OBJECTIVE: To study the use of a quasi-experimental design to assess the effects of scaling reimbursement policies on the incidence of chronic-periodontitis procedures.
METHODS: Interrupted time series analysis was used to compare the effects before and after policy implementation using data on the number of periodontitis-related procedures from the Korean National Health Insurance Service-National Sample Cohort (n = 740,467) and the Health Screening Cohort (n = 337,904). Periodontitis-related procedures with diagnosis codes were categorized into basic (scaling or root planing), intermediate (subgingival curettage) and advanced (tooth extraction, periodontal flap surgery, bone grafting for alveolar bone defects or guided tissue regeneration). Subjects\' demographics and comorbidities were considered. The incidence rate of immediate changes and gradual effects before and after policy implementation was assessed.
RESULTS: Following the policy implementation from July 2013, an immediate increase was observed in total and basic procedures. No significant changes were noted in intermediate and advanced procedures initially. A decrease in the slope of intermediate procedures was observed in both databases. Advanced procedures showed varied trends, with no change in the National Sample Cohort but an increase in the Health Screening Cohort, particularly among subjects with comorbidities.
CONCLUSIONS: Following the new policy implementation, the number of intermediate procedures decreased while the number of advanced procedures increased, especially among patients with comorbidities. These findings offer valuable insights on policy evaluation.

UNASSIGNED: The rapid growth of digital health tools, including digital applications, wearables, sensors, diagnostics, digital therapeutics (DTx), and prescription DTx, offers new ways to treat patients and close gaps in care. Payers need transparent, credible, and efficient processes to differentiate products for potential reimbursement from the larger universe of digital health products.
UNASSIGNED: To identify areas of agreement, disagreement, and rationale for payers to determine which digital health products should be evaluated for formulary consideration and to develop generalizable criteria for health care decision-makers developing policies and approaches for digital health products.
UNASSIGNED: Experts from the Academy of Managed Care Pharmacy DTx Advisory Group Payer Evaluation subcommittee rated whether a pharmacy and therapeutics committee, health technology assessment group, or an innovation center within a health plan or pharmacy benefit manager should consider 14 hypothetical products for potential formulary coverage. Using a 4-step modified Delphi approach, experts rated whether it was appropriate for a payer to evaluate each product on a scale of 1 (strongly disagree) to 9 (strongly agree). Quantitative agreement was assessed using terciles of responses, medians, and the distribution of appropriateness scores. The corresponding discussions are summarized to identify generalizable criteria for payers to consider as they develop approaches to determine which digital health products to evaluate.
UNASSIGNED: Among the 14 hypothetical products, 4 achieved quantitative agreement that payers should evaluate the product. 5 products had quantitative disagreement, and the remaining were indeterminant. Payers were most likely to review a product if it (1) was reviewed by the US Food and Drug Administration, (2) required a prescription, (3) was intended to be paid for using premium dollars, (4) treated rather than diagnosed or monitored a clinical condition, (5) had a low clinical opportunity cost, and (6) could address population health metrics.
UNASSIGNED: The rapid availability of digital health and DTx options can be daunting for health care decision-makers when determining which products to evaluate. These generalizable criteria can help payers develop a more efficient process.

This JAMA Forum discusses aspects of individual coverage health reimbursement arrangements and their expanded use over the last few years.

The office-based laboratory (OBL) industry has proliferated over the past decade as surgical cases have increasingly migrated from inpatient to outpatient surgical settings, including OBLs, ambulatory surgery centers and infusion centers. Although many physicians and patients prefer to provide and receive care in an OBL setting because it provides a high quality, lower cost and convenient alternative to receiving care in a hospital, the OBL industry is nonetheless under attack on a variety of fronts. Governmental and commercial payor reimbursement for OBL procedures has declined substantially over time, and there have been lawsuits, governmental investigations and news articles that have been critical of care provided in OBLs. These issues have generated headwinds for this young but growing industry. It is therefore important for physicians and investors alike interested in developing an OBL to be aware of the complex landscape of laws and regulations that apply to OBLs. This article provides an overview of key legal, corporate, tax, financial and structural considerations for operators to be aware of before opening an OBL.

OBJECTIVE: To categorize and trend annual out-of-pocket expenditures for arthroscopic rotator cuff repair (RCR) patients relative to total healthcare utilization (THU) reimbursement and compare drivers of patient out-of-pocket expenditures (POPE) in a granular fashion via analyses by insurance type and surgical setting.
METHODS: Patients who underwent outpatient arthroscopic RCR in the United States from 2013 to 2018 were identified from the IBM MarketScan Database. Primary outcome variables were total POPE and THU reimbursement, which were calculated for all claims in the 9-month perioperative period. Trends in outcome variables over time and differences across insurance types were analyzed. Multivariable analysis was performed to investigate drivers of POPE.
RESULTS: A total of 52,330 arthroscopic RCR patients were identified. Between 2013 and 2018, median POPE increased by 47.5% ($917 to $1,353), and median THU increased by 9.3% ($11,964 to $13,076). Patients with high deductible insurance plans paid $1,910 toward their THU, 52.5% more than patients with preferred provider plans ($1,253, P = .001) and 280.5% more than patients with managed care plans ($502, P = .001). All components of POPE increased over the study period, with the largest observed increase being POPE for the immediate procedure (P = .001). On multivariable analysis, out-of-network facility, out-of-network surgeon, and high-deductible insurance most significantly increased POPE.
CONCLUSIONS: POPE for arthroscopic RCR increased at a higher rate than THU over the study period, demonstrating that patients are paying an increasing proportion of RCR costs. A large percentage of this increase comes from increasing POPE for the immediate procedure. Out-of-network facility status increased POPE 3 times more than out-of-network surgeon status, and future cost-optimization strategies should focus on facility-specific reimbursements in particular. Last, ambulatory surgery centers (ASCs) significantly reduced POPE, so performing arthroscopic RCRs at ASCs is beneficial to cost-minimization efforts.
CONCLUSIONS: This study highlights that although payers have increased reimbursement for RCR, patient out-of-pocket expenditures have increased at a much higher rate. Furthermore, this study elucidates trends in and drivers of patient out-of-pocket payments for RCR, providing evidence for development of cost-optimization strategies and counseling of patients undergoing RCR.

UNASSIGNED: Patient perceptions of physician reimbursement commonly differ from actual reimbursement. This study aims to improve health care cost transparency and trust between patients, physicians, and the health care system by evaluating patient perceptions of Medicare reimbursement for artificial urinary sphincter (AUS) placement.
UNASSIGNED: We identified patients who underwent AUS placement at a single institution from 2014 to 2023. After obtaining informed consent, we administered a telephone survey to ask patients about their perceptions of Medicare reimbursement for AUS surgery and the amount they felt the physician should be compensated.
UNASSIGNED: Sixty-four patients were enrolled and completed the survey. On average, patients estimated Medicare physician reimbursement to be $18,920, 25 times the actual average procedure reimbursement. Once informed that the actual amount was $757.52, 97% of respondents felt that the reimbursement was \"somewhat lower\" (13%) or \"much lower\" (84%) than what they considered fair. The average amount that patients felt the physician should be paid was $8,844, 12 times the actual average procedure reimbursement. Fifty-four percent of patients estimated their physician\'s reimbursement to be higher than what they later reported as being \"fair,\" representing a presurvey belief that their physician was overpaid.
UNASSIGNED: Patient perceptions of physician reimbursement for AUS are vastly different than the actual amount paid. The discordance between patient perception and actual reimbursement could impact how patients view health care costs and the relationship with their provider.

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UNASSIGNED: Recent changes in China\'s social medical insurance reimbursement policy have impacted the financial burden of patients with phenylketonuria (PKU) for special foods. However, whether this policy change is associated with their blood phenylalanine (PHE) concentration is unclear.
UNASSIGNED: To investigate the association between the reimbursement policy and blood PHE concentration in patients with PKU.
UNASSIGNED: This cohort study measured the blood PHE concentrations of 167 patients with PKU across 4 newborn screening centers in China from January 2018 to December 2021. The reimbursement policy for special foods for patients with PKU at 2 centers was canceled in 2019 and restored from 2020 onwards. In contrast, the other 2 centers consistently implemented the policy. Data were analyzed from September 10 to December 6, 2023.
UNASSIGNED: The implementation and cancelation of the reimbursement policy for special foods of patients with PKU.
UNASSIGNED: The blood PHE concentration was regularly measured from 2018 to 2021. A 1-sided Z test was used to compare the mean of the blood PHE concentration between different years.
UNASSIGNED: Among 167 patients with PKU (mean [SD] age, 84.4 [48.3] months; 87 males [52.1%]), a total of 4285 measurements of their blood PHE concentration were collected from 2018 to 2021. For patients at the center that canceled the reimbursement policy in 2019, the mean (SD) of the blood PHE concentrations in 2019 was 5.95 (5.73) mg/dL, significantly higher than 4.84 (4.11) mg/dL in 2018 (P < .001), 5.06 (5.21) mg/dL in 2020 (P = .006), and 4.77 (4.04) mg/dL in 2021 (P < .001). Similarly, for patients at the other center that canceled the policy in 2019, the mean (SD) of the blood PHE concentrations in 2019 was 5.95 (3.43) mg/dL, significantly higher than 5.34 (3.45) mg/dL in 2018 (P = .03), 5.13 (3.15) mg/dL in 2020 (P = .003), and 5.39 (3.46) mg/dL in 2021 (P = .03). On the contrary, no significant difference was observed between any of the years for patients at the 2 centers that consistently implemented the policy.
UNASSIGNED: In this cohort study of patients with PKU from multiple centers, the implementation of the reimbursement policy for special foods was associated with controlling the blood PHE concentration. Special foods expenditure for patients with PKU should be included in the scope of long-term social medical insurance reimbursement.

BACKGROUND: The availability of increasingly advanced and expensive new health technologies puts considerable pressure on publicly financed healthcare systems. Decisions to not-or no longer-reimburse a health technology from public funding may become inevitable. Nonetheless, policymakers are often pressured to amend or revoke negative reimbursement decisions due to the public disagreement that typically follows such decisions. Public disagreement may be reinforced by the publication of pictures of individual patients in the media. Our aim was to assess the effect of depicting a patient affected by a negative reimbursement decision on public disagreement with the decision.
METHODS: We conducted a discrete choice experiment in a representative sample of the public (n = 1008) in the Netherlands and assessed the likelihood of respondents\' disagreement with policymakers\' decision to not reimburse a new pharmaceutical for one of two patient groups. We presented a picture of one of the patients affected by the decision for one patient group and \"no picture available\" for the other group. The groups were described on the basis of patients\' age, health-related quality of life (HRQOL) and life expectancy (LE) before treatment, and HRQOL and LE gains from treatment. We applied random-intercept logit regression models to analyze the data.
RESULTS: Our results indicate that respondents were more likely to disagree with the negative reimbursement decision when a picture of an affected patient was presented. Consistent with findings from other empirical studies, respondents were also more likely to disagree with the decision when patients were relatively young, had high levels of HRQOL and LE before treatment, and large LE gains from treatment.
CONCLUSIONS: This study provides evidence for the effect of depicting individual, affected patients on public disagreement with negative reimbursement decisions in healthcare. Policymakers would do well to be aware of this effect so that they can anticipate it and implement policies to mitigate associated risks.