Filling the Gaps in the Pandemic Response: Impact of COVID-19 on Telehealth in the Military Health System

Introduction: As a result of the COVID-19 pandemic, telehealth use became widespread, allowing for continued health care while minimizing COVID-19 transmission risk for patients and providers. This rapid scale-up highlighted shortcomings of the current telehealth infrastructure in many health systems. We aimed to identify and address gaps in the United States Military Health System (MHS) response to the COVID-19 pandemic related to the implementation and utilization of telehealth. Methods: We conducted semistructured key informant interviews of MHS stakeholders, including policymakers, program managers, and health care providers. We recruited respondents using purposive and snowball sampling until we reached thematic saturation. Interviews were conducted virtually from December 2022 to March 2023 and coded by deductive thematic analysis using NVivo. Results: We interviewed 28 key informants. Several themes emerged from the interviews and were categorized into four defined areas of obstacles to the effective utilization of telehealth: administrative, technical, organizational, and quality issues. While respondents had positive perceptions of telehealth, issues such as billing, licensure portability, network connectivity and technology, and ability to monitor health outcomes represent major barriers in the current system, preventing the potential for further expansion. Conclusions: While the shift to telehealth during the COVID-19 pandemic demonstrated robust potential within the MHS, it highlighted shortcomings that impair the utility and expansion of telehealth on a level comparable to that of other large health systems. Future focus should be directed toward generating and implementing actionable recommendations that target these identified challenges in the MHS.

Trends in Telehealth Care During the COVID-19 Pandemic for the Military Health System

Introduction

The COVID-19 pandemic generated a major shift from in-person to telehealth care in efforts to reduce the spread of infection. This study assesses the effects of COVID-19 on the provision of telehealth in the United States Military Health System (MHS), a universally-insured, nationally representative population of beneficiaries who may receive direct care (DC) at military facilities or in the private-sector care (PSC).

Methods

Under a cross-sectional study design, we queried the MHS Data Repository for all telehealth services in the MHS from January 2019 to December 2021, using common procedure terminology code telehealth modifiers GT, GQ, and 95. Analyses were stratified by clinical, provider, and facility characteristics, and comparisons were made between telehealth rates before and during the COVID-19 period using a percent change.

Results

Telehealth usage increased by 20-fold in 2020 versus 2019, whereas provider types shifted from predominantly physicians to advanced practice nurses and physician assistants. Patterns of task shifting were different between DC and PSC. Tele-mental health visits showed a 118% change in DC and -20% change in PSC, suggesting recapture of care to military facilities. Decreases in DC telehealth visits for metabolic, endocrine, and musculoskeletal disorders were not compensated by increases in PSC, suggesting care deferred, delivered by another modality, or sought outside the MHS.

Conclusion

The increase in telehealth usage and behavioral health is in line with other published studies, whereas the shift in provider types aligns with MHS goals focused on increasing access through telehealth. More research is needed to answer questions of care deferral, which are relevant to national health care discussions.

Abstract P5-13-13: Non-clinical drivers of variation in preoperative MRI utilization for breast cancer

Background: Preoperative MRI utilization in breast cancer treatment has increased significantly over the past two decades but its use continues to have inter-provider variability and disputed clinical indications. The objective of this study was to evaluate non-clinical factors associated with preoperative breast MRI utilization.

Methods: This study utilized claims from the Military Health System Data Repository (MDR) on TRICARE Prime beneficiaries, from fiscal years 2006-2015. TRICARE provides health benefits for Active Duty service members, retirees, and their dependents at both military (direct care with salaried physicians) and civilian (purchased care with fee-for-service physicians) treatment facilities. We studied patients aged 25-64 years old with a breast cancer diagnosis who had undergone mammogram/breast ultrasound alone or with subsequent breast MRI prior to surgery. Patient demographics and treatment characteristics were abstracted from the data. The National Center for Health Statistics (NCHS) urban-rural classification was used to determine the urbanization level of the treatment facility. Adjusted multivariate logistic regression tests were used to identify independent factors associated with preoperative breast MRI utilization.

Results: Of the 25,656 identified patients, 64.4% of patients (n=16,511) received preoperative mammogram/breast ultrasound alone while 35.6% of patients (n=9,145) underwent additional MRI after mammographic and/or ultrasound imaging. On multivariable analysis, younger age, presence of two or more comorbidities, active duty or retired beneficiary category, officer rank (surrogate for socioeconomic status), Air Force service branch, metropolitan location, and purchased care were associated with increased likelihood of preoperative MRI utilization. Nonmetropolitan location and Navy service branch were associated with decreased MRI use.

  Odds Ratio95% Confidence IntervalAge Group (Ref: 55-64 years)25-34 years1.851.60-2.15 35-44 years1.591.47-1.72 45-54 years1.271.19-1.35Charlson Comorbidity Index (Ref 0-1)2+2.472.33-2.61Beneficiary Category (Ref: Dependent)Active Duty1.201.04-1.38 Retired1.231.09-1.40Rank (Ref: Senior Enlisted)Junior Enlisted0.930.78-1.11 Junior Officer1.251.14-1.37 Senior Officer1.481.36-1.60 Warrant Officer1.231.06-1.42Service Branch (Ref: Army)Air Force1.101.03-1.18 Navy0.920.85-0.99 Marines0.950.84-1.07 Coast Guard1.070.89-1.29Urban-Rural Classification (Ref: Medium Metropolitan)Large Central Metropolitan1.801.68-1.93 Large Fringe Metropolitan1.591.47-1.71 Small Metropolitan0.650.59-0.71 Micropolitan0.400.34-0.46 Noncore0.250.18-0.34Treatment Facility Care Setting (Ref: Direct Care)Purchased Care1.601.48-1.73

Conclusions: After controlling for expected clinical risk factors, patients were more likely to receive additional MRI when treated at larger metropolitan facilities or through the purchased, fee-for-service system. Both associations may point toward non-clinical incentives to perform MRI in the treatment of breast cancer.

Citation Format: Pak LM, Banaag A, Koehlmoos TP, Haider AH, Learn PA. Non-clinical drivers of variation in preoperative MRI utilization for breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-13-13.

Calculation of costs of pregnancy- and puerperium-related care: experience from a hospital in a low-income country

Calculation of costs of different medical and surgical services has numerous uses, which include monitoring the performance of service-delivery, setting the efficiency target, benchmarking of services across all sectors, considering investment decisions, commissioning to meet health needs, and negotiating revised levels of funding. The role of private-sector healthcare facilities has been increasing rapidly over the last decade. Despite the overall improvement in the public and private healthcare sectors in Bangladesh, lack of price benchmarking leads to patients facing unexplained price discrimination when receiving healthcare services. The aim of the study was to calculate the hospital-care cost of disease-specific cases, specifically pregnancy- and puerperium-related cases, and to indentify the practical challenges of conducting costing studies in the hospital setting in Bangladesh. A combination of micro-costing and step-down cost allocation was used for collecting information on the cost items and, ultimately, for calculating the unit cost for each diagnostic case. Data were collected from the hospital records of 162 patients having 11 different clinical diagnoses. Caesarean section due to maternal and foetal complications was the most expensive type of case whereas the length of stay due to complications was the major driver of cost. Some constraints in keeping hospital medical records and accounting practices were observed. Despite these constraints, the findings of the study indicate that it is feasible to carry out a large-scale study to further explore the costs of different hospital-care services.