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      No Evidence on Association Between Prospective Exposure to Out-of-Pocket Cost Information and Appointment Cancelations or No-Shows: A Case-Control Pilot Study

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          Abstract

          Health care price transparency aims to empower patients to make better-informed purchasing decisions. However, the prospective availability of patients’ out-of-pocket costs may lead to an increased rate of forgone care. The objective of this study was to examine whether obtaining a prospective out-of-pocket cost estimate is associated with the likelihood of canceling or not arriving at a scheduled outpatient health care appointment. We surveyed adult individuals with scheduled outpatient imaging appointments at a large health care system in Georgia. In this case-control pilot study, we estimated the adjusted association between obtaining an out-of-pocket cost estimate for a scheduled imaging appointment (did not obtain an estimate, did not seek an estimate but received it via an unsolicited phone call from the health care system, and actively sought and obtained an estimate) and not attending the appointment using multivariable logistic regression that controlled for the type of primary health insurance and patient demographics. Actively seeking an out-of-pocket cost estimate was not associated with appointment cancelation or no-show (adjusted odds ratio [aOR] = 0.81, P = .75). Passively receiving an out-of-pocket cost estimate via an unsolicited phone call from the health care system was marginally associated with lower odds of appointment cancelation or no-show (aOR = 0.24; P = .076). This study did not find evidence of an association between prospective exposure of patients to out-of-pocket cost information and the likelihood of health care appointment cancelation or no-show.

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          Most cited references23

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          Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

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            A Review of Hot Deck Imputation for Survey Non-response.

            Hot deck imputation is a method for handling missing data in which each missing value is replaced with an observed response from a "similar" unit. Despite being used extensively in practice, the theory is not as well developed as that of other imputation methods. We have found that no consensus exists as to the best way to apply the hot deck and obtain inferences from the completed data set. Here we review different forms of the hot deck and existing research on its statistical properties. We describe applications of the hot deck currently in use, including the U.S. Census Bureau's hot deck for the Current Population Survey (CPS). We also provide an extended example of variations of the hot deck applied to the third National Health and Nutrition Examination Survey (NHANES III). Some potential areas for future research are highlighted.
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              Forgoing medical care because of cost: assessing disparities in healthcare access among cancer survivors living in the United States.

              Many US cancer survivors live years after diagnosis, which emphasizes the importance of healthcare access for survivors. It is not known whether having cancer has an impact on disparities in healthcare access that are present in the general population. The objective of this study was to examine the prevalence of forgoing care because of financial concerns in a representative sample of US adults to determine whether cancer history and race/ethnicity are associated with the likelihood of forgoing medical care. Data from the US National Health Interview Survey (NHIS) from 2003 to 2006 were used to identify 6602 adult cancer survivors and 104,364 individuals who had no history of cancer. Self-reports of forgoing medical care services because of cost were analyzed according to cancer history and race/ethnicity using multivariate logistic regression. The prevalence of forgoing care because of cost among cancer survivors was 7.8% for medical care, 9.9% for prescription medications, 11.3% for dental care, and 2.7% for mental healthcare. Cancer survivors aged<65 years were more likely to delay or forego all types of medical care compared with adults who did not have a history of cancer. Hispanic and black cancer survivors were more likely to forego prescription medications and dental care than white survivors. Disparities among cancer survivors largely were reflective of those in the general adult population. More than 2 million US cancer survivors did not get 1 or more needed medical services because of financial concerns during the studied period. Future research needs to examine the impact of forgoing care on survivors' quality of life and survival.
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                Author and article information

                Journal
                Inquiry
                Inquiry
                INQ
                spinq
                Inquiry: A Journal of Medical Care Organization, Provision and Financing
                SAGE Publications (Sage CA: Los Angeles, CA )
                0046-9580
                1945-7243
                14 February 2025
                Jan-Dec 2025
                : 62
                : 00469580251320174
                Affiliations
                [1 ]Emory University, Atlanta, GA, USA
                [2 ]University of California, Irvine, CA, USA
                [3 ]University of Michigan, Ann Arbor, MI, USA
                [4 ]University of Massachusetts Amherst, Amherst, MA, USA
                Author notes
                [*]Michal Horný, Department of Health Promotion and Policy, School of Public Health and Heatlh Sciences, University of Massachusetts Amherst, 715 N Pleasant St, Arnold House, Room 307, Amherst, MA 01003, USA. Email: mhorny@ 123456umass.edu
                Author information
                https://orcid.org/0000-0003-3233-1878
                https://orcid.org/0000-0003-3624-6398
                Article
                10.1177_00469580251320174
                10.1177/00469580251320174
                11826873
                39950202
                12886509-6762-41ff-875b-590e30ff2eef
                © The Author(s) 2025

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 17 October 2024
                : 20 December 2024
                : 22 January 2025
                Categories
                Original Research Article
                Custom metadata
                January-December 2025
                ts1

                health policy,price transparency,imaging,health care utilization,patient cost-sharing

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