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Rahban A, Ghahramani A, Yusefzadeh H, Harirchi I, Alinia C. Price transparency in Iranian healthcare market. HEALTH POLICY OPEN 2024; 6:100120. [PMID: 38706778 PMCID: PMC11070242 DOI: 10.1016/j.hpopen.2024.100120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 12/24/2023] [Accepted: 04/25/2024] [Indexed: 05/07/2024] Open
Abstract
Insufficient price transparency has emerged as a pivotal contributor to patient dissatisfaction, escalating costs, and diminished productivity within Iran's health system. This study aims to delineate and elucidate a definition of price transparency, identify suitable strategies, and present the outcomes associated with establishing a health system that embraces transparent pricing while also addressing the challenges ahead. Employing a quantitative-qualitative research design, data were extracted from a semi-structured interviews with stakeholders. A purposive sampling method, encompassing sequential and snowball techniques, was employed to capture the perspectives of all stakeholders involved in the issue of price transparency in Iran. The interview data were analyzed using the grounded theory approach was classified into three categories: price transparency before, during, and after the receipt of healthcare services. Our findings reveal the causes of low price transparency, strategies to address the issue, and the consequences associated with increased levels of transparency. Ultimately, we contend that health systems can significantly enhance efficiency, patient satisfaction, and the performance of health insurance by adopting transparent pricing for health services, thus obviating the need for resource-intensive restructuring efforts.
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Affiliation(s)
- Ameneh Rahban
- Department of Health Management and Economics, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran
| | - Abolfazl Ghahramani
- Department of Occupational Health and Safety at Work Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran
| | - Hasan Yusefzadeh
- Department of Health Management and Economics, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran
| | - Iraj Harirchi
- Department of Cardiology, School of Medicine, Prevention of Cardiovascular Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Cyrus Alinia
- Department of Health Management and Economics, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran
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Moon T, Bloom J, Youssef G, Gaffney K, Wareham C, Ganeshbabu N, Pawlak N, Hall J, Nardello S, Chatterjee A. Variable Accessibility to Consumer Pricing Among Breast Cancer Operations. Ann Surg Oncol 2023; 30:4631-4635. [PMID: 37067741 DOI: 10.1245/s10434-023-13520-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 03/20/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND The Centers for Medicare & Medicaid Services (CMS) mandate that every US hospital provide public online pricing information for services rendered. This allows patients to compare prices across hospital systems before establishing care. The goal of this project was to evaluate hospital compliance and patient-level accessibility to price transparency for common breast cancer surgical procedures. METHODS A sample case of a 62-year-old female with a T2N0 breast cancer was chosen. The patient would have the option of undergoing a partial mastectomy or mastectomy, both with sentinel lymph node biopsy (SLNB). Eight Massachusetts academic medical centers were evaluated. Searches were performed by authors for each hospital system and procedure using the sample case. RESULTS Every hospital had a cost calculator on its website. The average success rate of establishing a cost for partial mastectomy, mastectomy, and SLNB was 58, 35, and 25%, respectively. The median time to reach the cost calculator tool was 32 s (range 25-37 s). In successful attempts, the median pre-insurance estimated cost of a partial mastectomy was $16,509 (range $11,776-22,169), compared with $24,541 (range $16,921-25,543) for mastectomy and $12,342 (range $4034-20,644) for SLNB. SLNB costs varied significantly across hospitals (p = 0.025), but no statistically significant difference was observed for partial mastectomy or mastectomy. CONCLUSION Despite new regulatory requirements by CMS for increased price transparency for surgical procedures, our results demonstrate poor success rates in obtaining cost estimates and significant variability of reported hospital charges. Further efforts to improve the quality of hospital cost estimate calculators are necessary for informed decision-making for patients with breast cancer.
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Affiliation(s)
- Tina Moon
- Department of Surgery, Tufts Medical Center, Boston, MA, USA.
| | - Joshua Bloom
- Department of Surgery, Tufts Medical Center, Boston, MA, USA
| | | | - Kerry Gaffney
- Department of Surgery, Tufts Medical Center, Boston, MA, USA
| | - Carly Wareham
- Department of Surgery, Tufts Medical Center, Boston, MA, USA
| | | | | | - Jason Hall
- Division of Colon and Rectal Surgery, Department of Surgery, Tufts Medical Center, Boston, MA, USA
| | | | - Abhishek Chatterjee
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Tufts Medical Center, Boston, MA, USA
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Tseng CC, Gao J, Talmor G, Paskhover B. Characterizing Patient Questions Before and After Rhinoplasty on Social Media: A Big Data Approach. Aesthetic Plast Surg 2021; 45:1685-1692. [PMID: 33723644 DOI: 10.1007/s00266-021-02203-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/21/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND As an aesthetic surgery, a successful rhinoplasty is often assessed by patient satisfaction, subject to a diverse array of qualitative factors including patient expectations and happiness with care provided. While substantial effort has been dedicated to understanding patients' post-operative concerns, addressing patients' pre-operative questions has been comparatively less studied. This study analysed pre- and post-operative questions about rhinoplasty on social media to gain insights into patients' concerns and develop targeted educational material. METHODS The most viewed rhinoplasty questions on Realself.com, a social media platform for discussions about cosmetic surgeries, were collected and analysed. Questions were then stratified into pre- and post-operative and further assigned categories based on common topics found in the data. Using a machine learning approach, the most common pre- and post-operative questions were determined. RESULTS 2014 rhinoplasty questions were collected in total, with 957 pre-operative and 1057 post-operative. The most commonly asked pre-operative questions were about appearance (n = 441, 46.1%), function (n = 102, 10.7%), and cost (n = 94, 9.8%). The most commonly asked post-operative questions were about appearance (n = 502, 47.5%), behaviour allowed/disallowed (n = 283, 26.8%), and symptoms after surgery (n = 235, 22.2%). An educational handout with the 10 most common pre- and post-operative questions was developed using machine learning analysis, with the majority of questions about appearance. CONCLUSIONS Patients primarily expressed concern about appearance when asking questions about rhinoplasty on social media, along with other aspects of their pre- and post-operative course. The educational handout developed by this study can be applied to address commonly asked patient questions during pre-operative education. LEVEL OF EVIDENCE V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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Affiliation(s)
- Christopher C Tseng
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, 90 Bergen Street, Suite 8100, Newark, NJ, 07103, USA
| | - Jeff Gao
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, 90 Bergen Street, Suite 8100, Newark, NJ, 07103, USA
| | - Guy Talmor
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, 90 Bergen Street, Suite 8100, Newark, NJ, 07103, USA
| | - Boris Paskhover
- Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, 90 Bergen Street, Suite 8100, Newark, NJ, 07103, USA.
- Center for Skull Base and Pituitary Surgery, Neurological Institute of New Jersey, Rutgers New Jersey Medical School, Newark, NJ, USA.
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Hill CE, Reynolds EL, Burke JF, Banerjee M, Kerber KA, Magliocco B, Esper GJ, Skolarus LE, Callaghan BC. Increasing Out-of-Pocket Costs for Neurologic Care for Privately Insured Patients. Neurology 2020; 96:e322-e332. [PMID: 33361253 DOI: 10.1212/wnl.0000000000011278] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 08/25/2020] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE To measure the out-of-pocket (OOP) costs of evaluation and management (E/M) services and common diagnostic testing for neurology patients. METHODS Using a large, privately insured health care claims database, we identified patients with a neurologic visit or diagnostic test from 2001 to 2016 and assessed inflation-adjusted OOP costs for E/M visits, neuroimaging, and neurophysiologic testing. For each diagnostic service each year, we estimated the proportion of patients with OOP costs, the mean OOP cost, and the proportion of the total service cost paid OOP. We modeled OOP cost as a function of patient and insurance factors. RESULTS We identified 3,724,342 patients. The most frequent neurologic services were E/M visits (78.5%), EMG/nerve conduction studies (NCS) (7.7%), MRIs (5.3%), and EEGs (4.5%). Annually, 86.5%-95.2% of patients paid OOP costs for E/M visits and 23.1%-69.5% for diagnostic tests. For patients paying any OOP cost, the mean OOP cost increased over time, most substantially for EEG, MRI, and E/M. OOP costs varied considerably; for an MRI in 2016, the 50th percentile paid $103.10 and the 95th percentile paid $875.40. The proportion of total service cost paid OOP increased. High deductible health plan (HDHP) enrollment was associated with higher OOP costs for MRI, EMG/NCS, and EEG. CONCLUSION An increasing number of patients pay OOP for neurologic diagnostic services. These costs are rising and vary greatly across patients and tests. The cost sharing burden is particularly high for the growing population with HDHPs. In this setting, neurologic evaluation might result in financial hardship for patients.
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Affiliation(s)
- Chloe E Hill
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA.
| | - Evan L Reynolds
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - James F Burke
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Mousumi Banerjee
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Kevin A Kerber
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Brandon Magliocco
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Gregory J Esper
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Lesli E Skolarus
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
| | - Brian C Callaghan
- From the Health Services Research Program, Department of Neurology (C.E.H., E.L.R., J.F.B., K.A.K., L.E.S., B.C.C.), and School of Public Health (M.B.), University of Michigan; Veterans Affairs Healthcare System (J.F.B., B.C.C.), Ann Arbor, MI; American Academy of Neurology (B.M.), Minneapolis, MN; and Department of Neurology (G.J.E.), Emory University, Atlanta, GA
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