[Cost-effectiveness of digital care and face-to-face care in the first-level of care]. / Costo-efectividad de la atención digital y la atención presencial en el primer nivel.

Background: The medical care paradigm is face-to-face; however, technological development has led to the digital modality. Objective: To determine cost-effectiveness of digital care and face-to-face care at the first level of care. Material and methods: Cost-effectiveness study. 2 groups were integrated: the digital service and the face-to-face service. The sample size was calculated with the percentage formula for 2 groups, and the result was 217 per group. The effectiveness was evaluated in 3 dimensions: the satisfaction of the patient, of the doctor and of the medical assistant. In all 3 cases the Visual analogue scale was used. The cost corresponded to the fixed unit cost estimated with the technique of times and movements adjusted for the duration of care. The statistical analysis included averages, percentages and cost-effectiveness ratio. Results: The cost of digital attention is $343.83 and face-to-face attention is $171.91 (all estimated in Mexican pesos). From the patient's perspective, the effectiveness in digital care is $9.47 and in face-to-face is $9.25. The cost to reach effectiveness of 10 in face-to-face care is $185.85 and in digital care $363.20. From the physician's perspective, the cost to achieve effectiveness of 10 is $419.13 in digital care and $184.52 in face-to-face care. From the perspective of the medical assistant, to achieve effectiveness of 10, the cost in digital care is $468.43 and in face-to-face $179.83. Conclusions: Currently, the best cost-effectiveness ratio corresponds to face-to-face care; however, digital care is an option that will have to evolve.

Introducción: el paradigma de atención médica es presencial; sin embargo, el desarrollo tecnológico ha propiciado la modalidad digital. Objetivo: determinar el costo-efectividad de la atención digital y la atención presencial en primer nivel. Material y métodos: estudio de costo-efectividad. Se integraron 2 grupos: el de atención digital y el de atención presencial. El tamaño de muestra se calculó con la fórmula de porcentajes para 2 grupos y el resultado fue 217 por grupo. La efectividad se evaluó en 3 dimensiones: la satisfacción del paciente, del médico y de la asistente médica. En los 3 casos se utilizó la Escala visual analógica. El costo correspondió al costo unitario fijo estimado con la técnica de tiempos y movimientos ajustado por la duración de la atención. El análisis estadístico incluyó promedios, porcentajes y relación costo-efectividad. Resultados: el costo de la atención digital es $343.83 y la atención presencial $171.91. Desde la perspectiva del paciente, la efectividad en atención digital es 9.47 y en presencial 9.25. El costo para alcanzar una efectividad de 10 en la atención presencial es $185.85 y en la atención digital $363.20. Desde la perspectiva del médico, el costo para alcanzar una efectividad de 10 es $419.13 en la atención digital y $184.52 en la atención presencial. Desde la perspectiva de la asistente médica, para alcanzar una efectividad de 10 el costo en la atención digital es $468.43 y en la presencial $179.83. Conclusiones: actualmente la mejor relación costo-efectividad corresponde a la atención presencial; sin embargo, la atención digital es una opción que tendrá que evolucionar.

Moving an exercise referral scheme to remote delivery during the Covid-19 pandemic: an observational study examining the impact on uptake, adherence, and costs.

BACKGROUND: Exercise Referral Schemes (ERSs) have been implemented across Western nations to stimulate an increase in adult physical activity but evidence of their effectiveness and cost-effectiveness is equivocal. Poor ERS uptake and adherence can have a negative impact on effectiveness and cost-effectiveness and, if patterned by socio-demographic factors, can also introduce or widen health inequalities. Different modes of ERS delivery have the potential to reduce costs and enhance uptake and adherence. The primary aim of this study was to examine the effect of different programmes of ERS delivery on scheme uptake and adherence. Secondary aims were to examine the effect of socio-demographic factors on scheme uptake and adherence, and the impact of delivery mode on the expected resource and corresponding costs of delivering core parts of the programme. METHODS: This was an observational cohort study with cost analysis. Routine monitoring data covering a three-year period (2019-2021) from one large UK ERS (number of patients = 28,917) were analysed. During this period three different programmes of delivery were operated in succession: standard (all sessions delivered face-to-face at a designated physical location), hybrid (sessions initially delivered face-to-face and then switched to remote delivery in response to the Covid-19 pandemic), and modified (sessions delivered face-to-face, remotely, or a combination of the two, as determined on a case-by-case basis according to Covid-19 risk and personal preferences). Multi-level binary logistic and linear regression were performed to examine the effect of programme of delivery and socio-demographic characteristics on uptake and adherence. Cost data were sourced from regional-level coordinators and through NERS audits supplied by national-level NERS managers and summarised using descriptive statistics. RESULTS: There was no effect of programme of delivery on scheme uptake. In comparison to those on the standard programme (who attended a mean of 23.1 exercise sessions) those on the modified programme had higher adherence (mean attendance of 25.7 sessions) while those on the hybrid programme had lower adherence (mean attendance of 19.4 sessions). Being older, or coming from an area of lower deprivation, increased the likelihood of uptake and adherence. Being female increased the chance of uptake but was associated with lower adherence. Patients referred to the programme from secondary care were more likely to take up the programme than those referred from primary care for prevention purposes, however their attendance at exercise sessions was lower. The estimated cost per person for face-to-face delivery of a typical 16-week cycle of the scheme was £65.42. The same cycle of the scheme delivered virtually (outside of a pandemic context) was estimated to cost £201.71 per person. CONCLUSIONS: This study contributes new evidence concerning the effect of programme of delivery on ERS uptake and adherence and strengthens existing evidence concerning the effect of socio-economic factors. The findings direct the attention of ERS providers towards specific patient sub-groups who, if inequalities are to be addressed, require additional intervention to support uptake and adherence. At a time when providers may be considering alternative programmes of delivery, these findings challenge expectations that implementing virtual delivery will necessarily lead to cost savings.

Impact of COVID-19 on Characteristics and Funding of U.S. Healthcare Startups: Retrospective Review.

BACKGROUND: The rise of telehealth and telemedicine during the pandemic allowed patients and providers to develop a sense of comfort with telehealth, which may have increased the demand for virtual-first care solutions with spillover effects into venture capital funding. OBJECTIVE: We aimed to understand the size and type of digital health investments occurring in the prepandemic and pandemic periods. METHODS: We examined health care companies founded from March 14, 2019, to March 14, 2020 (prepandemic) versus those founded from March 15, 2020, to March 14, 2022, after pandemic onset. Data were obtained from Crunchbase, a publicly available database that catalogs information about venture capital investments for companies. We also compared companies founded prepandemic to those founded after the first year of the pandemic (pandemic steady-state). We performed a Wilcoxon rank sum test to compare median funding amounts. We compared the 2 groups of companies according to the type of funding round raised, geography, health care subcategory, total amount of funding per year since founding, and number of founders. RESULTS: There were 2714 and 2218 companies founded prepandemic and during the pandemic, respectively. The companies were similarly distributed across geographies in the prepandemic and pandemic periods (P=.46) with no significant differences in the number of founders (P=.32). There was a significant difference in total funding per year since founding between prepandemic and pandemic companies (US $10.8 million vs US $20.9 million; P<.001). The distribution of funding rounds differed significantly for companies founded in prepandemic and pandemic periods (P<.001). On excluding data from the first year of the pandemic, there were 581 companies founded in the pandemic steady-state period from March 14, 2021, to March 14, 2022. Companies founded prepandemic had a significantly greater mean number of founders than those founded during the pandemic (P=.02). There was no significant difference in total funding per year since founding between prepandemic and steady-state pandemic companies (US $10.8 million vs US $14.4 million; P=.34). The most common types of health care companies included wellness, biotech/biopharma, and software companies. Distributions of companies across health care subcategories were not significantly different before and during the pandemic. However, significant differences were identified when data from the first year of the pandemic were excluded (P<.001). Companies founded during the steady-state pandemic period were significantly more likely to be classified as artificial intelligence (7.3% vs 4.7%; P=.005), software (17.3% vs 12.7%; P=.002), and insurance (3.3% vs 1.7%; P=.003), and were significantly less likely to be classified as health care diagnostics (2.4% vs 5.1%; P=.002). CONCLUSIONS: We demonstrate no significant changes in the types of health care companies founded before versus during the pandemic, although significant differences emerge when comparing prepandemic companies to those founded after the first year of the pandemic.

[An overview of investments in the development of the Russian Medtech market and the prospects for the impact of digitalization in medicine on the economic performance of companies until 2030].

Today, the topic of digitalization, the introduction of innovations based on Big Data, the complexity of technologies due to the introduction of artificial intelligence in medicine and healthcare is one of the most relevant in this industry, undoubtedly contributing to its rapid development. As a result of this development, there is a huge number of services and applications. Internet resources, not only for health tracking (more than 3,500 applications are available by the end of 2023), but also the development of diagnostic resources, telemedicine, etc. Quite quickly, it was the pandemic and its consequences that changed the format of interaction between doctors, communication in the community of doctors, and their interaction with patients. Saving time when making an appointment with a doctor, visiting him, constant monitoring of the condition of patients, becoming better and more multidirectional day by day, make it possible to provide timely, relevant care to more people. The use of artificial intelligence technologies and digital solutions in the field of Russian healthcare opens up great prospects for both doctors and patients, as well as for many government agencies, since the development of regulatory and legal regulation and state control and management of innovations in the field of medicine and healthcare is important. An important factor is that not only government programs for the development of healthcare, but also investments are extremely important for the development of digital medicine.

Effect of the COVID-19 Lockdown on Mobile Payments for Maternal Health: Regression Discontinuity Analysis.

BACKGROUND: The COVID-19 pandemic resulted in the unprecedented popularity of digital financial services for contactless payments and government cash transfer programs to mitigate the economic effects of the pandemic. The effect of the pandemic on the use of digital financial services for health in low- and middle-income countries, however, is poorly understood. OBJECTIVE: This study aimed to assess the effect of the first COVID-19 lockdown on the use of a mobile maternal health wallet, with a particular focus on delineating the age-dependent differential effects, and draw conclusions on the effect of lockdown measures on the use of digital health services. METHODS: We analyzed 819,840 person-days of health wallet use data from 3416 women who used health care at 25 public sector primary care facilities and 4 hospitals in Antananarivo, Madagascar, between January 1 and August 27, 2020. We collected data on savings, payments, and voucher use at the point of care. To estimate the effects of the first COVID-19 lockdown in Madagascar, we used regression discontinuity analysis around the starting day of the first COVID-19 lockdown on March 23, 2020. We determined the bandwidth using a data-driven method for unbiased bandwidth selection and used modified Poisson regression for binary variables to estimate risk ratios as lockdown effect sizes. RESULTS: We recorded 3719 saving events, 1572 payment events, and 3144 use events of electronic vouchers. The first COVID-19 lockdown in Madagascar reduced mobile money savings by 58.5% (P<.001), payments by 45.8% (P<.001), and voucher use by 49.6% (P<.001). Voucher use recovered to the extrapolated prelockdown counterfactual after 214 days, while savings and payments did not cross the extrapolated prelockdown counterfactual. The recovery duration after the lockdown differed by age group. Women aged >30 years recovered substantially faster, returning to prelockdown rates after 34, 226, and 77 days for savings, payments, and voucher use, respectively. Younger women aged <25 years did not return to baseline values. The results remained robust in sensitivity analyses using ±20 days of the optimal bandwidth. CONCLUSIONS: The COVID-19 lockdown greatly reduced the use of mobile money in the health sector, affecting savings, payments, and voucher use. Savings were the most significantly reduced, implying that the lockdown affected women's expectations of future health care use. Declines in payments and voucher use indicated decreased actual health care use caused by the lockdown. These effects are crucial since many maternal and child health care services cannot be delayed, as the potential benefits will be lost or diminished. To mitigate the adverse impacts of lockdowns on maternal health service use, digital health services could be leveraged to provide access to telemedicine and enhance user communication with clear information on available health care access options and adherence to safety protocols.

The demand for private telehealth services in low- and middle-income countries: Evidence from South Africa.

In low- and middle-income countries, many believe that telehealth services could significantly expand access to doctors by offering remote access at low cost. Yet, despite its convenience, telehealth care is limited by the absence of physical examination, point-of-care testing, or immediate treatment. Hence it is unclear how individuals value such options compared to standard face-to-face care. We study this issue in South Africa with general practitioners who today mostly practice in the private sector and are geographically located in wealthier areas with higher health insurance coverage. We use an incentive-compatible method to elicit robust measures of willingness-to-pay (WTP) for telehealth and face-to-face consultations with general practitioners in a sample of uninsured individuals. We find that only 36% of respondents are willing to pay the prevailing market price for a telehealth consultation. We find average WTP for in-person consultations is only 10% higher than that of telehealth. Additionally, individuals with higher health needs are willing to pay a premium for face-to-face consultations, while others are indifferent. Our findings suggest that private telehealth services are better suited for more minor health needs, but are unlikely to expand access to a majority unless cheaper models are introduced.

Impact of State Telehealth Parity Laws for Private Payers on Hypertension Medication Adherence Before and During the COVID-19 Pandemic.

BACKGROUND: Telehealth has emerged as an effective tool for managing common chronic conditions such as hypertension, especially during the COVID-19 pandemic. However, the impact of state telehealth payment and coverage parity laws on hypertension medication adherence remains uncertain. METHODS: Data from the 2016 to 2021 Merative MarketScan Commercial Claims and Encounters Database were used to construct the study cohort, which included nonpregnant individuals aged 25 to 64 years with hypertension. We coded telehealth parity laws related to hypertension management in all 50 US states and the District of Columbia, distinguishing between payment and coverage parity laws. The primary outcomes were measures of antihypertension medication adherence: the average medication possession ratio; medication adherence (medication possession ratio ≥80%); and average number of days of drug supply. We used a generalized difference-in-differences design to examine the impact of these laws. RESULTS: Among 353 220 individuals (mean [SD] age, 49.5 (7.1) years; female, 45.55%), states with payment parity laws were significantly linked to increased average medication possession ratio by 0.43 percentage point (95% CI, 0.07-0.79), and an increase of 0.46 percentage point (95% CI, 0.06-0.92) in the probability of medication adherence. Payment parity laws also led to an average increase of 2.14 days (95% CI, 0.11-4.17) in prescription supply, after controlling for state-fixed effects, year-fixed effects, individual sociodemographic characteristics and state time-varying covariates including unemployment rates, gross domestic product per capita, and poverty rates. In contrast, coverage parity laws were associated with a 2.13-day increase (95% CI, 0.19-4.07) in days of prescription supply but did not significantly increase the average medication possession ratio or probability of medication adherence. CONCLUSIONS: State telehealth payment parity laws were significantly associated with greater medication adherence, whereas coverage parity laws were not. With the increasing adoption of telehealth parity laws across states, these findings may support policymakers in understanding potential implications on management of hypertension.

Predeductible Coverage and Receipt of Telemental Health Visits.

This cohort study examines the utilization changes associated with the reintroduction of cost sharing for patients receiving telemental health services.

Enhancing telehealth services development in Pakistani healthcare sectors through examining various medical service quality characteristics.

Introduction: The telehealth service increased attention both during and after the Covid-19 outbreak. Nevertheless, there is a dearth of research in developing countries, including Pakistan. Hence, the objective of this study was to examine telehealth service quality dimensions to promote the telehealth behavior intention and sustainable growth of telehealth in Pakistan. Methods: This study employed a cross-sectional descriptive design. Data were collected from doctors who were delivering telehealth services through a well-designed questionnaire. To examine the hypothesis of the study, we employed the Smart PLS structural equation modeling program, namely version 0.4. Results: The study findings indicate that medical service quality, affordability, information quality, waiting time, and safety have a positive impact on the intention to engage in telehealth behavior. Furthermore, the adoption of telehealth behavior has a significant favorable effect on the actual utilization of telehealth services, which in turn has a highly good impact on sustainable development. Conclusion: The study determined that telehealth services effectively decrease the amount of time and money spent on travel, while still offering convenient access to healthcare. Furthermore, telehealth has the potential to revolutionize payment methods, infrastructure, and staffing in the healthcare industry. Implementing a well-structured telehealth service model can yield beneficial results for a nation and its regulatory efforts in the modern age of technology.

Bridging distances and saving costs: insights from a pilot project of telerheumatology in a rural area of Pakistan.

Enhancing access to healthcare remains a formidable challenge in rural regions of low- and lower-middle-income countries. Amid evolving healthcare challenges, telerheumatology provides opportunities to bridge gaps and expand access to rheumatology care, particularly in remote areas. We describe a pilot telerheumatology program and its cost-, time-, and travel-saving potential in a remote rural setting in northern Pakistan. The telerheumatology program commenced at the Pakistan Institute of Medical Sciences Islamabad, providing services through video consultations to a basic health unit in the Gilgit-Baltistan region. Patients visiting from the Gilgit-Baltistan region willing to participate were recruited in the program. Demographics and logistical metrics were recorded in a dedicated registry. A total of 533 consultations were carried out from April 2022 to April 2023. The majority of the patients were female (318/533, 59.7%). The median age of patients was 50 ± 15.7 years. The average wait time for consultation was 20 ± 13 min. The average travel time to reach telecentre was 59 ± 53 min. The average travel cost to reach telecentre was 379 ± 780 PKR (1.85 ± 3.81 USD). The average duration of consultation was 15 ± 5 min. The most common diagnosis for consultation was knee osteoarthritis (237, 44.5%), chronic low back pain (118, 22.1%), and rheumatoid arthritis (42, 7.9%). On average, patients saved 787 ± 29 km of distance, 15 ± 1 h of traveling, and 6702 ± 535 PKR (33 ± 3 USD) that would have been required to travel to our tertiary care hospital. Telerheumatology substantially reduced travel time, distance, and cost for patients. It has the potential to deliver outpatient rheumatology consultation in an economically efficient manner, effectively breaking geographical barriers and expanding access to essential services for patients in remote areas.

Cost Evaluation of the Ontario Virtual Urgent Care Pilot Program: Population-Based, Matched Cohort Study.

BACKGROUND: In 2020, the Ministry of Health (MoH) in Ontario, Canada, introduced a virtual urgent care (VUC) pilot program to provide alternative access to urgent care services and reduce the need for in-person emergency department (ED) visits for patients with low acuity health concerns. OBJECTIVE: This study aims to compare the 30-day costs associated with VUC and in-person ED encounters from an MoH perspective. METHODS: Using administrative data from Ontario (the most populous province of Canada), a population-based, matched cohort study of Ontarians who used VUC services from December 2020 to September 2021 was conducted. As it was expected that VUC and in-person ED users would be different, two cohorts of VUC users were defined: (1) those who were promptly referred to an ED by a VUC provider and subsequently presented to an ED within 72 hours (these patients were matched to in-person ED users with any discharge disposition) and (2) those seen by a VUC provider with no referral to an in-person ED (these patients were matched to patients who presented in-person to the ED and were discharged home by the ED physician). Bootstrap techniques were used to compare the 30-day mean costs of VUC (operational costs to set up the VUC program plus health care expenditures) versus in-person ED care (health care expenditures) from an MoH perspective. All costs are expressed in Canadian dollars (a currency exchange rate of CAD $1=US $0.76 is applicable). RESULTS: We matched 2129 patients who presented to an ED within 72 hours of VUC referral and 14,179 patients seen by a VUC provider without a referral to an ED. Our matched populations represented 99% (2129/2150) of eligible VUC patients referred to the ED by their VUC provider and 98% (14,179/14,498) of eligible VUC patients not referred to the ED by their VUC provider. Compared to matched in-person ED patients, 30-day costs per patient were significantly higher for the cohort of VUC patients who presented to an ED within 72 hours of VUC referral ($2805 vs $2299; difference of $506, 95% CI $139-$885) and significantly lower for the VUC cohort of patients who did not require ED referral ($907 vs $1270; difference of $362, 95% CI 284-$446). Overall, the absolute 30-day costs associated with the 2 VUC cohorts were $18.9 million (ie, $6.0 million + $12.9 million) versus $22.9 million ($4.9 million + $18.0 million) for the 2 in-person ED cohorts. CONCLUSIONS: This costing evaluation supports the use of VUC as most complaints were addressed without referral to ED. Future research should evaluate targeted applications of VUC (eg, VUC models led by nurse practitioners or physician assistants with support from ED physicians) to inform future resource allocation and policy decisions.

Tele-Mental Health Service: Unveiling the Disparity and Impact on Healthcare Access and Expenditures during the COVID-19 Pandemic in Mississippi.

During the COVID-19 pandemic, tele-mental health (TMH) was a viable approach for providing accessible mental and behavioral health (MBH) services. This study examines the sociodemographic disparities in TMH utilization and its effects on healthcare resource utilization (HCRU) and medical expenditures in Mississippi. Utilizing a cohort of 6787 insured adult patients at the University of Mississippi Medical Center and its affiliated sites between January 2020 and June 2023, including 3065 who accessed TMH services, we observed sociodemographic disparities between TMH and non-TMH cohorts. The TMH cohort was more likely to be younger, female, White/Caucasian, using payment methods other than Medicare, Medicaid, or commercial insurers, residing in rural areas, and with higher household income compared to the non-TMH cohort. Adjusting for sociodemographic factors, TMH utilization was associated with a 190% increase in MBH-related outpatient visits, a 17% increase in MBH-related medical expenditures, and a 12% decrease in all-cause medical expenditures (all p < 0.001). Among rural residents, TMH utilization was associated with a 205% increase in MBH-related outpatient visits and a 19% decrease in all-cause medical expenditures (both p < 0.001). This study underscores the importance of addressing sociodemographic disparities in TMH services to promote equitable healthcare access while reducing overall medical expenditures.

Advancing clinical trial equity through integration of telehealth and decentralized treatment.

Innovative strategies to increase clinical trial accessibility and equity are needed. We conducted a retrospective review of a phase II investigator-initiated trial to determine whether the modification of clinical trial design to decentralize study treatment can improve trial accessibility among underrepresented groups. Sociodemographic characteristics, including area deprivation indices, as well as study site travel distance, time, and costs were compared between enrolled participants who received chemotherapy locally and participants who did not. Participants who received chemotherapy locally lived substantially farther from the study site (median = 95.90 vs 25.20 miles, P = .004), faced a greater time burden traveling to the study site (median = 115.00 vs 34.00 minutes, P = .002), and had higher travel-related costs for a single trip to the study site (median = $62.81 vs $16.51, P = .004). This study highlights opportunities for alleviating financial and time burdens associated with clinical trial participation, promoting equity in clinical research. Trial Registration: ClinicalTrials.gov identifier: NCT04380337.

Cost-Effectiveness of a Home Telemonitoring System for Asian Adults with Type 2 Diabetes Mellitus.

Background: Telemonitoring programs have been found to be effective in improving diabetic control by promoting patients' self-management of diabetes through medication adherence, dietary modifications, and exercise. Nonetheless, few studies have assessed the cost-effectiveness of telemonitoring for the self-management of diabetes based on real-world data. Methods: A randomized controlled trial entitled Optimizing care of Patients via Telehealth In Monitoring and Augmenting their control of Diabetes Mellitus was conducted among adults with Type 2 Diabetes Mellitus in Singapore. Individuals in the intervention group (n = 159) underwent a telemonitoring program comprising of remote patient monitoring, education, individualized health coaching, and teleconsultations, whereas individuals in the control group (n = 160) received regular care. Economic evaluation was conducted from health care system and societal perspectives in 2020 in Singapore dollars, using health outcomes and costs documented at baseline and at 6 month follow-up. One-way sensitivity analyses and bootstrapping to generate scatter plot on cost-effectiveness planes were done. Results: The adjusted reduction in HbA1c scores was greater in the intervention group by -0.41 (95% confidence interval [CI], -0.65 to -0.17), while the change in utility scores was higher in the intervention group by 0.011 (95% CI, -0.016 to 0.0378). From a health care perspective, the incremental cost-effectiveness ratio (ICER) of the telemonitoring program per unit improvement in HbA1c, per additional case of well-controlled diabetes, and per unit improvement in quality adjusted life years was SGD 580.44, SGD 9100.15, and SGD 21,476.36, respectively. From a societal perspective, the ICERs were SGD 817.20, SGD 12,812.02, and SGD 30,236.36, respectively. Conclusions: The Optimizing care of Patients via Telehealth In Monitoring and Augmenting their control of Diabetes Mellitus telemonitoring program was effective and potentially cost-effective for the management and control of diabetes among patients in primary care.

National Cancer Institute-funded grants focused on synchronous telehealth cancer care delivery: a portfolio analysis.

BACKGROUND: Telehealth use increased during the COVID-19 pandemic and remains a complementary source of cancer care delivery. Understanding research funding trends in cancer-related telehealth can highlight developments in this area of science and identify future opportunities. METHODS: Applications funded by the US National Cancer Institute (NCI) between fiscal years 2016 and 2022 and focused on synchronous patient-provider telehealth were analyzed for grant characteristics (eg, funding mechanism), cancer focus (eg, cancer type), and study features (eg, type of telehealth service). Of 106 grants identified initially, 60 were retained for coding after applying exclusion criteria. RESULTS: Almost three-quarters (73%) of telehealth grants were funded during fiscal years 2020-2022. Approximately 67% were funded through R01 or R37 mechanism and implemented as randomized controlled trials (63%). Overall, telehealth grants commonly focused on treatment (30%) and survivorship (43%); breast cancer (12%), hematologic malignancies (10%), and multiple cancer sites (27%); and health disparity populations (ie, minorities, rural residents) (73%). Both audio and video telehealth were common (65%), as well as accompanying mHealth apps (20%). Telehealth services centered on psychosocial care, self-management, and supportive care (88%); interventions were commonly delivered by mental health professionals (30%). CONCLUSION: NCI has observed an increase in funded synchronous patient-provider telehealth grants. Trends indicate an evolution of awards that have expanded across the cancer control continuum, applied rigorous study designs, incorporated additional digital technologies, and focused on populations recognized for disparate cancer outcomes. As telehealth is integrated into routine cancer care delivery, additional research evidence will be needed to inform clinical practice.

[Influence of telemedicine on the operation of public hospitals in China].

OBJECTIVE: Telemedicine, as an information-based tool, is widely recognized as an effective solution for compensating for the imbalanced allocation of medical resources in China. This study specifi-cally aimed to analyze the impact of telemedicine functions on the operational efficiency of public hospitals, with a particular focus on their heterogeneous effects on hospitals of different levels. METHODS: A cross-sectional research design was used based on the 2022 Health Informatization Statistical Survey data, and 8 944 public hospitals were used as research objects to analyze the impact of telemedicine on hospital revenues and business capacity. Multivariate linear model, propensity score matching (PSM), and grouped regression methods were employed to evaluate the impact of telemedicine on hospital revenues, number of consultations, and the number of discharges. RESULTS: The descriptive results showed that telemedicine was available in 35.51% of public hospitals. The analysis also demonstrated that various factors, such as hospital level, academic category, area of the hospital, administrational level and number of beds all had a significant influence on the operation of the hospital. Moreover, the regression results showed that opening telemedicine could increase hospital revenues by 0.140 (P < 0.01), hospital consultations by 0.136 (P < 0.01), and the number of discharges by 0.316 (P < 0.01). After correcting for endogeneity using the propensity score matching, the results showed that the effect of opening telemedicine on hospital revenues, consultations, and the number of discharges was 0.191 (P < 0.01), 0.216 (P < 0.01), and 0.353 (P < 0.01), respectively. Further heterogeneity analysis was conducted to explore the differential effects of telemedicine on hospitals of different levels. Grouped regression showed that telemedicine had a positive impact on the income of secondary hospitals, with a coefficient of 0.088 (P < 0.05), and it had a more significant positive impact on hospital consultations in secondary hospitals, with a coefficient of 0.127 (P < 0.01). An even greater impact on the number of discharges in primary hospitals, with a coefficient of 1.203 (P < 0.01). Telemedicine, on the other hand, did not have a significant positive impact on the overall revenue and operational capacity of tertiary hospitals. CONCLUSION: Telemedicine had a significant promoting effect on hospital revenues, hospital consultations and the number of discharges, and this effect was differentiated between hospitals of different levels. Through the construction of telemedicine, primary hospitals were able to significantly improve their business capacity and revenue, which played a positive role in improving the operation of primary public hospitals.

Cost-Effectiveness of Digital Mental Health Versus Usual Care During Humanitarian Crises in Lebanon: Pragmatic Randomized Trial.

BACKGROUND: There is evidence from meta-analyses and systematic reviews that digital mental health interventions for depression, anxiety, and stress-related disorders tend to be cost-effective. However, no such evidence exists for guided digital mental health care in low and middle-income countries (LMICs) facing humanitarian crises, where the needs are highest. Step-by-Step (SbS), a digital mental health intervention for depression, anxiety, and stress-related disorders, proved to be effective for Lebanese citizens and war-affected Syrians residing in Lebanon. Assessing the cost-effectiveness of SbS is crucial because Lebanon's overstretched health care system must prioritize cost-effective treatment options in the face of continuing humanitarian and economic crises. OBJECTIVE: This study aims to assess the cost-effectiveness of SbS in a randomized comparison with enhanced usual care (EUC). METHODS: The cost-effectiveness analysis was conducted alongside a pragmatic randomized controlled trial in 2 parallel groups comparing SbS (n=614) with EUC (n=635). The primary outcome was cost (in US $ for the reference year 2019) per treatment response of depressive symptoms, defined as >50% reduction of depressive symptoms measured using the Patient Health Questionnaire (PHQ). The secondary outcome was cost per remission of depressive symptoms, defined as a PHQ score <5 at last follow-up (5 months post baseline). The evaluation was conducted first from the health care perspective then from the societal perspective. RESULTS: Taking the health care perspective, SbS had an 80% probability to be regarded as cost-effective compared with EUC when there is a willingness to pay US $220 per additional treatment response or US $840 per additional remission. Taking the wider societal perspective, SbS had a >75% probability to be cost-saving while gaining response or remission. CONCLUSIONS: To our knowledge, this study is the first cost-effectiveness analysis based on a large randomized controlled trial (n=1249) of a guided digital mental health intervention in an LMIC. From the principal findings, 2 implications flowed, from the (1) health care perspective and (2) wider societal perspective. First, our findings suggest that SbS is associated with greater health benefits, albeit for higher costs than EUC. It is up to decision makers in health care to decide if they find the balance between additional health gains and additional health care costs acceptable. Second, as seen from the wider societal perspective, there is a substantial likelihood that SbS is not costing more than EUC but is associated with cost-savings as SBS participants become more productive, thus offsetting their health care costs. This finding may suggest to policy makers that it is in the interest of both population health and the wider Lebanese economy to implement SbS on a wide scale. In brief, SbS may offer a scalable, potentially cost-saving response to humanitarian emergencies in an LMIC. TRIAL REGISTRATION: ClinicalTrials.gov NCT03720769; https://clinicaltrials.gov/ct2/show/NCT03720769. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/21585.

Telehealth Expansion and Medicare Beneficiaries' Care Quality and Access.

Importance: Understanding the association of telehealth use with health care outcomes is fundamental to determining whether telehealth waivers implemented during the COVID-19 public health emergency should be made permanent. The current literature has yielded inconclusive findings owing to its focus on select states, practices, or health care systems. Objective: To estimate the association of telehealth use with outcomes for all Medicare fee-for-service (FFS) beneficiaries by comparing hospital service areas (HSAs) with different levels of telehealth use. Design, Setting, and Participants: This US population-based, retrospective cohort study was conducted from July 2022 to April 2023. Participants included Medicare claims of beneficiaries attributed to HSAs with FFS enrollment in Parts A and B. Exposures: Low, medium, or high tercile of telehealth use created by ranking HSAs according to the number of telehealth visits per 1000 beneficiaries. Main Outcomes and Measures: The primary outcomes were quality (ambulatory care-sensitive [ACS] hospitalizations and emergency department [ED] visits per 1000 FFS beneficiaries), access to care (clinician encounters per FFS beneficiary), and cost (total cost of care for Part A and/or B services per FFS Medicare beneficiary) determined with a difference-in-difference analysis. Results: In this cohort study of claims from approximately 30 million Medicare beneficiaries (mean [SD] age in 2019, 71.04 [1.67] years; mean [SD] percentage female in 2019, 53.83% [2.14%]) within 3436 HSAs, between the second half of 2019 and the second half of 2021, mean ACS hospitalizations and ED visits declined sharply, mean clinician encounters per beneficiary declined slightly, and mean total cost of care per beneficiary per semester increased slightly. Compared with the low group, the high group had more ACS hospitalizations (1.63 additional hospitalizations per 1000 beneficiaries; 95% CI, 1.03-2.22 hospitalizations), more clinician encounters (0.30 additional encounters per beneficiary per semester; 95% CI, 0.23-0.38 encounters), and higher total cost of care ($164.99 higher cost per beneficiary per semester; 95% CI, $101.03-$228.96). There was no statistically significant difference in ACS ED visits between the low and high groups. Conclusions and Relevance: In this cohort study of Medicare beneficiaries across all 3436 HSAs, high levels of telehealth use were associated with more clinician encounters, more ACS hospitalizations, and higher total health care costs. COVID-19 cases were still high during the period of study, which suggests that these findings partially reflect a higher capacity for providing health services in HSAs with higher telehealth intensity than other HSAs.

Telehealth Infrastructure, Accountable Care Organization, and Medicare Payment for Patients with Alzheimer's Disease and Related Dementia Living in Socially Vulnerable Areas.

Background: Structural social determinants of health have an accumulated negative impact on physical and mental health. Evidence is needed to understand whether emerging health information technology and innovative payment models can help address such structural social determinants for patients with complex health needs, such as Alzheimer's disease and related dementias (ADRD). Objective: This study aimed to test whether telehealth for care coordination and Accountable Care Organization (ACO) enrollment for residents in the most disadvantaged areas, particularly those with ADRD, was associated with reduced Medicare payment. Methods: The study used the merged data set of 2020 Centers for Medicare and Medicaid Services Medicare inpatient claims data, the Medicare Beneficiary Summary File, the Medicare Shared Savings Program ACO, the Center for Medicare and Medicaid Service's Social Vulnerability Index (SVI), and the American Hospital Annual Survey. Our study focused on community-dwelling Medicare fee-for-service beneficiaries aged 65 years and up. Cross-sectional analyses and generalized linear models (GLM) were implemented. Analyses were implemented from November 2023 to February 2024. Results: Medicare fee-for-service beneficiaries residing in SVI Q4 (i.e., the most vulnerable areas) reported significantly higher total Medicare costs and were least likely to be treated in hospitals that provided telehealth post-discharge services or have ACO affiliation. Meanwhile, the proportion of the population with ADRD was the highest in SVI Q4 compared with other SVI levels. The GLM regression results showed that hospital telehealth post-discharge infrastructure, patient ACO affiliation, SVI Q4, and ADRD were significantly associated with higher Medicare payments. However, coefficients of interaction terms among these factors were significantly negative. For example, the average interaction effect of telehealth post-discharge and ACO, SVI Q4, and ADRD on Medicare payment was -$1,766.2 (95% confidence interval: -$2,576.4 to -$976). Conclusions: Our results suggested that the combination of telehealth post-discharge and ACO financial incentives that promote care coordination is promising to reduce the Medicare cost burden among patients with ADRD living in socially vulnerable areas.