.

METHODS

This was a retrospective audit of a tertiary ACHD clinic over a 12-month pre-telehealth (26 March 2019-17 March 2020) and 12-month post-telehealth implementation period (24 March 2020-16 March 2021). Patients with one or more FTAs during the 24-month study period were included. Our ACHD clinic is run three times per month. Patients with ACHD are offered lifelong follow-up and reviewed annually on average. Re-engagement was defined as two or more consecutive face-to-face FTAs immediately before the telehealth period with subsequent attendance of their telehealth appointment.

RESULTS

A total of 359 patients with a total of 623 FTAs were included. Complexity of congenital heart disease was moderate in 56% (202/359) and severe in 19% (69/359) of patients. Overall FTA rate was 18% (623/3,452). FTA rate was significantly lower in the post-telehealth period (15%, 257/1,664) compared with the pre-telehealth period (20%, 366/1,788) (p<0.00001). At study conclusion, 1% of patients had died (5/359). Of the 354 remaining patients, 42% (150/354) were considered lost to follow-up (two or more FTAs including telehealth), 37% (132/354) missed only one clinic appointment, and 20% (72/354) previously considered lost to follow-up had re-engaged in the telehealth period.

CONCLUSIONS

Rates of FTA in a tertiary ACHD clinic significantly reduced after the introduction of telehealth consultation. A fifth of patients considered lost to follow-up were re-engaged with telehealth. Additional strategies to further reduce FTA should be explored.

Patient preferences for specialist outpatient video consultations: A discrete choice experiment

INTRODUCTION

Telehealth has been shown to improve access to care, reduce personal expenses and reduce the need for travel. Despite these benefits, patients may be less inclined to seek a telehealth service, if they consider it inferior to an in-person encounter. The aims of this study were to identify patient preferences for attributes of a healthcare service and to quantify the value of these attributes.

METHODS

We surveyed patients who had taken an outpatient telehealth consult in the previous year using a survey that included a discrete choice experiment. We investigated patient preferences for attributes of healthcare delivery and their willingness to pay for out-of-pocket costs.

RESULTS

Patients (n = 62) preferred to have a consultation, regardless of type, than no consultation at all. Patients preferred healthcare services with lower out-of-pocket costs, higher levels of perceived benefit and less time away from usual activities (p < 0.008). Most patients preferred specialist care over in-person general practitioner care. Their order of preference to obtain specialist care was a videoconsultation into the patient's local general practitioner practice or hospital (p < 0.003), a videoconsultation into the home, and finally travelling for in-person appointment. Patients were willing to pay out-of-pocket costs for attributes they valued: to be seen by a specialist over videoconference ($129) and to reduce time away from usual activities ($160).

CONCLUSION

Patients value specialist care, lower out-of-pocket costs and less time away from usual activities. Telehealth is more likely than in-person care to cater to these preferences in many instances.

Virtual 'robot' ward rounds: older trauma patients' perceptions of inpatient virtual consultations

Use of telemedicine has increased following the Coronavirus 2019 (COVID-19) pandemic; however, much of the literature is based in outpatient settings. There have also historically been concerns about the efficacy of telemedicine in older patients. This service evaluation implemented virtual consultations into the ward-round setting, using a 'robot' device. Twenty-six older patients undergoing major trauma surgery were surveyed, with all reporting very high satisfaction rates. Ninety percent of patients were 'very happy' or 'happy' with the remote consultations, and 83% found the technology 'easy' or 'very easy' to use. This evaluation is limited by small participant numbers and did not research health outcomes following virtual consultations. To conclude, the use of 'robots' to deliver remote consultations to patients is feasible and welcomed by most patients.

A Comparison of Voice Therapy Attendance Rates Between In-Person and Telepractice

PURPOSE

This study sought to investigate whether a significant difference exists in attendance, cancellations, and no-shows between in-person therapy and telepractice. The authors hypothesized that telepractice no-show and cancellation rates would be less than in-person no-show and cancellation rates.

METHOD

This retrospective study manually reviewed and analyzed attendance, no-show, and cancellation data over a 3-month span of in-person-only visits (September 2019-November 2019) and a 3-month span of telepractice visits (September 2020-November 2020) conducted at the Emory Voice Center, a tertiary care practice in urban Atlanta, Georgia. Additionally, data were collected for each patient's full course of therapy outside of the 3-month windows and analyzed for attendance, no-show, and cancellation patterns.

RESULTS

Data from 521 patients were available for review from the selected time frame. In 2019 (in-person), 157 patients met inclusion criteria, and in 2020 (telepractice), 176 patients were included. Therapy initiation, therapy attendance, and no-show rates had significant increases in the telepractice year, and cancellations made greater than 24 hr before the appointments had a significant decrease in the telepractice year. Furthermore, the overall course of therapy showed significantly fewer missed appointments and more attended appointments in the telepractice year.

CONCLUSIONS

Patients participating in voice therapy via telepractice are more likely to initiate treatment and attend treatment and less likely to cancel sessions compared with patients receiving treatment in person. These data combined with extant data on telepractice treatment efficacy indicate that telepractice should be considered standard of care and offered to all patients seeking treatment, as it removes many reported barriers to treatment.

Evaluating telehealth for the education and monitoring of lymphoedema and shoulder dysfunction after breast cancer surgery

PURPOSE

The primary aim of this study was to compare the attendance rates at a group lymphoedema education and same-day individual surveillance appointment between telehealth (TH) and in-person (IP) care for participants following breast cancer (BC) surgery. Secondary aims included evaluating participant satisfaction and costs between the two service models, while also determining the extent of technical issues and clinician satisfaction towards TH.

METHODS

Participants following axillary lymph node dissection surgery attended a group lymphoedema education and same-day 1:1 monitoring session via their preferred mode (TH or IP). Attendance rates, satisfaction and costs were recorded for both cohorts, and technical disruption and clinician satisfaction for the TH cohort.

RESULTS

Fifty-five individuals participated. All 28 participants who nominated the IP intervention attended, while 22/27 who nominated the TH intervention attended an appointment. Overall reported participant experience was positive with no significant differences between cohorts. All TH appointments were successfully completed. Clinicians reported high satisfaction for delivery of education (median = 4[IQR 4-5]) and individual assessment (median = 4[IQR 3-4]) via TH. Median attendance costs per participant were Australian $39.68 (Q1-Q3 $28.52-$68.64) for TH and Australian $154.26 (Q1-Q3 $81.89-$251.48) for the IP cohort.

CONCLUSION

Telehealth-delivered lymphoedema education and assessment for individuals following BC surgery was associated with favourable satisfaction, cost savings and minimal technical issues despite lower attendance than IP care. This study contributes to the growing evidence for TH and its potential applicability to other populations where risk for cancer-related lymphoedema exists.

Integrating Tobacco Use Assessment and Treatment in the Oncology Setting: Quality Improvement Results from the Georgetown Lombardi Smoking Treatment and Recovery Program

As part of the NCI’s Cancer Center Cessation (C3i) initiative, we initiated, expanded, and maintained an evidence-based tobacco treatment program at the Georgetown Lombardi Comprehensive Cancer Center. We present a quality improvement (QI) assessment of the implementation process and patient-level outcomes. At two hematology/oncology outpatient clinical sites, five oncology-based teams (clinical administrators, clinical staff, pharmacy, information technology, and tobacco treatment staff) developed implementation strategies for opt-out patient assessment and enrollment, centralized tobacco treatment, audit, feedback, and staff training. Among eligible patients (tobacco use in ≤30 days), we assessed demographic, clinical, and tobacco-related characteristics to examine predictors of enrollment (baseline completed), treatment engagement (≥one sessions completed), and self-reported 7-day abstinence (6 months post-enrollment). Across both sites, medical assistants screened 19,344 (82.4%) patients for tobacco use, which identified 1345 (7.0%) current tobacco users, in addition to 213 clinician referrals. Of the 687/1256 (54.7%) eligible patients reached, 301 (43.8%) enrolled, and 199 (29.0%) engaged in treatment, of whom 74.5% were African American and 68% were female. At the larger site, significant multivariate predictors of enrollment included African American race (vs. white/other) and clinician referral (vs. MA assessment). Treatment engagement was predicted by greater nicotine dependence, and abstinence (27.4%) was predicted by greater treatment engagement. In summary, the systematic utilization of multiple oncology-based teams and implementation strategies resulted in the development and maintenance of a high-quality, population-based approach to tobacco treatment. Importantly, these strategies addressed inequities in tobacco treatment, as the program reached and engaged a majority-African-American patient population. Finally, the opt-out patient assessment strategy has been implemented in multiple oncology settings at MedStar Health through the Commission on Cancer’s Just Ask program.

High Satisfaction with Patient-Centered Telemedicine for Hepatitis C Virus Delivered to Substance Users: A Mixed-Methods Study

Background: While telemedicine may increase health care access for vulnerable populations, data are limited on whether people with opioid use disorder (PWOUD) are satisfied with telemedicine. We assessed PWOUD satisfaction with telemedicine and identified factors that increase telemedicine satisfaction. Methods: We conducted a mixed-methods study among hepatitis C virus (HCV)-infected persons enrolled at 12 opioid treatment programs (OTPs) throughout New York State. Participants successfully completed HCV treatment either through telemedicine integrated into OTPs (N = 238) or through offsite referral (N = 106). We evaluated Patient Satisfaction Questionnaire (PSQ) response scores at the initial and final health care encounters and subsequently interviewed telemedicine study participants (N = 25) to assess their experiences with telemedicine. Results: All participants (N = 344) successfully completed HCV treatment. We observed no differences in PSQ scores between telemedicine and in-person encounters (98.3% and 98.7% of telemedicine participants provided PSQ scores of satisfied or highly satisfied at each timepoint, respectively). Study participants indicated that attributes associated with high telemedicine encounter satisfaction included: (1) communicating study information, (2) gaining trust, and (3) delivering patient-centered care. Participants weighted "General Satisfaction" and "Time Spent with Doctor" higher than "Accessibility and Convenience," and female participants were significantly more satisfied than males. Satisfaction with health care delivery among all participants increased significantly comparing timepoints. Conclusions: Participants were highly satisfied with HCV telemedicine encounters equivalent to in-person encounters. Communication augments trust facilitating delivery of patient-centered care through telemedicine. Participants value empathy and trust with providers over accessibility and convenience. In summary, PWOUD are highly satisfied with the facilitated telemedicine model and value empathetic and trusting providers. ClinicalTrials.gov Identifier: NCT02933970.

Appointment Non-attendance for Telehealth Versus In-Person Primary Care Visits at a Large Public Healthcare System

BACKGROUND

Appointment non-attendance has clinical, operational, and financial implications for patients and health systems. How telehealth services are associated with non-attendance in primary care is not well-described, nor are patient characteristics associated with telehealth non-attendance.

OBJECTIVE

We sought to compare primary care non-attendance for telehealth versus in-person visits and describe patient characteristics associated with telehealth non-attendance.

DESIGN

An observational study of electronic health record data.

PARTICIPANTS

Patients with primary care encounters at 23 adult primary care clinics at a large, urban public healthcare system from November 1, 2019, to August 31, 2021.

MAIN MEASURES

We analyzed non-attendance by modality (telephone, video, in-person) during three time periods representing different availability of telehealth using hierarchal multiple logistic regression to control for patient demographics and variation within patients and clinics. We stratified by modality and used hierarchal multiple logistic regression to assess for associations between patient characteristics and non-attendance in each modality.

KEY RESULTS

There were 1,219,781 scheduled adult primary care visits by 329,461 unique patients: 754,149 (61.8%) in-person, 439,295 (36.0%) telephonic, and 26,337 (2.2%) video visits. Non-attendance for telephone visits was initially higher than that for in-person visits (adjusted odds ratio 1.04 [95% CI 1.02, 1.07]) during the early telehealth availability period, but decreased later (0.82 [0.81, 0.83]). Non-attendance for video visits was higher than for in-person visits during the early (4.37 [2.74, 6.97]) and later (2.02 [1.95, 2.08]) periods. Telephone visits had fewer differences in non-attendance by demographics; video visits were associated with increased non-attendance for patients who were older, male, had a primary language other than English or Spanish, and had public or no insurance.

CONCLUSIONS

Telephonic visits may improve access to care and be more easily adoptable among diverse populations. Further attention to implementation may be needed to avoid impeding access to care for certain populations using video visits.

Impact of telemedicine on visit attendance for paediatric patients receiving endocrinology specialty care

BACKGROUND

Children in rural communities often lack access to subspecialty medical care. Telemedicine has the potential to improve access to these services but its effectiveness has not been rigorously evaluated for paediatric patients with endocrine conditions besides diabetes.

INTRODUCTION

The purpose of this study was to assess the association between telemedicine and visit attendance among patients who received care from paediatric endocrinologists at an academic medical centre in northern California between 2009-2017.

METHODS

We abstracted demographic data, encounter information and medical diagnoses from the electronic health record for patients ≤18 years of age who attended at least one in-person or telemedicine encounter with a paediatric endocrinologist during the study period. We used a mixed effects logistic regression model - adjusted for age, diagnosis and distance from subspecialty care - to explore the association between telemedicine and visit attendance.

RESULTS

A total of 40,941 encounters from 5083 unique patients were included in the analysis. Patients who scheduled telemedicine visits were predominantly publicly insured (97%) and lived a mean distance of 161 miles from the children's hospital. Telemedicine was associated with a significantly higher odds of visit attendance (odds ratio 2.55, 95% confidence interval 2.15-3.02, p < 0.001) compared to in-person care.

CONCLUSIONS

This study demonstrates that telemedicine is associated with higher odds of visit attendance for paediatric endocrinology patients and supports the conclusion that use of telemedicine may improve access to subspecialty care for rural and publicly insured paediatric populations.

Video telehealth to manage menopausal symptoms after cancer: a prospective study of clinicians and patient satisfaction

OBJECTIVE

The aim of the study is to evaluate clinician and patient satisfaction with a novel video conferencing telehealth (VCT) service and barriers to use.

METHODS

A prospective observational study (2018-2020) of a statewide VCT service using healthdirect was performed. Participants were clinicians and patients from the Menopausal Symptoms After Cancer service. Patients were cancer survivors aged 20 to 70 years referred to the Menopausal Symptoms After Cancer service to manage early menopause/menopausal symptoms or women at high inherited risk of cancer due to pathogenic gene variants, such as BRCA1/2 between September 2018 and May 2020. Data were analyzed descriptively. The main outcome measures for clinicians were clinician satisfaction and ease of use, duration of consultation, patient rapport and standard of care, and future intention to use VCT. Outcome measures for patients were reasons for choosing telehealth, preferred devices, ease of use, perceived benefits and standard of care, and future intention to use VCT.

RESULTS

Data were available from 109 complete clinician surveys. Overall satisfaction was high (93%), but 32% reported technical difficulties and 42% found VCT distracting. Most reported that standard of care (91%), consultation duration (93%), and patient rapport (73%) were unaffected and 97% would use VCT again for patients not requiring examination. From 35 complete patient surveys, saving travel time and cost were the main reasons for choosing VCT (57%) and for convenience (31%). Most found the platform easy to use (83%) and were comfortable with the technology (83%) without technical difficulties (89%). All found the platform easier and less time consuming than in-person appointments. Most believed that the standard of care received was equivalent to an in-person consultation (94%), were satisfied with the consultation (97%), and would choose VCT again (97%).

CONCLUSIONS

Clinician and patient satisfaction with VCT was high and clinical standards were maintained. However, technical difficulties and distractions were common for clinicians despite training.

Participant perceptions on the acceptability and feasibility of a telemedicine-based HIV PrEP and buprenorphine/naloxone program embedded within syringe services programs: a qualitative descriptive evaluation

BACKGROUND

People who inject drugs (PWID) are at risk for HIV and opioid overdose. We piloted PARTNER UP, a telemedicine-based program to provide PWID with access to both oral pre-exposure prophylaxis (PrEP) for HIV prevention and medication for opioid use disorder (MOUD) through two syringe services programs (SSPs) in North Carolina. We conducted a qualitative evaluation to assess the acceptability and feasibility of PARTNER UP from the participant perspective.

METHODS

PARTNER UP participants met with a provider for an initial in-person visit at the SSP, followed by weekly telemedicine visits in month 1 and then monthly telemedicine visits until program end at month 6. Using a qualitative descriptive study design, we conducted in-depth interviews with a subsample of PARTNER UP participants at 1 month and 4 months. Informed by the technology acceptance model, we assessed participant perceptions of the usefulness and ease of use of PARTNER UP, as well as their intent to continue to use the program's components. We audio-recorded all interviews with participants' permission and used applied thematic analysis to analyze the verbatim transcripts.

RESULTS

We interviewed 11 of 17 people who participated in PARTNER UP-10 in the month 1 interview and 8 in the month 4 interview. Nearly all participants were motivated to join for consistent and easy access to buprenorphine/naloxone (i.e., MOUD); only a few joined to access PrEP. Most were comfortable accessing healthcare at the SSP because of their relationship with and trust toward SSP staff, and accessing services at the SSP was preferred compared with other healthcare centers. Some participants described that telemedicine allowed them to be honest and share more information because the visits were not in-person and they chose the location, although the initial in-person meeting was helpful to build provider trust and rapport. Most participants found the visit schedule to be feasible, although half described needing to reschedule at least once. Nearly all participants who were interviewed intended to continue with MOUD after the program ended, whereas none were interested in continuing with PrEP.

CONCLUSIONS

Participant narratives suggest that the PARTNER UP telemedicine program was acceptable and feasible. Future studies should continue to explore the benefits of embedding both PrEP and MOUD into SSPs with larger numbers of participants. Trial registration Clinicaltrials.gov Identifier: NCT04521920.

Telemedicine and medical education: a mixed methods systematic review protocol

OBJECTIVE

The objective of this review is to synthesize and appraise the available research on educational strategies required to prepare medical learners for engaging in telemedicine and virtual care.

INTRODUCTION

The COVID-19 pandemic has resulted in significant uptake of virtual care and telemedicine, highlighting the growing need for health care organizations and medical institutions to support physicians and learners navigating this new model of health care delivery, clinical learning, and assessment. Developing a better understanding of how best to prepare medical trainees across the continuum of undergraduate, postgraduate, and continuing professional development to engage in virtual care is critical in ensuring our continued ability to meet educational mandates and provide ambulatory care that is safe, efficient, and timely.

INCLUSION CRITERIA

Eligible studies will include medical learners who receive education on how to deliver telemedicine. The quantitative component of the review will compare learners exposed to educational interventions with learners not exposed to an intervention, or to a different intervention. Outcomes will include competencies in telemedicine delivery, knowledge, and behaviors. The qualitative component of the review will explore learners' experiences with the delivery of educational strategies that address telemedicine.

METHODS

Embase, MEDLINE, Evidence-Based Medicine Reviews: Cochrane Central Register of Controlled Trials, Web of Science Core Collection, Education Source, and ProQuest Dissertations and Theses Global will be searched to identify published and unpublished studies. No date or language restrictions will be applied. This systematic review will be conducted in accordance with the JBI methodology for mixed methods systematic reviews using a convergent segregated approach. Titles and abstracts of potential studies will be screened, and potentially relevant studies will undergo full-text review for eligibility and critical appraisal of the study methodology. Data will be extracted from those studies selected for inclusion. Findings will be described relating to the effectiveness of educational curricula, initiatives, and best practices in trainee engagement in telemedicine and virtual care.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42021264332.

Transition to telemedicine and its impact on missed appointments in community-based clinics

BACKGROUND AND OBJECTIVE

The Coronavirus Aid, Relief, and Economic Security Act led to the rapid implementation of telemedicine across health care office settings. Whether this transition to telemedicine has any impact on missed appointments is yet to be determined. This study examined the relationship between telemedicine usage and missed appointments during the COVID-19 pandemic.

METHOD

This retrospective study used appointment-level data from 55 Federally Qualified Health Centre clinics in Texas between March and November 2020. To account for the nested data structure of repeated appointments within each patient, a mixed-effects multivariable logistic regression model was used to examine associations between telemedicine use and missed appointments, adjusting for patient sociodemographic characteristics, geographic classification, past medical history, and clinic characteristics. The independent variable was having a telemedicine appointment, defined as an audiovisual consultation started and finalized via a telemedicine platform. The outcome of interest was having a missed appointment (yes/no) after a scheduled and confirmed medical appointment. Results from this initial model were stratified by appointment type (in-person vs. telemedicine).

RESULTS

The analytic sample included 278,171 appointments for 85,413 unique patients. The overall missed appointment rate was 18%, and 25% of all appointments were telemedicine appointments. Compared to in-person visits, telemedicine visits were less likely to result in a missed appointment (OR = 0.87, p < .001). Compared to Whites, Asians were less likely to have a missed appointment (OR = 0.82, p < .001) while African Americans, Hispanics, and American Indians were all significantly more likely to have missed appointments (OR = 1.61, p < .001; OR = 1.19, p = .01; OR = 1.22, p < .01, respectively). Those accessing mental health services (OR = 1.57 for in-person and 0.78 for telemedicine) and living in metropolitan areas (OR = 1.15 for in-person and 0.82 for telemedicine) were more likely to miss in-person appointments but less likely to miss telemedicine appointments. Patients with frequent medical visits or those living with chronic diseases were more likely to miss in-person appointments but less likely to miss telemedicine appointments.

CONCLUSIONS

Telemedicine is strongly associated with fewer missed appointments. Although our findings suggest a residual lag in minority populations, specific patient populations, including those with frequent prior visits or chronic conditions, those seeking mental health services, and those living in metropolitan areas were less likely to miss telemedicine appointments than in-person visits. These findings highlight how telemedicine can enable effective and accessible care by reducing missed healthcare appointments.KEY MESSAGESTelemedicine was associated with 13% lower odds of missed appointments.Patients with frequent medical visits or those living with chronic diseases were less likely to miss telemedicine appointments but more likely to miss in-person appointments.Patients seeking mental health services were less likely to miss telemedicine appointments but more likely to miss in-person appointments.Similarly, those living in metropolitan areas were less likely to miss telemedicine appointments but more likely to miss in-person appointments.

Comparison of Quality Performance Measures for Patients Receiving In-Person vs Telemedicine Primary Care in a Large Integrated Health System

IMPORTANCE

Despite its rapid adoption during the COVID-19 pandemic, it is unknown how telemedicine augmentation of in-person office visits has affected quality of patient care.

OBJECTIVE

To examine whether quality of care among patients exposed to telemedicine differs from patients with only in-person office-based care.

DESIGN, SETTING, AND PARTICIPANTS

In this retrospective cohort study, standardized quality measures were compared between patients with office-only (in-person) visits vs telemedicine visits from March 1, 2020, to November 30, 2021, across more than 200 outpatient care sites in Pennsylvania and Maryland.

EXPOSURES

Patients completing telemedicine (video) visits.

MAIN OUTCOMES AND MEASURES

χ2 tests determined statistically significant differences in Health Care Effectiveness Data and Information Set (HEDIS) quality performance measures between office-only and telemedicine-exposed groups. Multivariable logistic regression controlled for sociodemographic factors and comorbidities.

RESULTS

The study included 526 874 patients (409 732 office-only; 117 142 telemedicine exposed) with a comparable distribution of sex (196 285 [49.7%] and 74 878 [63.9%] women), predominance of non-Hispanic (348 127 [85.0%] and 105 408 [90.0%]) and White individuals (334 215 [81.6%] and 100 586 [85.9%]), aged 18 to 65 years (239 938 [58.6%] and 91 100 [77.8%]), with low overall health risk scores (373 176 [91.1%] and 100 076 [85.4%]) and commercial (227 259 [55.5%] and 81 552 [69.6%]) or Medicare or Medicaid (176 671 [43.1%] and 52 513 [44.8%]) insurance. For medication-based measures, patients with office-only visits had better performance, but only 3 of 5 measures had significant differences: patients with cardiovascular disease (CVD) receiving antiplatelets (absolute percentage difference [APD], 6.71%; 95% CI, 5.45%-7.98%; P < .001), patients with CVD receiving statins (APD, 1.79%; 95% CI, 0.88%-2.71%; P = .001), and avoiding antibiotics for patients with upper respiratory infections (APD, 2.05%; 95% CI, 1.17%-2.96%; P < .001); there were insignificant differences for patients with heart failure receiving β-blockers and those with diabetes receiving statins. For all 4 testing-based measures, patients with telemedicine exposure had significantly better performance differences: patients with CVD with lipid panels (APD, 7.04%; 95% CI, 5.95%-8.10%; P < .001), patients with diabetes with hemoglobin A1c testing (APD, 5.14%; 95% CI, 4.25%-6.01%; P < .001), patients with diabetes with nephropathy testing (APD, 9.28%; 95% CI, 8.22%-10.32%; P < .001), and blood pressure control (APD, 3.55%; 95% CI, 3.25%-3.85%; P < .001); this was also true for all 7 counseling-based measures: cervical cancer screening (APD, 12.33%; 95% CI, 11.80%-12.85%; P < .001), breast cancer screening (APD, 16.90%; 95% CI, 16.07%-17.71%; P < .001), colon cancer screening (APD, 8.20%; 95% CI, 7.65%-8.75%; P < .001), tobacco counseling and intervention (APD, 12.67%; 95% CI, 11.84%-13.50%; P < .001), influenza vaccination (APD, 9.76%; 95% CI, 9.47%-10.05%; P < .001), pneumococcal vaccination (APD, 5.41%; 95% CI, 4.85%-6.00%; P < .001), and depression screening (APD, 4.85%; 95% CI, 4.66%-5.04%; P < .001).

CONCLUSIONS AND RELEVANCE

In this cohort study of patients with telemedicine exposure, there was a largely favorable association with quality of primary care. This supports telemedicine's value potential for augmenting care capacity, especially in chronic disease management and preventive care. This study also identifies a need for understanding relationships between the optimal blend of telemedicine and in-office care.

Pediatric Amplification: A Proposed Protocol for In-Person Hearing Aid Fittings and Virtual Follow-Ups

BACKGROUND

Children with hearing loss and their families face many financial and logistical barriers to accessing audiological care. At Rush University's Student Community Outreach Program of Excellence (SCOPE), a pediatric hearing loss outreach program is under development to address and overcome those barriers through in-person hearing aid fittings and virtual follow-up appointments.

OBJECTIVES

The goal of this clinical focus article was to develop a proposed protocol for SCOPE's pediatric hearing loss outreach program that would detail the use of a bimodal model of service delivery for pediatric amplification services. This clinical focus article provides a general description of the proposed protocol.

METHOD

The proposed protocol was developed as a guideline for future service delivery within SCOPE's pediatric hearing loss outreach program. Categories and details within the protocol were derived from previously published protocols and clinically relevant research.

RESULTS

The final protocol is composed of six sections, which detail the rationale and target population, necessary equipment, procedures for in-person hearing aid fittings, procedures for virtual follow-ups, outcome measures, and schedule of appointments.

DISCUSSION

On the national level, access to audiological care for pediatric patients and their families is restricted by both financial and logistical barriers. A telehealth model of service delivery has been shown to be effective in providing high-quality patient care while addressing these barriers. A clinical program using a bimodal model of service delivery will be implemented to address these barriers in Chicago, Illinois. Future investigation is required to monitor the efficacy of the program and develop program-specific materials.

Home-based primary care visits by nurse practitioners

BACKGROUND

With rapidly growing numbers of homebound older adults, the need for effective home-based health interventions is increasingly recognized. Advanced practice registered nurses (NPs) are one of the most common providers of home-based primary care. Limited information is available to address the scope and nature of NP-led home-based primary care and associated outcomes.

OBJECTIVE

To synthesize research evidence of NP visits in home-based primary care.

DATA SOURCES

Six electronic databases-PubMed, Cumulative Index to Nursing and Allied Health Literature, Embase, Cochrane, Web of Science, and Scopus-were searched to identify peer-reviewed research articles addressing home-based primary care interventions led by NPs. Independent screening resulted in 17 relevant articles from 14 unique studies to include in the review.

CONCLUSIONS

Nurse practitioners provided health assessments, education, care planning and coordination primarily by face-to-face home visits. Despite a variability in terms of study design, setting, and sample, NP-led home-based primary care was in general associated with less hospitalization and fewer emergency department visits. Evidence was mixed in relation to patient-reported outcomes such as subjective health, functional status, and symptoms. Costs and patient or caregiver satisfaction were additional outcomes addressed, but the findings were inconsistent.

IMPLICATIONS FOR PRACTICE

Recent policy changes to authorize NPs to independently assess, diagnose, and order home care services directly affect how NPs approach home-based primary care programs. Our findings support NP-led home-based primary care to decrease consequential health utilization and suggest the need for further evaluating the care models in diverse populations with more patient-reported and caregiver outcomes.

A co-designed telehealth-based model of care to improve attendance and completion to cardiac rehabilitation of rural and remote Australians: The Country Heart Attack Prevention (CHAP) project

We aim to report the co-design of the implementation strategy of a telehealth-enabled cardiac rehabilitation model of care in rural and remote areas of Australia. The goal of this model of care is to increase cardiac rehabilitation attendance and completion by country patients with cardiovascular diseases.We hypothesise that a model of care co-designed with stakeholders will address patients' needs and preferences and increase participation. We applied the Model for Large Scale Knowledge Translation and engaged with patients, clinicians and health service managers across six local health networks in rural South Australia. They informed the design of a web-based cardiac rehabilitation programme and the delivery of the expanded telehealth service.The stakeholders defined face-to-face, telephone, web-based or combinations as choices of mode of delivery to patients referred to cardiac rehabilitation. A case-managed programme supported by a web portal with an interface for patients and clinicians was considered more appropriate to the local context than a self-managed programme. A business model was developed to enable the sustainability of cardiac rehabilitation clinical assessments through primary care. The impact of the model of care on cardiac rehabilitation attendance/completion, clinical outcomes, patient-reported outcomes and patient-reported experiences and cost-effectiveness will be tested in a 12-month follow-up study.

The Impact of the Covid-19-Related Transition to Telehealth on Visit Adherence in Mental Health Care: An Interrupted Time Series Study

Covid-19 has led to an unprecedented shift to telemental health (TMH) in mental healthcare. This study examines the impact of this transition on visit adherence for mental health services in an integrated behavioral health department. Monthly visit data for 12,245 patients from January, 2019 to January, 2021 was extracted from the electronic medical record. Interrupted time series (ITS) analysis examined the impact of the Covid-19 transition to TMH on immediate level and trend changes in the percentage of cancelled visits and no shows in the 10 months following the transition. ITS also compared changes across the three largest services types: adult, pediatric, and substance use. Following the TMH-transition, completed visits increased by 10% amounting to an additional 3644 visits. In April, 2020, immediately following the TMH-transition, no shows increased by 1.4%, (95% CI 0.1, 2.7, p < 0.05) and cancellations fell by 13.5% (95% CI − 17.9, − 9.0, p < 0.001). Across the 10-month post-TMH period, 18.2% of visits were cancelled, compared to 28.3% across the 14-month pre-TMH period. The proportion of no-shows remained the same. The pattern was similar for pediatric and adult sub-clinics, but no significant changes in cancellations or no shows were observed in the substance use sub-clinic. TMH during the Covid-19 pandemic is associated with improved visit adherence over time and may be a promising model for improving the efficiency of mental health care delivery once it is safe to resume in person care.

A telephone assessment and advice service within an ED physiotherapy clinic: a single-site quality improvement cohort study

BACKGROUND

In response to issues with timely access and high non-attendance rates for Emergency Department (ED) physiotherapy, a telephone assessment and advice service was evaluated as part of a quality improvement project. This telehealth option requires minimal resources, with the added benefit of allowing the healthcare professional streamline care. A primary aim was to investigate whether this service model can reduce wait times and non-attendance rates, compared to usual care. A secondary aim was to evaluate service user acceptability.

METHODS

This was a single-site quality improvement cohort study that compares data on wait time to first physiotherapy contact, non-attendance rates and participant satisfaction between patients that opted for a service based on initial telephone assessment and advice, versus routine face-to-face appointments. 116 patients were referred for ED physiotherapy over the 3-month pilot at the ED and out-patient physiotherapy department, XMercy University Hospital, Cork, Ireland. 91 patients (78%) opted for the telephone assessment and advice service, with 40% (n=36) contacting the service. 25 patients (22%) opted for the face-to-face service. Data on wait time and non-attendance rates was gathered using the hospital data reporting system. Satisfaction data was collected on discharge using a satisfaction survey adapted from the General Practice Assessment Questionnaire. Independent-samples t-test or Mann Whitney U Test was utilised depending on the distribution of the data. For categorical data, Chi-Square tests were performed. A level of significance of p ≤ 0.05 was set for this study.

RESULTS

Those that contacted the telephone assessment and advice service had a significantly reduced wait time (median 6 days; 3-8 days) compared to those that opted for usual care (median 35 days; 19-39 days) (p ≤ 0.05). There was no significant between-group differences for non-attendance rates or satisfaction.

CONCLUSION

A telephone assessment and advice service may be useful in minimising delays for advice for those referred to ED Physiotherapy for musculoskeleltal problems. This telehealth option appears to be broadly acceptable and since it can be introduced rapidly, it may be helpful in triaging referrals and minimising face-to-face consultations, in line with COVID-19 recommendations. However, a large scale randomised controlled trial is warranted to confirm these findings.