1
|
Bosque-Mercader L, Carrilero N, García-Altés A, López-Casasnovas G, Siciliani L. Socioeconomic inequalities in waiting times for planned and cancer surgery: Evidence from Spain. HEALTH ECONOMICS 2023; 32:1181-1201. [PMID: 36772982 DOI: 10.1002/hec.4661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 12/20/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Waiting times act as a non-price rationing mechanism to bring together the demand for and the supply of public healthcare services and ensure equal access independently of ability to pay. This study tests for the presence of socioeconomic inequalities in waiting times for ten publicly-funded planned and cancer surgeries in Catalonia (Spain) in 2015-2019. Socioeconomic status (SES), measured by four categories (very low, low, middle, high), is based on co-payment levels for medicines which depend on patient's income. Using administrative data, we estimate the association between SES and waiting times controlling for patient characteristics and hospital fixed effects. Compared to patients with low SES, patients with middle SES wait 2-6 fewer days for hip replacement, cataract surgery, and hysterectomy, and less than a day for breast cancer surgery. These inequalities arise within hospitals and are not explained by patient nor hospital characteristics. For some surgeries, the results also show that patients with higher SES are more likely to voluntarily exit the waiting list and have a lower probability of having a surgery canceled for medical reasons and dying while waiting.
Collapse
Affiliation(s)
- Laia Bosque-Mercader
- Nuffield Department of Primary Care Health Sciences, Centre for Health Service Economics and Organisation, University of Oxford, Oxford, UK
- Department of Economics and Related Studies, University of York, York, UK
| | - Neus Carrilero
- Agència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS), Barcelona, Spain
| | - Anna García-Altés
- Agència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS), Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain
| | | | - Luigi Siciliani
- Department of Economics and Related Studies, University of York, York, UK
| |
Collapse
|
2
|
García-Corchero JD, Jiménez-Rubio D. Waiting times in healthcare: equal treatment for equal need? Int J Equity Health 2022; 21:184. [PMID: 36539735 PMCID: PMC9763792 DOI: 10.1186/s12939-022-01799-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/27/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In many universal health systems, waiting times act as a non-monetary rationing mechanism, one that should be based on clinical need rather than the ability to pay. However, there is growing evidence that among patients with similar levels of need, waiting times often differ according to socioeconomic status. The mechanisms underlying inequality in access remain unclear. METHODS Using data for Spain, we study whether waiting times for primary and specialist care depend on patients' socioeconomic status (SES). Additionally, we make use of the continuous nature of our data to explore whether the SES-related differences in waiting times found for specialist consultations vary among different points of the waiting time distribution. RESULTS Our results reveal the presence of a SES gradient in waiting times for specialist services explained on the basis of education, employment status and income. In addition, for primary care, we found evidence of a slightly more moderate SES gradient mostly based on employment status. Furthermore, although quantile regression estimates indicated the presence of a SES gradient within the distribution of waiting times for specialist visits, the SES differences attenuated in the context of longer waiting times in the public sector but did not disappear. CONCLUSION Our findings suggest the principle of equal treatment for equal need, assumed to be inherent to national health systems such as the Spanish system, is not applied in practice. Determining the mechanism(s) underlying this selective barrier to healthcare is of crucial importance for policymakers, especially in the current COVID-19 health and economic crises, which could exacerbate these inequalities as increasing numbers of treatments are having to be postponed.
Collapse
Affiliation(s)
| | - Dolores Jiménez-Rubio
- grid.4489.10000000121678994Department of Applied Economics, University of Granada, Granada, Spain
| |
Collapse
|
3
|
Turner AJ, Francetic I, Watkinson R, Gillibrand S, Sutton M. Socioeconomic inequality in access to timely and appropriate care in emergency departments. JOURNAL OF HEALTH ECONOMICS 2022; 85:102668. [PMID: 35964420 DOI: 10.1016/j.jhealeco.2022.102668] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 07/25/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
In publicly-funded healthcare systems, waiting times for care should be based on need rather than ability to pay. Studies have shown that individuals with lower socioeconomic status face longer waits for planned inpatient care, but there is little evidence on inequalities in waiting times for emergency care. We study waiting times in emergency departments (EDs) following arrival by ambulance, where health consequences of extended waits may be severe. Using data from all major EDs in England during the 2016/17 financial year, we find patients from more deprived areas face longer waits during some parts of the ED care pathway. Inequalities in waits are small, but more deprived individuals also receive less complex ED care, are less likely to be admitted for inpatient care, and are more likely to re-attend ED or die shortly after attendance. Patient-physician interactions and unconscious bias towards more deprived patients may be important sources of inequalities.
Collapse
Affiliation(s)
- Alex J Turner
- Health Organisation, Policy and Economics (HOPE) group, Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, United Kingdom, M13 9PL; PHMR Ltd, London, NW1 8XY, England.
| | - Igor Francetic
- Health Organisation, Policy and Economics (HOPE) group, Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, United Kingdom, M13 9PL
| | - Ruth Watkinson
- Health Organisation, Policy and Economics (HOPE) group, Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, United Kingdom, M13 9PL
| | - Stephanie Gillibrand
- Health Organisation, Policy and Economics (HOPE) group, Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, United Kingdom, M13 9PL
| | - Matt Sutton
- Health Organisation, Policy and Economics (HOPE) group, Centre for Primary Care & Health Services Research, The University of Manchester, Manchester, United Kingdom, M13 9PL
| |
Collapse
|
4
|
Simonsen NF, Oxholm AS, Kristensen SR, Siciliani L. What explains differences in waiting times for health care across socioeconomic status? HEALTH ECONOMICS 2020; 29:1764-1785. [PMID: 32996212 DOI: 10.1002/hec.4163] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 07/02/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
In publicly funded health systems, waiting times act as a rationing mechanism that should be based on need rather than socioeconomic status. However, several studies suggest that individuals with higher socioeconomic status wait less. Using individual-level data from administrative registers, we estimate and explain socioeconomic inequalities in access to publicly funded care for seven planned hospital procedures in Denmark. For each procedure, we first estimate the association between patients' waiting time for health care and their socioeconomic status as measured by income and education, controlling for patient severity. Then, we investigate how much of the association remains after controlling for (i) other individual characteristics (patients' family status, labor market status, and country of origin) that may be correlated with income and education, (ii) possible selection due to patients' use of a waiting time guarantee, and (iii) hospital factors which allow us to disentangle whether inequalities in waiting times arise across hospitals or within the hospital. Only for a few procedures, we find inequalities in waiting times related to income and education. These inequalities can be explained mostly by geographical and institutional factors across hospitals. But we also find inequalities for some procedures in relation to non-Western immigrants within hospitals.
Collapse
Affiliation(s)
- Nicolai Fink Simonsen
- Department of Public Health, Danish Centre for Health Economics, University of Southern Denmark, Odense, Denmark
| | - Anne Sophie Oxholm
- Department of Public Health, Danish Centre for Health Economics, University of Southern Denmark, Odense, Denmark
| | - Søren Rud Kristensen
- Department of Public Health, Danish Centre for Health Economics, University of Southern Denmark, Odense, Denmark
- Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Luigi Siciliani
- Department of Economics and Related Studies, University of York, York, UK
| |
Collapse
|
5
|
Martin S, Siciliani L, Smith P. Socioeconomic inequalities in waiting times for primary care across ten OECD countries. Soc Sci Med 2020; 263:113230. [PMID: 32823046 DOI: 10.1016/j.socscimed.2020.113230] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 06/09/2020] [Accepted: 07/17/2020] [Indexed: 10/23/2022]
Abstract
Waiting times for health care are a major policy concern across OECD countries. Waiting times are generally tolerated in publicly-funded health systems and perceived as equitable if access to care is not based on socioeconomic status. Although a growing literature has documented that socioeconomic status is negatively associated with waiting times for secondary care in several countries, less is known about waiting time inequalities in primary care, which is the focus of this study. We exploit the Commonwealth Fund's International Health Policy Survey of Adults in 2010, 2013 and 2016 and include ten OECD countries (Australia, Canada, France, Germany, Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United Kingdom). Waiting time for primary care is measured by the time reported to get an appointment to see a doctor or a nurse. We employ interval regression models to investigate for each country whether socioeconomic status (household income and education) are associated with the waiting time for a primary care appointment. We control for age, gender, chronic conditions, and whether the individual holds private health insurance. We find a negative association between household income and waiting times in Canada, Germany, Norway and Sweden.
Collapse
Affiliation(s)
- Steve Martin
- Department of Economics and Related Studies, University of York, York, UK
| | - Luigi Siciliani
- Department of Economics and Related Studies, University of York, York, UK.
| | | |
Collapse
|
6
|
McIntyre D, Chow CK. Waiting Time as an Indicator for Health Services Under Strain: A Narrative Review. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2020; 57:46958020910305. [PMID: 32349581 PMCID: PMC7235968 DOI: 10.1177/0046958020910305] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 12/08/2019] [Accepted: 01/13/2020] [Indexed: 11/18/2022]
Abstract
As pressure increases on public health systems globally, a potential consequence is that this is transferred to patients in the form of longer waiting times to receive care. In this review, we overview what waiting for health care encompasses, its measurement, and the data available in terms of trends and comparability. We also discuss whether waiting time is equally distributed according to socioeconomic status. Finally, we discuss the policy implications and potential approaches to addressing the burden of waiting time. Waiting time for elective surgery and emergency department care is the best described type of waiting time, and it either increases or remains unchanged across multiple developed countries. There are many challenges in drawing direct comparisons internationally, as definitions for these types of waiting times vary. There are less data on waiting time from other settings, but existing data suggest waiting time presents a significant barrier to health care access for a range of health services. There is also evidence that waiting time is unequally distributed to those of lower socioeconomic status, although this may be improving in some countries. Further work to better clarify definitions, identify driving factors, and understand hidden waiting times and identify opportunities for reducing waiting time or better using waiting time could improve health outcomes of our health services.
Collapse
Affiliation(s)
| | - Clara K. Chow
- The University of Sydney, Westmead, NSW,
Australia
- Westmead Hospital, Westmead, NSW,
Australia
| |
Collapse
|
7
|
Eyal N, Romain PL, Robertson C. Can Rationing through Inconvenience Be Ethical? Hastings Cent Rep 2018; 48:10-22. [DOI: 10.1002/hast.806] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
|
8
|
Landi S, Ivaldi E, Testi A. Socioeconomic status and waiting times for health services: An international literature review and evidence from the Italian National Health System. Health Policy 2018; 122:334-351. [PMID: 29373188 DOI: 10.1016/j.healthpol.2018.01.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 12/01/2017] [Accepted: 01/04/2018] [Indexed: 10/18/2022]
Abstract
In the absence of priority criteria, waiting times are an implicit rationing instrument where the absence or limited use of prices creates an excess of demand. Even in the presence of priority criteria, waiting times may be unfair because they reduce health care demand of patients in lower socio-economic conditions due to high opportunity costs of time or a decay in their health level. Significant evidence has shown a relationship between socioeconomic status and the length of waiting time. The first phase of the study involved an extensive review of the existent literature for the period of 2002-2016 in the main databases (Scopus, PubMed and Science Direct). Twenty-eight met the eligibility criteria. The 27 papers were described and classified. The e mpirical objective of this study was to determine whether socioeconomic characteristics affect waiting time for different health services in the Italian national health system. The services studied were specialist visits, diagnostics tests and elective surgeries. A classification tree and logistic regression models were implemented. Data from the 2013 Italian Health National Survey were used. The analysis found heterogeneous results for different types of service. Individuals with lower education and economic resources have a higher risk of experiencing excessive waiting times for diagnostic and specialist visits. For elective surgery, socioeconomic inequalities are present but appear to be lower.
Collapse
Affiliation(s)
- Stefano Landi
- Department of Economics and Business Studies, University of Genoa, Genoa, Italy; Department of Political Science, University of Genoa, Genoa, Italy; Department of Management, University "Ca' Foscari" Venice, Venice, Italy.
| | - Enrico Ivaldi
- Department of Political Science, University of Genoa, Genoa, Italy
| | - Angela Testi
- Department of Economics and Business Studies, University of Genoa, Genoa, Italy
| |
Collapse
|
9
|
Siciliani L. Inequalities in waiting times by socioeconomic status. Isr J Health Policy Res 2014; 3:38. [PMID: 25489481 PMCID: PMC4258956 DOI: 10.1186/2045-4015-3-38] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 11/03/2014] [Indexed: 11/10/2022] Open
Abstract
Waiting times for elective care are a major health policy issue in many developed countries. Recent empirical studies suggest that inequalities in waiting times by socioeconomic status are present within publicly-funded systems in several countries. In this short commentary I discuss alternative approaches regarding data, methods and interpretation of results. Further work in this research area is needed.
Collapse
Affiliation(s)
- Luigi Siciliani
- Department of Economics and Related Studies, University of York, New York, NY USA
| |
Collapse
|