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Jolliffe L, Christie LJ, Fearn N, Nohrenberg M, Liu R, Williams JF, Parsons MW, Pearce AM. A systematic review of discrete choice experiments in stroke rehabilitation. Top Stroke Rehabil 2024; 31:632-643. [PMID: 38372124 DOI: 10.1080/10749357.2024.2312641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 01/27/2024] [Indexed: 02/20/2024]
Abstract
OBJECTIVES Existing research qualitatively explores consumer preferences for stroke rehabilitation interventions. However, it remains unclear which intervention characteristics are most important to consumers, and how these preferences may influence uptake and participation. Discrete choice experiments (DCE) provide a unique way to quantitatively measure preferences for health and health care. This study aims to explore how DCEs have been used in stroke rehabilitation and to identify reported consumer preferences for rehabilitation interventions. MATERIAL AND METHODS A systematic review of published stroke rehabilitation DCEs was completed (PROSPERO registration: CRD42021282578). Six databases (including CINAHL, MEDLINE, EconLIT) were searched from January 2000-March 2023. Data extracted included topic area, sample size, aim, attributes, design process, and preference outcomes. Descriptive and thematic analyses were conducted, and two methodological checklists applied to review quality. RESULTS Of 2,446 studies screened, five were eligible. Studies focused on exercise preference (n = 3), the structure and delivery of community services (n = 1), and self-management programs (n = 1). All had small sample sizes (range 50-146) and were of moderate quality (average score of 77%). Results indicated people have strong preferences for one-to-one therapy (over group-based), light-moderate intensity of exercise, and delivery by qualified therapists (over volunteers). CONCLUSIONS Few DCEs have been conducted in stroke rehabilitation, suggesting consumer preferences could be more rigorously explored. Included studies were narrow in the scope of attributes included, limiting their application to practice and policy. Further research is needed to assess the impact of differing service delivery models on uptake and participation.
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Affiliation(s)
- Laura Jolliffe
- Department of Occupational Therapy, Peninsula Health, Melbourne, Australia
- Department of Occupational Therapy, Monash University, Melbourne, Australia
- National Centre for Healthy Ageing (NCHA), Melbourne, Australia
| | - Lauren J Christie
- Allied Health Research Unit, St Vincent's Health Network Sydney, Darlinghurst, Australia
- Nursing Research Institute, Australian Catholic University, Sydney, Australia
| | - Nicola Fearn
- Allied Health Research Unit, St Vincent's Health Network Sydney, Darlinghurst, Australia
| | - Michael Nohrenberg
- School of Public Health, The University of Sydney, Camperdown, Australia
| | - Rasia Liu
- School of Public Health, The University of Sydney, Camperdown, Australia
| | - Julie F Williams
- Walter McGrath Library, St Vincent's Hospital Sydney, Darlinghurst, Australia
| | - Mark W Parsons
- Department of Neurology, Liverpool Hospital, South Western Sydney Local Health District, Liverpool, Australia
- School of Medicine and Health, UNSW, Sydney, Australia
- Sydney Brain Centre, Ingham Institute of Applied Medical Research, Liverpool, Australia
| | - Alison M Pearce
- School of Public Health, The University of Sydney, Camperdown, Australia
- The Daffodil Centre, a joint venture between Cancer Council NSW and the University of Sydney, The University of Sydney, Sydney, Australia
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Lunova T, Hurndall KH, Crespo R, Howitt P, Leis M, Grailey K, Darzi A, Neves AL. Impact of the cost-of-living crisis on patient preferences towards virtual consultations. J Telemed Telecare 2024:1357633X241255411. [PMID: 38767152 DOI: 10.1177/1357633x241255411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
INTRODUCTION Since 2021, the world has been facing a cost-of-living crisis which has negatively affected population health. Meanwhile, little is known about its impact on patients' preferences to access care. We aimed to analyse public preference for the modality of consultation (virtual vs face-to-face) before and after the onset of crisis and factors associated with these preferences. METHODS An online cross-sectional survey was administered to the public in the United Kingdom, Germany, Italy and Sweden. McNemar tests were conducted to analyse pre- and post-crisis differences in preferences; logistic regression was used to examine the demographic factors associated with public preferences. RESULTS Since the onset of crisis, the number of people choosing virtual consultations has increased in the United Kingdom (7.0% vs 9.5% P < 0.001), Germany (6.6% vs 8.6%, P < 0.008) and Italy (6.0% vs 9.8%, P < 0.001). Before the crisis, a stronger preference for virtual consultations was observed in people from urban areas (OR 1.28, 95% CI 1.05-1.56), while increasing age was associated with a lower preference for virtual care (OR 0.966, 95% CI 0.961-0.972). Younger people were more likely to switch to virtual care, while change to face-to-face was associated with younger age and lower income (OR 1.34, 95% CI 1.12-1.62). Older adults were less likely to change preference. CONCLUSIONS Since the onset of the cost-of-living crisis, public preference for virtual consultations has increased, particularly in younger population. This contrasts with older adults and people with lower-than-average incomes. The rationale behind patients' preferences should be investigated to ensure patients can access their preferred modality of care.
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Affiliation(s)
- Tetiana Lunova
- NIHR North West London Patient Safety Research Collaboration (PSRC), Institute of Global Health Innovation, Imperial College London, London, UK
- NIHR Applied Research Collaboration (ARC) NWL, Imperial College London, London, UK
| | - Katherine-Helen Hurndall
- NIHR North West London Patient Safety Research Collaboration (PSRC), Institute of Global Health Innovation, Imperial College London, London, UK
- NIHR Applied Research Collaboration (ARC) NWL, Imperial College London, London, UK
| | - Roberto Crespo
- Center for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
| | - Peter Howitt
- Center for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
| | - Melanie Leis
- Center for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
| | - Kate Grailey
- Center for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
| | - Ara Darzi
- NIHR North West London Patient Safety Research Collaboration (PSRC), Institute of Global Health Innovation, Imperial College London, London, UK
- NIHR Applied Research Collaboration (ARC) NWL, Imperial College London, London, UK
- Center for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK
| | - Ana Luisa Neves
- NIHR North West London Patient Safety Research Collaboration (PSRC), Institute of Global Health Innovation, Imperial College London, London, UK
- NIHR Applied Research Collaboration (ARC) NWL, Imperial College London, London, UK
- Department of Primary Care and Public Health, Imperial College London, London, UK
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Kerr G, Greenfield G, Hayhoe B, Gaughran F, Halvorsrud K, Pinto da Costa M, Rehill N, Raine R, Majeed A, Costelloe C, Neves AL, Beaney T. Attendance at remote versus in-person outpatient appointments in an NHS Trust. J Telemed Telecare 2023:1357633X231216501. [PMID: 38128925 DOI: 10.1177/1357633x231216501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
INTRODUCTION With the growing use of remote appointments within the National Health Service, there is a need to understand potential barriers of access to care for some patients. In this observational study, we examined missed appointments rates, comparing remote and in-person appointments among different patient groups. METHODS We analysed adult outpatient appointments at Imperial College Healthcare NHS Trust in Northwest London in 2021. Rates of missed appointments per patient were compared between remote versus in-person appointments using negative binomial regression models. Models were stratified by appointment type (first or a follow-up). RESULTS There were 874,659 outpatient appointments for 189,882 patients, 29.5% of whom missed at least one appointment. Missed rates were 12.5% for remote first appointments and 9.2% for in-person first appointments. Remote and in-person follow-up appointments were missed at similar rates (10.4% and 10.7%, respectively). For remote and in-person appointments, younger patients, residents of more deprived areas, and patients of Black, Mixed and 'other' ethnicities missed more appointments. Male patients missed more in-person appointments, particularly at younger ages, but gender differences were minimal for remote appointments. Patients with long-term conditions (LTCs) missed more first appointments, whether in-person or remote. In follow-up appointments, patients with LTCs missed more in-person appointments but fewer remote appointments. DISCUSSION Remote first appointments were missed more often than in-person first appointments, follow-up appointments had similar attendance rates for both modalities. Sociodemographic differences in outpatient appointment attendance were largely similar between in-person and remote appointments, indicating no widening of inequalities in attendance due to appointment modality.
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Affiliation(s)
- Gabriele Kerr
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Geva Greenfield
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Benedict Hayhoe
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Fiona Gaughran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | - Mariana Pinto da Costa
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- NIHR Applied Research Collaboration South London, London, UK
| | | | - Rosalind Raine
- NIHR Applied Research Collaboration North Thames, London, UK
- Department of Applied Health Research, University College London (UCL), London, UK
| | - Azeem Majeed
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Ceire Costelloe
- Department of Primary Care and Public Health, Imperial College London, London, UK
- Institute of Cancer Research, Sutton, UK
| | - Ana Luisa Neves
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
| | - Thomas Beaney
- Department of Primary Care and Public Health, Imperial College London, London, UK
- NIHR Applied Research Collaboration Northwest London, London, UK
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Wang P, Huang Y, Li H, Xi X. Public preferences for online medical consultations in China: a discrete choice experiment. Front Public Health 2023; 11:1282387. [PMID: 38192546 PMCID: PMC10773767 DOI: 10.3389/fpubh.2023.1282387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/27/2023] [Indexed: 01/10/2024] Open
Abstract
Background Online medical consultation (OMC) is significant to promote the utilization and accessibility of healthcare resources and save time on consultation. However, the usage and public acceptance rates of it are still low in China. Meanwhile, few studies have focused on consumers' demand of OMC services. This study aims to identify attributes that influence users' preference for OMC services, quantify the value of these characteristics, and compare their relative importance. Methods A nationwide discrete choice experiment was conducted to survey Chinese residents' preference choices for six attributes of OMC services. Conditional logit model and mixed logit model were used to analyze respondents' preference. Willingness to pay and heterogeneity were estimated by the mixed logit model. Results A total of 856 respondents completed the study, and 668 questionnaires passed the consistency test. All of 6 attributes in the study were statistically significant except for "Doctor's professional title - Associate Senior." When choosing OMC services, respondents preferred to spend as little time and money as possible on a large online medical platform to consult a high-rated physician with a senior title from a well-known Grade-A tertiary hospital. Besides, respondents valued doctor's evaluation score most and were willing to pay ¥107 to obtain the services of higher-scored doctors. Conclusion The study measured Chinese residents' preferences for six attributes of OMC and showed the heterogeneity of attributes among subgroups. Our findings suggested that OMC services providers should reduce the customers' waiting time, improve the quality of services and enhance professional skills to meet the customers' requirements. More research on preferences for OMC needs to be conducted in China, especially for key populations such as patients with chronic diseases.
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Affiliation(s)
| | | | | | - Xiaoyu Xi
- The Research Center of National Drug Policy and Ecosystem, China Pharmaceutical University, Nanjing, China
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Angelo M, Port J. Future Trends to Watch for Value-Based Care. Popul Health Manag 2023; 26:203-204. [PMID: 37590063 DOI: 10.1089/pop.2023.0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023] Open
Affiliation(s)
- Mark Angelo
- Delaware Valley ACO, Radnor, Pennsylvania, USA
| | - Joel Port
- Delaware Valley ACO, Radnor, Pennsylvania, USA
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Wu M, Li Y, Ma C. Patients' choice preferences for specialist outpatient online consultations: A discrete choice experiment. Front Public Health 2023; 10:1075146. [PMID: 36684861 PMCID: PMC9850164 DOI: 10.3389/fpubh.2022.1075146] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/13/2022] [Indexed: 01/07/2023] Open
Abstract
Background Internet hospitals are multiplying with solid support from the Chinese government. In internet hospitals, specialist outpatient online consultations (SOOC) are the primary services. However, the acceptance and utilization rates of this service are still low. Thus, the study of patients' choice preferences for SOOC is needed. Objective To analyze the choice preference of patients' SOOC via a discrete choice experiment, understand the influence of each factor and promote the development of internet hospitals. Methods Via a discrete selection experiment, a total of 162 patients from two general hospitals and three specialized hospitals in Beijing were selected for the questionnaire survey. The choice preferences were analyzed by conditional logit regression. Results From high to low, patients' willingness to pay (WTP) for the attributes of SOOC is as follows: doctors' recommendation rate (β highly recommend = 0.999), the convenience of applying SOOC services (β Convenient = 0.760), the increasing ratio of medical insurance payment for online services compared to offline (β Increase by 10% = 0.545), and the disease's severity (β severe = -3.024). The results of the subgroup analysis showed differences in patient choice preference by age, whether the patients had chronic diseases, income, and medical insurance types. Conclusion Both price and nonprice attributes influence the choice preference of SOOC for patients. Among them, patients are more inclined to choose SOOC when doctors highly recommend it, when it is convenient to apply, when medical insurance increases by 10%, and when disease severity is mild. The current findings show the government and medical institutions formulate auxiliary policies and welfare strategies by clarifying core attributes and adjusting the levels of different attributes to improve patients' acceptance of SOOC. The utility of SOOC and the further development of internet hospitals are radically promoted.
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Affiliation(s)
- Mengqiu Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yuhan Li
- School of Public Health, Capital Medical University, Beijing, China
| | - Chengyu Ma
- School of Public Health, Capital Medical University, Beijing, China
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Xie Z, Chen J, Or CK. Consumers’ Willingness to Pay for eHealth and Its Influencing Factors: Systematic Review and Meta-analysis. J Med Internet Res 2022; 24:e25959. [PMID: 36103227 PMCID: PMC9520394 DOI: 10.2196/25959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 06/15/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background Despite the great potential of eHealth, substantial costs are involved in its implementation, and it is essential to know whether these costs can be justified by its benefits. Such needs have led to an increased interest in measuring the benefits of eHealth, especially using the willingness to pay (WTP) metric as an accurate proxy for consumers’ perceived benefits of eHealth. This offered us an opportunity to systematically review and synthesize evidence from the literature to better understand WTP for eHealth and its influencing factors. Objective This study aimed to provide a systematic review of WTP for eHealth and its influencing factors. Methods This study was performed and reported as per the Cochrane Collaboration and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, CINAHL Plus, Cochrane Library, EconLit, and PsycINFO databases were searched from their inception to April 19, 2022. We conducted random-effects meta-analyses to calculate WTP values for eHealth (at 2021 US dollar rates) and meta-regression analyses to examine the factors affecting WTP. Results A total of 30 articles representing 35 studies were included in the review. We found that WTP for eHealth varied across studies; when expressed as a 1-time payment, it ranged from US $0.88 to US $191.84, and when expressed as a monthly payment, it ranged from US $5.25 to US $45.64. Meta-regression analyses showed that WTP for eHealth was negatively associated with the percentages of women (β=−.76; P<.001) and positively associated with the percentages of college-educated respondents (β=.63; P<.001) and a country’s gross domestic product per capita (multiples of US $1000; β=.03; P<.001). Compared with eHealth provided through websites, people reported a lower WTP for eHealth provided through asynchronous communication (β=−1.43; P<.001) and a higher WTP for eHealth provided through medical devices (β=.66; P<.001), health apps (β=.25; P=.01), and synchronous communication (β=.58; P<.001). As for the methods used to measure WTP, single-bounded dichotomous choice (β=2.13; P<.001), double-bounded dichotomous choice (β=2.20; P<.001), and payment scale (β=1.11; P<.001) were shown to obtain higher WTP values than the open-ended format. Compared with ex ante evaluations, ex post evaluations were shown to obtain lower WTP values (β=−.37; P<.001). Conclusions WTP for eHealth varied significantly depending on the study population, modality used to provide eHealth, and methods used to measure it. WTP for eHealth was lower among certain population segments, suggesting that these segments may be at a disadvantage in terms of accessing and benefiting from eHealth. We also identified the modalities of eHealth that were highly valued by consumers and offered suggestions for the design of eHealth interventions. In addition, we found that different methods of measuring WTP led to significantly different WTP estimates, highlighting the need to undertake further methodological explorations of approaches to elicit WTP values.
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Affiliation(s)
- Zhenzhen Xie
- Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Jiayin Chen
- Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Calvin Kalun Or
- Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China (Hong Kong)
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De Guzman KR, Caffery LJ, Smith AC, Snoswell CL. Specialist consultation activity and costs in Australia: Before and after the introduction of COVID-19 telehealth funding. J Telemed Telecare 2021; 27:609-614. [PMID: 34726998 PMCID: PMC8564224 DOI: 10.1177/1357633x211042433] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This study describes and analyses the Medicare Benefits Schedule (MBS) activity and cost data for specialist consultations in Australia, as a result of the coronavirus disease 2019 (COVID-19) pandemic. To achieve this, activity and cost data for MBS specialist consultations conducted from March 2019 to February 2021 were analysed month-to-month. MBS data for in-person, videoconference and telephone consultations were compared before and after the introduction of COVID-19 MBS telehealth funding in March 2020. The total number of MBS specialist consultations claimed per month did not differ significantly before and after the onset of COVID-19 (p = 0.717), demonstrating telehealth substitution of in-person care. After the introduction of COVID-19 telehealth funding, the average number of monthly telehealth consultations increased (p < 0.0001), representing an average of 19% of monthly consultations. A higher proportion of consultations were provided by telephone when compared to services delivered by video. Patient-end services did not increase after the onset of COVID-19, signifying a divergence from the historical service delivery model. Overall, MBS costs for specialist consultations did not vary significantly after introducing COVID-19 telehealth funding (p = 0.589). Telehealth consultations dramatically increased during COVID-19 and patients continued to receive specialist care. After the onset of COVID-19, the cost per telehealth specialist consultation was reduced, resulting in increased cost efficiency to the MBS.
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Affiliation(s)
- Keshia R De Guzman
- Centre for Online Health, 430948The University of Queensland, Brisbane, Australia.,Centre for Health Services Research, 558219The University of Queensland, Brisbane, Australia
| | - Liam J Caffery
- Centre for Online Health, 430948The University of Queensland, Brisbane, Australia.,Centre for Health Services Research, 558219The University of Queensland, Brisbane, Australia
| | - Anthony C Smith
- Centre for Online Health, 430948The University of Queensland, Brisbane, Australia.,Centre for Health Services Research, 558219The University of Queensland, Brisbane, Australia.,Centre for Innovative Medical Technology, 1974University of Southern Denmark, Denmark
| | - Centaine L Snoswell
- Centre for Online Health, 430948The University of Queensland, Brisbane, Australia.,Centre for Health Services Research, 558219The University of Queensland, Brisbane, Australia
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