Maryland's Global Budget Revenue Payment Model and Shifts in the Surgical Site of Care Among Medicare Beneficiaries.

OBJECTIVE: To assess the association between the Global Budget Revenue (GBR) payment model and shifts to the outpatient setting for surgical procedures among Medicare fee-for-service beneficiaries in Maryland versus control states. SUMMARY BACKGROUND DATA: The GBR model provides fixed global payments to hospitals to reduce spending growth and incentivize hospitals to reduce the costs of care while improving care quality. Since surgical care is a major contributor to hospital spending, the GBR model might accelerate the ongoing shift from the inpatient to the outpatient setting to generate additional savings. METHODS: A difference-in-differences (DiD) design was used to compare changes in surgical care settings over time from pre-GBR (2011-2013) to post-GBR (2014-2018) for Maryland versus control states for common surgeries that could be performed in the outpatient setting. A cross-sectional approach was used to compare the difference in care settings in 2018 for total knee arthroplasty which was on Medicare's Inpatient-Only List before then. RESULTS: We studied 47,542 surgical procedures from 44,410 beneficiaries in Maryland and control states. GBR's 2014 implementation was associated with an acceleration in the shift from inpatient to outpatient settings for surgical procedures in Maryland (DiD: 3.9 percentage points, 95% CI: 2.3, 5.4). Among patients undergoing total knee arthroplasty in 2018, the proportion of outpatient surgeries in Maryland was substantially higher than that in control states (difference: 27.6 percentage points, 95% CI: 25.6, 29.6). CONCLUSIONS: Implementing Maryland's GBR payment model was associated with an acceleration in the shift from inpatient to outpatient hospital settings for surgical procedures.

Catastrophic health expenditures, insurance churn, and non-employment among women with breast cancer.

BACKGROUND: Breast cancer treatment and survivorship entails a complex and expensive continuum of subspecialty care. Our objectives were to assess catastrophic health expenditures, insurance churn, and non-employment among women younger than 65 years who reported a diagnosis of breast cancer. We also evaluated changes in these outcomes related to implementation of the Affordable Care Act. METHODS: The data source for this study was the Medical Expenditure Panel Survey (2005-2019), which is a national annual cross-sectional survey of families, providers, and insurers in the United States. To assess the impact of breast cancer, comparisons were made with a matched cohort of women without cancer. We estimated predicted marginal probabilities to quantify the effects of covariates in models for catastrophic health expenditures, insurance churn, and non-employment. RESULTS: We identified 1490 respondents younger than 65 years who received care related to breast cancer during the study period, representing a weight-adjusted annual mean of 1 062 129 patients. Approximately 31.8% of women with breast cancer reported health expenditures in excess of 10% of their annual income. In models, the proportion of women with breast cancer who experienced catastrophic health expenditures and non-employment was inversely related to increasing income. During Affordable Care Act implementation, mean number of months of uninsurance decreased and expenditures increased among breast cancer patients. CONCLUSIONS: Our study underscores the impact of breast cancer on financial security and opportunities for patients and their families. A multilevel understanding of these issues is needed to design effective and equitable strategies to improve quality of life and survivorship.

Transforming Specialty Care Delivery and Payment Under Global Budgets-Insights from the Provision of Surgical Services in Maryland.

This Viewpoint discusses Maryland's global budget revenue model, which centrally regulates reimbursement rates for all payers via a hospital-specific, prospectively set cap on total annual revenue across all care sites.

Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients.

PURPOSE: Clinical management of patients receiving immune checkpoint inhibitors (ICIs) could be informed using accurate predictive tools to identify patients at risk of short-term acute care utilization (ACU). We used routinely collected data to develop and assess machine learning (ML) algorithms to predict unplanned ACU within 90 days of ICI treatment initiation. METHODS: We used aggregated electronic health record data from 7,960 patients receiving ICI treatments to train and assess eight ML algorithms. We developed the models using pre-SARS-COV-19 COVID-19 data generated between January 2016 and February 2020. We validated our algorithms using data collected between March 2020 and June 2022 (peri-COVID-19 sample). We assessed performance using area under the receiver operating characteristic curves (AUROC), sensitivity, specificity, and calibration plots. We derived intuitive explanations of predictions using variable importance and Shapley additive explanation analyses. We assessed the marginal performance of ML models compared with that of univariate and multivariate logistic regression (LR) models. RESULTS: Most algorithms significantly outperformed the univariate and multivariate LR models. The extreme gradient boosting trees (XGBT) algorithm demonstrated the best overall performance (AUROC, 0.70; sensitivity, 0.53; specificity, 0.74) on the peri-COVID-19 sample. The algorithm performance was stable across both pre- and peri-COVID-19 samples, as well as ICI regimen and cancer groups. Type of ICI agents, oxygen saturation, diastolic blood pressure, albumin level, platelet count, immature granulocytes, absolute monocyte, chloride level, red cell distribution width, and alcohol intake were the top 10 key predictors used by the XGBT algorithm. CONCLUSION: Machine learning algorithms trained using routinely collected data outperformed traditional statistical models when predicting 90-day ACU. The XGBT algorithm has the potential to identify high-ACU risk patients and enable preventive interventions to avoid ACU.

Integration of Remote Symptom and Biometric Monitoring Into the Care of Adult Patients With Cancer Receiving Chemotherapy-A Decentralized Feasibility Pilot Study.

PURPOSE: Although electronic patient-reported outcomes (ePROs) are efficacious in symptom management, much is unknown about the utility of vital signs surveillance. We examined the feasibility of a remote patient monitoring platform that integrates ePROs and biometrics into the ambulatory management of symptom burden. METHODS: Using a decentralized workflow, patients with gastrointestinal or thoracic cancer were approached for a 1-month study. Patients reported symptom burden via ePROs and biometrics (blood pressure, oxygen saturation, pulse, weight, and temperature) using bluetooth-enabled devices daily. Alerts on the basis of prespecified thresholds were managed via nurse-led triage. Adherence was defined as the completion of > 70% of daily symptom and biometric reporting requirements. Pilot acceptability, appropriateness, and feasibility were measured using validated instruments. Net promoter score, system usability scale, and emergency department (ED) admission rates were collected. RESULTS: Over 8 months, 36 patients were enrolled and 25 (60% gastrointestinal) completed the study. Participants had a mean age of 58.0 years, mean Eastern Cooperative Oncology Group score of 0.88, were 52% female, and predominantly had stage IV or recurrent disease (72%). Program adherence was 73% and associated with high acceptability (4.63), feasibility (4.56), and appropriateness (4.46). System usability scale and net promoter score scores were 88 and 55, respectively. Seventy percent of alerts were generated by biometrics, 28% for symptoms, and 2% were patient-initiated communication. Finally, the ED visitation rate over the pilot period was 8%. CONCLUSION: Our remote patient monitoring pilot program was highly acceptable, feasible, and appropriate. It had high rates of patient adherence and satisfaction and was associated with low ED visitation rates.

Association between patient-surgeon race and gender concordance and patient-reported outcomes following breast cancer surgery.

PURPOSE: Surgeon- and patient-related factors have been shown to influence patient experiences, quality of life (QoL), and surgical outcomes. We examined the association between patient-surgeon race and gender concordance with QoL after breast reconstruction. METHODS: We conducted a retrospective cross-sectional analysis of patients who underwent lumpectomy or mastectomy followed by breast reconstruction over a 3-year period. We created the following categories with respect to the race and gender of a patient-surgeon triad: no, intermediate, and perfect concordance. Multivariable regression was used to correlate postoperative global (SF-12) and condition-specific (BREAST-Q) QoL performance with patient-level covariates, gender and race concordance. RESULTS: We identified 375 patients with a mean (± SD) age of 57.6 ± 11.9 years, median (IQR) body mass index of 27.5 (24.0, 32.0), and median morbidity burden of 3 (2, 4). The majority of encounters were of intermediate concordance for gender (70%) and race (52%). Compared with gender-discordant triads, intermediate gender concordance was associated with higher SF-Mental scores (ß, 2.60; 95% CI, 0.21-4.99, p = 0.003). Perfect race concordance (35% of encounters) was associated with significantly higher adjusted SF-Physical scores (ß, 2.14; 95% CI, 0.50-4.22, p = 0.045) than the race-discordant group. There were no significant associations observed between race or gender concordance and BREAST-Q performance. CONCLUSION: Race-concordant relationships following breast cancer surgery were more likely to have improved global QoL. Perfect gender concordance was not associated with variation in QoL outcomes. Policy-level interventions are needed to facilitate personalized care and optimize breast cancer surgery outcomes.

Impact of High-Deductible Health Plans on Breast Reconstruction: Considerations for Financial Toxicity.

BACKGROUND: High-deductible health plans (HDHPs) are used within the United States to curb unnecessary health care spending; however, the resulting increased out-of-pocket (OOP) costs may be associated with financial toxicity. The aim was to assess the impact of HDHPs on use and seasonality of mastectomy and breast reconstruction procedures. The hypothesis is that the high OOP costs of HDHPs will lead to decreased overall service use and greater fourth-quarter use after the deductible has been met. METHODS: MarketScan was queried from 2014 to 2017 for episodes of mastectomy, breast reconstruction (immediate and delayed), breast revision, and reduction. Only patients continuously enrolled for the full calendar year after the index operation were included. HDHPs and low-deductible health plans (LDHPs) were compared based on OOP cost sharing. Outcomes included surgery use rates, seasonality of operations, and median/mean OOP costs. RESULTS: Annual mastectomy and breast reconstruction use rates varied little between LDHPs and HDHPs. Mastectomies, delayed breast reconstruction, and elective breast procedures (P < 0.001) all showed significant increases in fourth-quarter use, whereas immediate breast reconstruction did not. Regardless of timing and reconstruction method, HDHPs had significantly greater median OOP costs compared to LDHPs (all P < 0.001). CONCLUSIONS: Mastectomy and breast reconstruction rates did not differ between LDHPs and HDHPs, but seasonality for all breast procedures was measured with the exception of immediate breast reconstruction, suggesting that women are rational economic actors. Regardless of service timing and reconstruction modality, HDHP patients had greater OOP costs compared to LDHP patients, which serves as a good starting point for provider engagement in financial toxicity.

Is the Centralization of Complex Surgical Procedures an Unintended Spillover Effect of Global Capitation? - Insights from the Maryland Global Budget Revenue Program.

OBJECTIVE: To determine if global budget revenue (GBR) models incent the centralization of complex surgical care. SUMMARY BACKGROUND: In 2014, Maryland initiated a statewide GBR model. While prior research has shown improvements in cost and outcomes for surgical care post-GBR implementation, the mechanism remains unclear. METHODS: Utilizing state inpatient databases, we compared the proportion of adults undergoing elective complex surgeries (gastrectomy, pneumonectomy/lobectomy, proctectomies, and hip/knee revision) at high-concentration hospitals (HCHs) in Maryland and control states. Annual concentration, per procedure, was defined as hospital volume divided by state volume. HCHs were defined as hospitals with a concentration at least at the 75 th percentile in 2010. We estimated the difference-in-differences (DiD) of the probability of patients undergoing surgery at HCHs before and after GBR implementation. FINDINGS: Our sample included 122,882 surgeries. Following GBR implementation, all procedures were increasingly performed at HCHs in Maryland. States satisfied the parallel trends assumption for the centralization of gastrectomy and pneumonectomy/lobectomy. Post-GBR, patients were more likely to undergo gastrectomy (DiD: 5.5 p.p., 95% CI [2.2, 8.8]) and pneumonectomy/lobectomy (DiD: 12.4 p.p., 95% CI [10.0, 14.8]) at an HCH in Maryland compared with control states. For our hip/knee revision analyses, we assumed persistent counterfactuals and noted a positive DiD post-GBR implementation (DiD: 4.8 p.p., 95% CI [1.3, 8.2]). No conclusion could be drawn for proctectomy due to different pre-GBR trends. CONCLUSIONS: GBR implementation is associated with increased centralization for certain complex surgeries. Future research is needed to explore the impact of centralization on patient experience and access.

Trends in Episode-of-Care Spending for Cancer-Directed Surgery Among US Medicare Beneficiaries From 2011 to 2019.

This cross-sectional study examines trends in the number of cancer-directed surgeries from 2011 to 2019 among US patients aged 65 years or older and in Medicare spending for those surgeries overall and by inpatient vs outpatient sites of care.

Textbook outcomes in DIEP flap breast reconstruction: a Delphi study to establish consensus.

PURPOSE: Composite measures, like textbook outcomes, may be superior to individual metrics when assessing hospital performance and quality of care. This study utilized a Delphi process to define a textbook outcome in DIEP flap breast reconstruction. METHODS: A two-round Delphi survey defined: (1) A textbook outcome, (2) Exclusion criteria for a study population, and (3) Respondent opinion regarding textbook outcomes. An a priori threshold of ≥ 70% agreement among respondents established consensus among the tested statements. RESULTS: Out of 85 invitees, 48 responded in the first round and 41 in the second. A textbook outcome was defined as one that meets the following within 90 days: (1) No intraoperative complications, (2) Operative duration ≤ 12 h for bilateral and ≤ 10 h for unilateral/stacked reconstruction, (3) No post-surgical complications requiring re-operation, (4) No surgical site infection requiring IV antibiotics, (5) No readmission, (6) No mortality, (7) No systemic complications, and (8) Length of stay < 5 days. Exclusion criteria for medical and surgical characteristics (e.g., BMI > 40, HgbA1c > 7) and case-volume cut-offs for providers (≥ 21) and institutions (≥ 44) were defined. Most agreed that textbook outcomes should be defined for complex plastic surgery procedures (75%) and utilized to gauge hospital performance for microsurgical breast reconstruction (77%). CONCLUSION: This Delphi study identified (1) Key elements of a textbook outcome for DIEP flap breast reconstruction, (2) Exclusion criteria for future studies, and (3) Characterized surgeon opinions regarding the utility of textbook outcomes in serving as quality metric for breast reconstruction care.

Area Deprivation Index is Associated with Variation in Quality of Life and Psychosocial Well-being Following Breast Cancer Surgery.

BACKGROUND: Neighborhood-level factors have been shown to influence surgical outcomes through material deprivation, psychosocial mechanisms, health behaviors, and access to resources. To date, no study has examined the relationship between area-level deprivation (ADI) and post-mastectomy outcomes. METHODS: A cross-sectional survey of adult female breast cancer patients who underwent lumpectomy or mastectomy between January 2018 to June 2019 was carried out. Patient-specific characteristics and ADI information were abstracted and correlated with postoperative global- (SF-12) and condition-specific (BREAST-Q) quality-of-life performance via multivariable regression. Patients were classified into three ADI terciles: 0-39 (low deprivation), 40-59 (moderate deprivation), and 60-100 (high deprivation). RESULTS: A total of 564 consecutive patients were identified, being mostly white (75%) with mean age of 60.2 ± 12.4 years, median body mass index of 27.8 [interquartile range (IQR) 24.3-32.2) kg/m2, median Charlson Comorbidity Index of 3 (IQR 2-5), and mean ADI of 42.3 ± 25.7. African American and Hispanic patients and those with high BMI were more likely to reside in highly deprived neighborhoods (p = 0.003 and p < 0.001). In adjusted models, patients in highly deprived neighborhoods had significantly lower mean SF-12 physical (44.9 [95% CI, 43.8-46.0] versus 44.9 [95% CI, 43.7-46.1] versus 46.3 [95% CI, 45.3-47.3], p = 0.03) and BREAST-Q psychosocial well-being scores (63.5 [95% CI, 59.32-67.8] versus 69.3 [95% CI, 65.1-73.6] versus 69.7 [95% CI, 66.4-73.1], p = 0.01) relative to moderate- and low-deprivation groups. CONCLUSIONS: Patients residing in the most deprived neighborhoods were identified to have worse psychological well-being and quality-of-life. The ADI should be incorporated into the shared decision-making process and perioperative counseling to engender value-based and personalized care, especially for vulnerable populations.

Implementation of the Maryland Global Budget Revenue Model and Variation in the Expenditures and Outcomes of Surgical Care: A Systematic Review and Meta-analysis.

OBJECTIVE: To assess the effect of the Global Budget Revenue (GBR) program on outcomes after surgery. BACKGROUND: There is limited data summarizing the effect of the GBR program on surgical outcomes as compared with traditional fee-for-service systems. METHODS: The Medline, Embase, Scopus, and Web of Science databases were used to conduct a systematic literature search on April 5, 2022. We identified full-length reports of comparative studies involving patients who underwent surgery in Maryland after implementation of the GBR program. A random effects model calculated the overall pooled estimate for each outcome which included complications, rates of readmission and mortality, length of stay, and costs. RESULTS: Fourteen studies were included in the qualitative synthesis, with 8 unique studies included in the meta-analysis. Our analytical sample was comprised of 170,011 Maryland patients, 78,171 patients in the pre-GBR group, and 91,840 patients in the post-GBR group. The pooled analysis identified modest reductions in costs [standardized mean difference (SMD) -0.34; 95% CI, -0.42, -0.25; P <0.001], complications [odds ratio (OR): 0.57; 95% CI, 0.36-0.92, P =0.02], readmission (OR: 0.78; 95% CI, 0.72-0.85, P <0.001), mortality (OR: 0.58; 95% CI, 0.47-0.72, P <0.001), and length of stay (standardized mean difference: -0.26; 95% CI, -0.32, -0.2, P <0.001) after surgery. CONCLUSIONS: Implementation of the GBR program is associated with improved outcomes and reductions in costs among Maryland patients who underwent surgical procedures. This is particularly salient given the increasing need to disseminate and scale population-based payment models that improve patient care while controlling health care costs.

Master's Degrees Among Academic Plastic Surgeons and Plastic Surgery Residents: What Are the Trends?

BACKGROUND: As more plastic surgery clinicians pursue advanced degrees and strive to become stronger physician-scientists, an objective understanding of how such degrees influence careers becomes important. We hypothesized that having a master's degree is associated with higher scholarly activity, research funding, academic progression, and leadership appointments. METHODS: Accreditation Council for Graduate Medical Education-accredited integrated plastic surgery residency program Web sites were queried to create a data set of current academic plastic surgeons (APSs) and plastic surgery residents (PSRs). Scholarly metrics such as publications, citations, and H-indices were extracted from the Scopus database. National Institutes of Health and Plastic Surgery Foundation funding information was collected through their respective Web sites. RESULTS: Our cohort comprised 799 APSs and 922 PSRs, of whom 8% and 7.4%, respectively, had at least one master's degree. Academic plastic surgeons with master's of public health degrees had a significantly higher median number of publications and citations than APSs without a master's of public health. There was no association between any master's degree and academic rank or being a department chairman or program director. Academic plastic surgeons with master of science degrees were more likely to receive National Institutes of Health grants. Among PSRs, master's of science graduates had a higher median number of publications. Other master's degrees did not significantly influence scholarly productivity or funding. CONCLUSIONS: Certain master's degrees had an impact on scholarly productivity, with no significant effect on academic rank or leadership positions. The value of master's degrees in programs focusing on healthcare management, leadership skills, and business acumen likely extends beyond the scope of this study.

Health insurance and financial hardship in cancer survivors during the COVID-19 pandemic.

Uninsured or underinsured individuals with cancer are likely to experience financial hardship, including forgoing healthcare or non-healthcare needs such as food, housing, or utilities. This study evaluates the association between health insurance coverage and financial hardship among cancer survivors during the COVID-19 pandemic. This cross-sectional analysis used Patient Advocate Foundation (PAF) survey data from May to July 2020. Cancer survivors who previously received case management or financial aid from PAF self-reported challenges paying for healthcare and non-healthcare needs during the COVID-19 pandemic. Associations between insurance coverage and payment challenges were estimated using Poisson regression with robust standard errors, which allowed for estimation of adjusted relative risks (aRR). Of 1,437 respondents, 74% had annual household incomes <$48,000. Most respondents were enrolled in Medicare (48%), 22% in employer-sponsored insurance, 13% in Medicaid, 6% in an Affordable Care Act (ACA) plan, and 3% were uninsured. Approximately 31% of respondents reported trouble paying for healthcare during the COVID-19 pandemic. Respondents who were uninsured (aRR 2.58, 95% confidence interval [CI] 1.83-3.64), enrolled in an ACA plan (aRR 1.86, 95% CI 1.28-2.72), employer-sponsored insurance (aRR 1.70, 95% CI 1.23-2.34), or Medicare (aRR 1.49, 95% CI 1.09-2.03) had higher risk of trouble paying for healthcare compared to Medicaid enrollees. Challenges paying for non-healthcare needs were reported by 57% of respondents, with 40% reporting trouble paying for food, 31% housing, 28% transportation, and 20% internet. In adjusted models, Medicare and employer-sponsored insurance enrollees were less likely to have difficulties paying for non-healthcare needs compared to Medicaid beneficiaries. Despite 97% of our cancer survivor sample being insured, 31% and 57% reported trouble paying for healthcare and non-healthcare needs during the COVID-19 pandemic, respectively. Greater attention to both medical and non-medical financial burden is needed given the economic pressures of the COVID-19 pandemic.

Determinants of telemedicine adoption among financially distressed patients with cancer during the COVID-19 pandemic: insights from a nationwide study.

PURPOSE: Telemedicine use during the COVID-19 pandemic among financially distressed patients with cancer, with respect to the determinants of adoption and patterns of utilization, has yet to be delineated. We sought to systematically characterize telemedicine utilization in financially distressed patients with cancer during the COVID-19 pandemic. METHODS: We conducted a cross-sectional analysis of nationwide survey data assessing telemedicine use in patients with cancer during the COVID-19 pandemic collected by Patient Advocate Foundation (PAF) in December 2020. Patients were characterized as financially distressed by self-reporting limited financial resources to manage out-of-pocket costs, psychological distress, and/or adaptive coping behaviors. Primary study outcome was telemedicine utilization during the pandemic. Secondary outcomes were telemedicine utilization volume and modality preferences. Multivariable and Poisson regression analyses were used to identify factors associated with telemedicine use. RESULTS: A convenience sample of 627 patients with cancer responded to the PAF survey. Telemedicine adoption during the pandemic was reported by 67% of patients, with most (63%) preferring video visits. Younger age (19-35 age compared to ≥ 75 age) (OR, 6.07; 95% CI, 1.47-25.1) and more comorbidities (≥ 3 comorbidities compared to cancer only) (OR, 1.79; 95% CI, 1.13-2.65) were factors associated with telemedicine adoption. Younger age (19-35 years) (incidence rate ratios [IRR], 1.78; 95% CI, 24-115%) and higher comorbidities (≥ 3) (IRR; 1.36; 95% CI, 20-55%) were factors associated with higher utilization volume. As area deprivation index increased by 10 units, the number of visits decreased by 3% (IRR 1.03, 95% CI, 1.03-1.05). CONCLUSIONS: The rapid adoption of telemedicine may exacerbate existing inequities, particularly among vulnerable financially distressed patients with cancer. Policy-level interventions are needed for the equitable and efficient provision of this service.

Area Deprivation Index and Rurality in Relation to Financial Toxicity among Breast Cancer Surgical Patients: Retrospective Cross-Sectional Study of Geospatial Differences in Risk Profiles.

BACKGROUND: Financial toxicity (FT) depicts the burden of cancer treatment costs and is associated with lower quality of life and survival in breast cancer patients. We examined the relationship between geospatial location, represented by rurality and Area Deprivation Index (ADI), and risk of FT. STUDY DESIGN: A single-institution, cross-sectional study was performed on adult female surgical breast cancer patients using survey data retrospectively collected between January 2018 and June 2019. Chart reviews were used to obtain patient information, and FT was identified using the COmprehensive Score for Financial Toxicity questionnaire, which is a validated instrument. Patients' home addresses were used to determine rurality using the Rural Urban Continuum Codes and linked to national ADI score. ADI was analyzed in tertiles for univariate statistical analyses, and as a continuous variable to develop multivariable logistic regression models to evaluate the independent associations of geospatial location with FT. RESULTS: A total of 568 surgical breast cancer patients were included. Univariate analyses found significant differences across ADI tertiles with respect to race/ethnicity, marital status, insurance type, education, and rurality. In multivariable analysis, advanced cancer stage (odds ratio [OR] 2.26, 95% CI 1.15 to 4.44) and higher ADI (OR 1.012, 95% CI 1.01 to 1.02) were associated with worsening odds of FT. Increasing age (continuous) (OR 0.976, 95% CI 0.96 to 0.99), married status (vs unmarried) (OR 0.46, 95% CI 0.30 to 0.70), and receipt of bilateral mastectomy (OR 0.56, 95% CI 0.32 to 0.96) were protective of FT. CONCLUSIONS: FT was significantly associated with areas of greater socioeconomic deprivation as measured by the ADI. However, in adjusted analyses, rurality was not significantly associated with FT. ADI can be useful for preoperative screening of at-risk populations and the targeted deployment of community-based interventions to alleviate FT.