Patients' Preferences for Outcome, Process and Cost Attributes in Cancer Treatment: A Systematic Review of Discrete Choice Experiments

Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic

BACKGROUND

Immunotherapy has become a game changer in cancer treatment. The internet has been used by patients as a platform to share personal experiences and seek medical guidance. Despite the increased utilization of immunotherapy in clinical practice, few studies have investigated the perceptions about its use by analyzing social media data.

OBJECTIVE

This study aims to use BERTopic (a topic modeling technique that is an extension of the Bidirectional Encoder Representation from Transformers machine learning model) to explore the perceptions of online cancer communities regarding immunotherapy.

METHODS

A total of 4.9 million posts were extracted from Facebook, Twitter, Reddit, and 16 online cancer-related forums. The textual data were preprocessed by natural language processing. BERTopic modeling was performed to identify topics from the posts. The effectiveness of isolating topics from the posts was evaluated using 3 metrics: topic diversity, coherence, and quality. Sentiment analysis was performed to determine the polarity of each topic and categorize them as positive or negative. Based on the topics generated through topic modeling, thematic analysis was conducted to identify themes associated with immunotherapy.

RESULTS

After data cleaning, 3.6 million posts remained for modeling. The highest overall topic quality achieved by BERTopic was 70.47% (topic diversity: 87.86%; topic coherence: 80.21%). BERTopic generated 14 topics related to the perceptions of immunotherapy. The sentiment score of around 0.3 across the 14 topics suggested generally positive sentiments toward immunotherapy within the online communities. Six themes were identified, primarily covering (1) hopeful prospects offered by immunotherapy, (2) perceived effectiveness of immunotherapy, (3) complementary therapies or self-treatments, (4) financial and mental impact of undergoing immunotherapy, (5) impact on lifestyle and time schedules, and (6) side effects due to treatment.

CONCLUSIONS

This study provides an overview of the multifaceted considerations essential for the application of immunotherapy as a therapeutic intervention. The topics and themes identified can serve as supporting information to facilitate physician-patient communication and the decision-making process. Furthermore, this study also demonstrates the effectiveness of BERTopic in analyzing large amounts of data to identify perceptions underlying social media and online communities.

An Investigation of Travel Distance and Timeliness of Breast Cancer Treatment Among a Diverse Cohort in the United States

Travel to and from distant cancer treatment facilities can place a significant burden on cancer patients, particularly rural and minority survivors. Thus, the purpose of our investigation was to examine the association between patient travel distance and delays in types of treatment for breast cancer (surgery, radiation, chemotherapy, and hormonal therapy) and treatment delays. Using a novel linkage between the state cancer registry and administrative data from Medicaid and a private insurance plan, 2155 BC patients were successfully linked to create the cohort. ArcGIS was used to geocode all case residences and treatment facility addresses and calculate network distance between the residence and each facility. Logistic regression models were used to calculate the adjusted odds of being delayed versus timely by street distance. Odds of late surgery were increased by 1% (95% CI: 1.00, 1.01) for each one-mile increase from the patient's residence to the treatment facility. In race-stratified models, the odds of late treatment for Black patients increased by 3% per mile (95% CI 1.01, 1.06) for radiation. Increased travel distance appears to significantly increase treatment delays for surgical, radiation, and chemotherapeutic treatments for women with BC, especially among Black women.

Stated Preferences of At-Risk Populations for the Treatment of Osteoporosis: A Systematic Review

INTRODUCTION

Poor adherence to anti-osteoporosis treatment is a well-recognized problem, partly due to misalignment with patient preferences. In recent years, several quantitative preference studies have been conducted. This study aimed to systematically review stated preference research to provide a comprehensive overview of patient preferences in osteoporosis, in particular on conditional relative attribute importance and preference heterogeneity.

METHODS

This systematic review was conducted in MEDLINE and Embase up to February 29th, 2024. It includes all English-language, peer-reviewed, stated preference articles related to osteoporosis management and treatment in patients with or at risk of osteoporosis. Conditional relative importance of attributes as well as heterogeneity was assessed, and attributes classified into outcome, process, and cost attributes. Quality assessment was performed using a combined checklist of Purpose, Respondents, Explanation, Findings, and Significance (PREFS) and International Society for Pharmacoeconomics and Outcomes Research (ISPOR) items.

RESULTS

Fourteen studies including 4714 participants were evaluated. Attributes were mostly classified as process related (50%) and outcome related (40%), both of which significantly influence patient preferences. In pairwise attribute comparison, efficacy was dominant over cost, administration, and side-effects. Preference heterogeneity was observed in the majority of studies (86%). Quality assessment indicated an overall improvement in study quality over time, with recent studies adhering more closely to established methodological standards.

CONCLUSIONS

The findings highlight the importance of considering patient preferences in the management of osteoporosis, underscoring the need for a patient-centered approach. The readiness of patients to engage in trade-offs between attributes suggests that healthcare providers should ensure treatments are aligned with individual patient preferences to improve adherence and optimize outcomes.

Public Preference for Off-Label Use of Drugs for Cancer Treatment and Relative Importance of Associated Adverse Events: A Discrete Choice Experiment and Best-Worst Scaling

BACKGROUND AND OBJECTIVE

Patients may get more treatment options with off-label use of drugs while exposed to unknown risks of adverse events. Little is known about the public or demand-side perspective on off-label drug use, which is important to understand how to use off-label treatment and devise financial assistance. This study aimed to quantify public preference for off-label cancer treatment outcomes, process, and costs, and perceived importance of associated adverse events.

METHODS

A discrete choice experiment and a best-worst scaling were conducted in Hong Kong in December 2022. Quota sampling was used to randomly select the study sample from a territory-wide panel of working-age adults. Preferences and willingness to pay (WTP) for treatment effectiveness, risk of adverse events, mode of drug administration, and availability of off-label treatment guidelines were estimated using a random parameter logit model and latent class model. The relative importance of different adverse events was elicited using Case 1 best-worst scaling.

RESULTS

A total of 435 respondents provided valid responses. In the discrete choice experiment, the respondents indicated that extra overall survival as treatment effectiveness (WTP: HK$448,000/US$57,400 for 12-month vs 3-month extra survival) was the most important attribute for off-label drugs, followed by the risk of adverse events (WTP: HK$318,000/US$40,800 for 10% chance to have adverse event vs 55%), mode of drug administration (WTP: HK$42,000/US$5300 for oral intake vs injection), and availability of guidelines (WTP: HK$31,000/US$4000 for available versus not available). Four groups with distinct preferences were identified, including effectiveness oriented, off-label use refusal, oral intake oriented, and adverse event risk aversion. In the best-worse scaling, hypothyroidism, nausea/vomiting, and arthralgia/joint pain were the three most important adverse events based on the perceptions of respondents. Risk-averse respondents, who were identified from the discrete choice experiment, had different perceived importance of the adverse events compared with those with other preferences.

CONCLUSIONS

Knowing the preference and WTP for cancer treatment-related characteristics from a societal perspective facilitates doctors' communications with patients on decision making and treatment goal-setting for off-label treatment, and enables devising financial assistance for related treatments. This study also provides important insight to inform evaluations of public acceptance and information dissemination in drug development as well as future economic evaluations.

Financial Toxicity and Willingness-to-Pay for Cancer Treatment Among People With Multiple Myeloma

PURPOSE

This study used willingness-to-pay (WTP) exercises to explore the relationships between race, financial toxicity, and treatment decision making among people with cancer.

METHODS

A convenience sample of people with multiple myeloma who attended an academic medical center in 2022 was surveyed. Financial toxicity was assessed by the Comprehensive Score for financial Toxicity, with scores <26 indicating financial toxicity. WTP was assessed with (1) a discrete choice experiment (DCE), (2) fixed-choice tasks, and (3) a bidding game.

RESULTS

In total, 156 people were approached, and 130 completed the survey. The majority of the sample was White (n = 99), whereas 24% (n = 31) was African American or Black. Forty-six percent (n = 60) of the sample were experiencing financial toxicity. In the DCE, the relative importance of cost was twice as high for those with financial toxicity (30% compared with 14%; P < .001). In the fixed-choice tasks, they were twice as likely to accept a treatment with shorter progression-free survival but lower costs (adjusted odds ratio [aOR], 2.47; P = .049). In the bidding game, the median monthly WTP of those with financial toxicity was half that of those without ($100 in US dollars [USD] compared with $200 USD; P < .001). Only in the bidding game was race statistically associated with WTP; after controlling for financial toxicity, African American or Black participants were three times as likely (aOR, 3.06; P = .007) to report a lower WTP.

CONCLUSION

Across all three exercises, participants with financial toxicity reported lower WTP than those without. As financial toxicity disproportionally affects some segments of patients, it is possible that financial toxicity contributes to cancer disparities.

Treatment Preference Research in Atopic Dermatitis: A Systematic Review of Quantitative Studies

BACKGROUND

Treatment preference research can support shared and informed decision making for currently available atopic dermatitis (AD) treatments, and simultaneously guide research and development for future therapies. In this systematic literature review, we aimed to provide an overview of preferences for AD treatments.

METHODS

This systematic literature review was conducted in the Medline and Embase (via Ovid) databases, supplemented by manual searching. Quantitative research published from 2010 to September 2023 that investigated preferences for AD treatments were included. Quality assessment was conducted by using the purpose, respondents, explanation, findings, significance checklist, and a checklist developed by the Professional Society for Health Economics and Outcomes Research.

RESULTS

In total, 207 references were screened after removing duplicates and 15 studies were included. Most studies were conducted in the US, followed by European countries. On average, people directly or indirectly affected by AD rate efficacy and treatment-related risk as the most important criteria when choosing an AD therapy. Participants are willing to increase risks in order to have a higher chance of achieving a certain benefit, e.g. reduction in itch or clearer skin. Participants have preferences for different modes of administration. On average, 68% (all full-text studies) and 87% (only discrete choice experiments [DCEs]) of quality criteria per reference were rated as fulfilled. DCEs received generally higher quality assessment scores than non-DCEs.

CONCLUSIONS

This review revealed that AD treatment preference research is limited. Diverse study designs hampered comparison and synthesis of the results. We recommend conducting more DCEs in this field to increase the likelihood of AD patients receiving the therapy that best fits their individual needs and preferences.

CLINICAL TRIALS REGISTRATION

This protocol was published in PROSPERO (ID: CRD42023468757).

Preferences for COVID-19 Vaccines: Systematic Literature Review of Discrete Choice Experiments

BACKGROUND

Vaccination can be viewed as comprising the most important defensive barriers to protect susceptible groups from infection. However, vaccine hesitancy for COVID-19 is widespread worldwide.

OBJECTIVE

We aimed to systematically review studies eliciting the COVID-19 vaccine preference using discrete choice experiments.

METHODS

A literature search was conducted in PubMed, Embase, Web of Science, Scopus, and CINAHL Plus platforms in April 2023. Search terms included discrete choice experiments, COVID-19, and vaccines and related synonyms. Descriptive statistics were used to summarize the study characteristics. Subgroup analyses were performed by factors such as high-income countries and low- and middle-income countries and study period (before, during, and after the pandemic wave). Quality appraisal was performed using the 5-item Purpose, Respondents, Explanation, Findings, and Significance checklist.

RESULTS

The search yield a total of 623 records, and 47 studies with 53 data points were finally included. Attributes were grouped into 4 categories: outcome, process, cost, and others. The vaccine effectiveness (21/53, 40%) and safety (7/53, 13%) were the most frequently reported and important attributes. Subgroup analyses showed that vaccine effectiveness was the most important attribute, although the preference varied by subgroups. Compared to high-income countries (3/29, 10%), a higher proportion of low- and middle-income countries (4/24, 17%) prioritized safety. As the pandemic progressed, the duration of protection (2/24, 8%) during the pandemic wave and COVID-19 mortality risk (5/25, 20%) after the pandemic wave emerged as 2 of the most important attributes.

CONCLUSIONS

Our review revealed the critical role of vaccine effectiveness and safety in COVID-19 vaccine preference. However, it should be noticed that preference heterogeneity was observed across subpopulations and may change over time.

TRIAL REGISTRATION

PROSPERO CRD42023422720; https://tinyurl.com/2etf7ny7.

Shared Decision Making in Oncology and Its Implementation in Cervical Cancer Management in the Philippines: A Narrative Review

PURPOSE

Shared decision making (SDM) is an approach where clinicians and patients make decisions together using the best available evidence. Although much studied, recognized to be ethically imperative, and recommended in international health policies, it remains poorly implemented. In the Philippines, there are limited studies on patient decision making preferences and SDM. Practical guidance on the implementation of SDM or use of patient decision aids (PtDAs) is often not detailed in existing national clinical practice guidelines in oncology.

METHODS

We performed a systematic search of Philippine literature on SDM in oncology and an iterative review of international literature on the philosophy and methods of SDM, the utility and effectiveness of PtDAs, and the facilitators and barriers to implementation or usage. We contextualized our review to the cervical cancer management and health service delivery in the Philippines.

RESULTS

Local literature is limited to five scientific publications and two registered studies. International literature encompasses patient decisional preferences, the role of PtDAs and the standards for their development and evaluation, their effectiveness, and barriers and facilitators to their use in cancer-related decision making. We discussed the implications on the management of cervical cancer in the Philippines, challenges in health service delivery and standards, and SDM research.

CONCLUSION

Local SDM research is limited. Our preliminary experience in a multicenter clinical trial in Manila on PtDA use in the framework of SDM in cervical cancer suggest good patient and clinician acceptability. Challenges to implementation such as unfavorable financial situations, urgency of clinical decisions, low patient or caregiver educational attainment, and poor integration of multidisciplinary and SDM in organizational workflows will be important when implementing SDM in different settings.

Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments

BACKGROUND

Understanding service user preferences is key to effective health care decision making and efficient resource allocation. It is of particular importance in the management of high-risk patients in whom predictive genetic testing can alter health outcomes.

PURPOSE

This review aims to identify the relative importance and willingness to pay for attributes of genetic testing in hereditary cancer syndromes.

DATA SOURCES

Searches were conducted in Medline, Embase, PsycINFO, HMIC, Web of Science, and EconLit using discrete choice experiment (DCE) terms combined with terms related to hereditary cancer syndromes, malignancy synonyms, and genetic testing.

STUDY SELECTION

Following independent screening by 3 reviewers, 7 studies fulfilled the inclusion criteria, being a DCE investigating patient or public preferences related to predictive genetic testing for hereditary cancer syndromes.

DATA EXTRACTION

Extracted data included study and respondent characteristics, DCE attributes and levels, methods of data analysis and interpretation, and key study findings.

DATA SYNTHESIS

Studies covered colorectal, breast, and ovarian cancer syndromes. Results were summarized in a narrative synthesis and the quality assessed using the Lancsar and Louviere framework.

LIMITATIONS

This review focuses only on DCE design and testing for hereditary cancer syndromes rather than other complex diseases. Challenges also arose from heterogeneity in attributes and levels.

CONCLUSIONS

Test effectiveness and detection rates were consistently important to respondents and thus should be prioritized by policy makers. Accuracy, cost, and wait time, while also important, showed variation between studies, although overall reduction in cost may improve uptake. Patients and the public would be willing to pay for improved detection and clinician over insurance provider involvement. Future studies should seek to contextualize findings by considering the impact of sociodemographic characteristics, health system coverage, and insurance policies on preferences.

HIGHLIGHTS

Test effectiveness and detection rates are consistently important to respondents in genetic testing for hereditary cancer syndromes.Reducing the cost of genetic testing for hereditary cancer syndromes may improve uptake.Individuals are most willing to pay for a test that improves detection rates, identifies multiple cancers, and for which results are shared with a doctor rather than with an insurance provider.

Patient Priorities Concerning Treatment Decisions for Advanced Neuroendocrine Tumors Identified by Discrete Choice Experiments

BACKGROUND

Patients with advanced neuroendocrine tumors (NETs) have multiple treatment options. Ideally, treatment decisions are shared between physician and patient; however, previous studies suggest that oncologists and patients place different value on treatment attributes such as adverse event (AE) rates. High-quality information on NET patient treatment preferences may facilitate patient-centered decision making by helping clinicians understand patient priorities.

METHODS

This study used 2 discrete choice experiments (DCE) to elicit preferences of NET patients regarding advanced midgut and pancreatic NET (pNET) treatments. The DCEs used the "potentially all pairwise rankings of all possible alternatives" (PAPRIKA) method. The primary objective was to determine relative utility rankings for treatment attributes, including progression-free survival (PFS), treatment modality, and AE rates. Ranking of attribute profiles matching specific treatments was also determined. Levels for treatment attributes were obtained from randomized clinical trial data of NET treatments.

RESULTS

One hundred and 10 participants completed the midgut NET DCE, and 132 completed the pNET DCE. Longer PFS was the highest ranked treatment attribute in 64.5% of participants in the midgut NET DCE, and in 59% in the pNET DCE. Approximately, 40% of participants in both scenarios prioritized lower AE rates or less invasive treatment modalities over PFS. Ranking of treatment profiles in the midgut NET scenario identified 60.9% of participants favoring peptide receptor radionuclide therapy (PRRT), and 30.0% somatostatin analogue dose escalation.

CONCLUSION

NET patients have heterogeneous priorities when choosing between treatment options based on the results of 2 independent DCEs. These results highlight the importance of shared decision making for NET patients.

Stakeholders' preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments

This systematic review aimed to synthesise evidence from discrete choice experiments (DCEs) eliciting preferences for virtual models of care, as well as to assess the quality of those DCEs and compare the relative preferences for different stakeholder groups. Articles were included if published between January 2010 and December 2022. Data were synthesised narratively, and attributes were assessed for frequency, significance, and relative importance using a semi-quantitative approach. Overall, 21 studies were included encompassing a wide range of virtual care modalities, with the most common setting being virtual consultations for outpatient management of chronic conditions. A total of 135 attributes were identified and thematically classified into six categories: service delivery, service quality, technical aspects, monetary aspects, health provider characteristics and health consumer characteristics. Attributes related to service delivery were most frequently reported but less highly ranked. Service costs were consistently significant across all studies where they appeared, indicating their importance to the respondents. All studies examining health providers' preferences reported either system performance or professional endorsement attributes to be the most important. Substantial heterogeneity in attribute selection and preference outcomes were observed across studies reporting on health consumers' preferences, suggesting that the consideration of local context is important in the design and delivery of person-centred virtual care services. In general, the experimental design and analysis methods of included studies were clearly reported and justified. An improvement was observed in the quality of DCE design and analysis in recent years, particularly in the attribute development process. Given the continued growth in the use of DCEs within healthcare settings, further research is needed to develop a standardised approach for quantitatively synthesising DCE findings. There is also a need for further research on preferences for virtual care in post-pandemic contexts, where emerging evidence suggests that preferences may differ to those observed in pre-pandemic times.

Preferences for Palliative and End-of-Life Care: A Systematic Review of Discrete Choice Experiments

OBJECTIVES

Understanding what matters most to patients and their caregivers is fundamental to delivering high-quality care. This systematic review aimed to characterize and appraise the evidence from discrete choice experiments eliciting preferences for palliative care.

METHODS

A systematic literature search was undertaken for publications up until August 2022. Data were synthesized narratively. Thematic analysis was applied to categorize attributes into groups. Attribute development, frequency, and relative importance were analyzed. Subgroup analyses were conducted to compare outcomes between patient and proxy respondents.

RESULTS

Seventeen studies spanning 11 countries were included; 59% of studies solely considered preferences for patients with cancer. A range of respondent groups were represented including patients (76%) and proxies (caregivers [35%], health providers [12%], and the public [18%]). A total of 117 individual attributes were extracted and thematically grouped into 8 broad categories and 21 subcategories. Clinical outcomes including quality of life, length of life, and pain control were the most frequently reported attributes, whereas attributes relating to psychosocial components were largely absent. Both patients and proxy respondents prioritized pain control over additional survival time. Nevertheless, there were differences between respondent cohorts in the emphasis on other attributes such as access to care, timely information, and low risk of adverse effects (prioritized by patients), as opposed to cost, quality, and delivery of care (prioritized by proxies).

CONCLUSIONS

Our review underscores the vital role of pain control in palliative care; in addition, it shed light on the complexity and relative strength of preferences for various aspects of care from multiple perspectives, which is useful in developing personalized, patient-centered models of care for individuals nearing the end of life.

Differences between physician and patient preferences for cancer treatments: a systematic review

BACKGROUND

Shared decision-making is useful to facilitate cancer treatment decisions. However, it is difficult to make treatment decisions when physician and patient preferences are different. This review aimed to summarize and compare the preferences for cancer treatments between physicians and patients.

METHODS

A systematic literature search was conducted on PubMed, Embase, PsycINFO, CINAHL and Scopus. Studies elicited and compared preferences for cancer treatments between physicians and patients were included. Information about the study design and preference measuring attributes or questions were extracted. The available relative rank of every attribute in discrete choice experiment (DCE) studies and answers to preference measuring questions in non-DCE studies were summarized followed by a narrative synthesis to reflect the preference differences.

RESULTS

Of 12,959 studies identified, 8290 were included in the title and abstract screening and 48 were included in the full text screening. Included 37 studies measured the preferences from six treatment-related aspects: health benefit, adverse effects, treatment process, cost, impact on quality of life, and provider qualification. The trade-off between health benefit and adverse effects was the main focus of the included studies. DCE studies showed patients gave a higher rank on health benefit and treatment process, while physicians gave a higher rank on adverse effects. Non-DCE studies suggested that patients were willing to take a higher risk of adverse effects or lower health benefit than physicians when accepting a treatment.

CONCLUSIONS

Physicians and patients had important preference differences for cancer treatment. More sufficient communication is needed in cancer treatment decision-making.

Patient Preferences in Diagnostic Imaging: A Scoping Review

BACKGROUND

As new diagnostic imaging technologies are adopted, decisions surrounding diagnostic imaging become increasingly complex. As such, understanding patient preferences in imaging decision making is imperative.

OBJECTIVES

We aimed to review quantitative patient preference studies in imaging-related decision making, including characteristics of the literature and the quality of the evidence.

METHODS

The Pubmed, Embase, EconLit, and CINAHL databases were searched to identify studies involving diagnostic imaging and quantitative patient preference measures from January 2000 to June 2022. Study characteristics that were extracted included the preference elicitation method, disease focus, and sample size. We employed the PREFS (Purpose, Respondents, Explanation, Findings, Significance) checklist as our quality assessment tool.

RESULTS

A total of 54 articles were included. The following methods were used to elicit preferences: conjoint analysis/discrete choice experiment methods (n = 27), contingent valuation (n = 16), time trade-off (n = 4), best-worst scaling (n = 3), multicriteria decision analysis (n = 3), and a standard gamble approach (n = 1). Half of the studies were published after 2016 (52%, 28/54). The most common scenario (n = 39) for eliciting patient preferences was cancer screening. Computed tomography, the most frequently studied imaging modality, was included in 20 studies, and sample sizes ranged from 30 to 3469 participants (mean 552). The mean PREFS score was 3.5 (standard deviation 0.8) for the included studies.

CONCLUSIONS

This review highlights that a variety of quantitative preference methods are being used, as diagnostic imaging technologies continue to evolve. While the number of preference studies in diagnostic imaging has increased with time, most examine preventative care/screening, leaving a gap in knowledge regarding imaging for disease characterization and management.

Factors influencing choice of b/ts DMARDs in managing inflammatory arthritis from a patient perspective: a systematic review of global evidence and a patient-based survey from Hong Kong

OBJECTIVES

To investigate factors concerning patients regarding biological/target synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) in treating inflammatory arthritis (IA).

DESIGN

This study consists of a systematic review and a cross-sectional survey in Hong Kong. A systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses was conducted on PubMed, Web of Science, Cochrane and Embase between 1 January 2000 and 1 January 2022. Content analysis was conducted to summarise factors grouped by four themes-social aspects (SA), clinical aspects (CA), medicine characteristics (MC) and financial aspects (FA) in the decision-making process. One cross-sectional survey among Hong Kong patients with IA was conducted to add to global evidence.

SETTING

A systematic review of global evidence and a patient-based survey in Hong Kong to complement scarce evidence in Asia regions.

RESULTS

The systematic review resulted in 34 studies. The four themes were presented in descending order consistently but varied with frequency throughout decision-making processes. During decision-making involving medication initiation, preference and discontinuation, MC (reported frequency: 83%, 86%, 78%), SA (56%, 43%, 78%) and FA (39%, 33%, 56%) were the three most frequently reported factors, whereas CA was less studied. Local survey also revealed that MC factors such as treatment efficacy and the probability of severe adverse events, and SA factors such as the availability of government or charity subsidy, influenced patients' initiation and preference for b/ts DMARDs. Meanwhile, self-estimated improvement in disease conditions (SA), drug side effects (MC) and drug costs (FA) were associated with treatment discontinuation.

CONCLUSIONS

Global and local evidence consistently indicate that MC and SA are important considerations in patients' decisions regarding novel DMARDs. Health policies that reduce patients' financial burden and enhances healthcare professionals' engagement in decision-making and treatment delivery should be in place with an efficient healthcare system for managing IA optimistically.

Variation in Preferences for Long-Acting Injectable Pre-Exposure Prophylaxis Among US Men Who Have Sex with Men: A Latent Class Analysis

Cabotegravir long-acting injectable HIV pre-exposure prophylaxis (LA PrEP) is efficacious, with a good safety profile, and was approved by the US Food and Drug Administration in December 2021. Understanding variations in potential user preferences for LA PrEP may inform implementation and subsequently improve uptake and community-level effectiveness. HIV-negative, sexually active men who have sex with men (MSM) aged ≥15 years were recruited online for the 2019 American Men's Internet Survey, before LA PrEP approval. Respondents completed a discrete-choice experiment (DCE) with hypothetical LA PrEP attributes (out-of-pocket cost, perceived side effects, injection frequency, perceived stigma, service location). Latent class analysis segmented respondents into groups based on their preferences for the attributes presented, and relative importance of preference weights and willingness-to-pay were calculated. While the majority had never used daily oral PrEP, 73% of the 2489 respondents were very or somewhat likely to use LA PrEP. Three latent classes were identified from 2241 respondents in the DCE. The "side effects-averse" class was the largest group (64% of respondents) and placed 61% relative importance on side effects. The "ambivalent" class (20% of respondents) placed higher importance on stigma (17% of relative importance) than other classes. The "cost-conscious" class (16% of respondents) placed higher relative importance (62%) on cost compared with other attributes and classes. Perceived side effects were an important hypothetical barrier for LA PrEP uptake among a large proportion of potential MSM users. Minimizing out-of-pocket costs is likely to increase uptake and may be important to equitable access. Tailored communication strategies are recommended for the different groups of potential LA PrEP users.

Eliciting preferences in glaucoma management-a systematic review of stated-preference studies

BACKGROUND

In most cases, glaucoma patients require long-term medical and/or surgical treatment. Preference studies investigate how different aspects of glaucoma management, such as health or process outcomes, are valued and herewith help stakeholders make care more responsive to patients' needs. As, to our knowledge, no overview of these studies is currently available, this study aims to systematically review and critically appraise these studies.

METHODS

A systematic literature review was conducted using keywords for stated-preference studies and glaucoma up to October 2021. Studies were included if they were original research and used a stated-preference methodology to investigate preferences in patients or healthcare professionals for different aspects of glaucoma management. Data were extracted and summarized. Furthermore, a quality appraisal of the included studies was performed using two validated checklists.

RESULTS

The search yielded 1214 articles after removal of duplicates. Of those, 11 studies fulfilled the inclusion criteria. Studies aimed to elicit preferences for glaucoma treatment (27%), glaucoma related health state valuation (36%), and services (36%) from the patient (91%) or ophthalmologists' perspective (9%). Altogether studies included 69 attributes. The majority of attributes were outcome related (62%), followed by process (32%) and cost attributes (6%). Outcome attributes (e.g., effectiveness) were most often of highest importance to the population.

CONCLUSIONS

This systematic review provides an up-to-date and critical review of stated-preference studies in the field of glaucoma, suggesting that patients have preferences and are willing to trade-off between characteristics, and revealed that outcome attributes are the most influential characteristics of glaucoma management.

Disutilities Associated with Intravenous Iron Infusions: Results from a Time Trade-off Survey and Diminishing Marginal Utility Model for Treatment Attributes in China

Purpose

Treatment process attributes can affect health state utilities associated with therapy. For intravenous iron, used to treat iron deficiency and iron deficiency anemia, research into process attributes is still lacking. This study estimated utilities associated with process attributes for intravenous iron infusions.

Methods

An online survey including seven health state vignettes and time trade-off tasks was administered to participants, who were not patients living with iron deficiency or iron deficiency anemia, from a Chinese online panel. Vignettes used an identical description of iron deficiency and iron deficiency anemia but differed in the annual number of infusions, infusion duration, and infusion-associated risk of hypophosphatemic osteomalacia. Disutilities and their rate of change as the number of infusions increased were examined using a power model.

Results

The survey was completed by 1091 participants. The highest utilities were observed for one annual infusion of 15-30 minutes or 30-60 minutes, without risk of hypophosphatemic osteomalacia (0.754 and 0.746, respectively). In comparison, more infusions and infusions with a risk of hypophosphatemic osteomalacia were associated with lower utilities. Utility continued to decrease, but at a diminishing rate, as the annual number of infusions increased, with utility decrements of 0.006 and 0.002, respectively, when going from zero to one and from four to five infusions per year. All marginal disutilities were small (values <0.01).

Conclusion

This study suggested that treatment attributes of intravenous iron infusions affect health state utilities. Using intravenous iron formulations that allow for fewer and shorter infusions without the risk of hypophosphatemic osteomalacia can reduce the number of visits required and increase patients' quality of life.

Patient Decision Aid for Chemotherapy or Exclusion in Cisplatin-Intolerant Patients With Locally Advanced Cervical Cancer: Development, Alpha Testing, and Peer Validation

PURPOSE

In locally advanced cervical cancer (LACC), adding cisplatin to radiotherapy (RT) improves survival but increases toxicity. Among patients with cisplatin contraindications, RT compliance may be compromised by toxicity because of cisplatin or a substitute. In shared decision making, a patient decision aid (PtDA) may decrease decisional conflict and attitudinal barriers, thereby improving treatment compliance.

METHODS

Following International Patient Decision Aid Standards (IPDAS) guidelines, a steering committee of two radiation oncologists, a gynecologic oncologist, an oncology nurse, a clinical psychologist, a cancer survivor, and a caregiver developed the chemotherapy or exclusion in cisplatin-intolerant patients with LACC (CECIL) prototype, a PtDA for cisplatin-intolerant patients with LACC deciding about adding chemotherapy to RT. The prototype was alpha-tested using the e-Delphi method. The patient decision aid research group Ottawa Acceptability Questionnaire was used to evaluate comprehensibility, length, amount of information, neutrality, and overall suitability for decision making. The prototype was then independently evaluated by local internal, local external, and international reviewers using the IPDAS checklist version 4, which encompasses information, probabilities, values, guidance, development, evidence, disclosure, plain language, and evaluation.

RESULTS

Alpha testing showed high practitioner acceptability (all items with mean and median scores ≥4; overall mean score 4.70 of 5.00) and good patient acceptability (all items rated good to excellent). Content validation showed that the PtDA satisfied all IPDAS six qualifying and six certification criteria, with high overall mean score (3.63 of 4.00) for all 17 applicable quality criteria.

CONCLUSION

The CECIL prototype shows good practitioner and patient acceptability, and content validity on peer review. Clinical testing to determine its effectiveness in reducing decisional conflict is ongoing.

Current Health State Affected Patient Preferences More Than Disease Status: A Discrete Choice Experiment in Multiple Myeloma

OBJECTIVES

To examine how disease status and current health state influence treatment preferences of patients with multiple myeloma (MM).

METHODS

Participants with MM from France, Germany, and the United Kingdom completed a web-based survey that included a discrete choice experiment (DCE) and EQ-5D assessment. The DCE elicited preferences for 8 attributes: increased life expectancy, increased time to relapse, pain, fatigue, risk of infection, administration (route and duration), frequency of administration, and monitoring. Multinomial logit models were used to analyze DCE preference data and to calculate life expectancy trade-offs.

RESULTS

Three hundred participants with MM (newly diagnosed, transplant eligible, n = 108; newly diagnosed, transplant ineligible, n = 105; relapsed-refractory, n = 87) completed the survey. The most valued attributes were pain, fatigue, and increased life expectancy. Participants would want an additional 2.7 years of life expectancy (95% confidence interval [CI] 2.4-3.1 years) to tolerate extreme pain and an additional 2.0 years of life expectancy (95% CI 1.6-2.3 years) to tolerate constant fatigue. Participants in a better health state (third EQ-5D score quartile [0.897]) required less additional life expectancy than participants with a worse health state (first EQ-5D score quartile [0.662]) to tolerate extreme pain (2.3 years [95% CI 1.9-2.6 years] vs 3.0 years [95% CI 2.6-3.4 years]; P = .007). There was little difference in treatment preferences between newly diagnosed and relapsed-refractory patients for pain, fatigue, and increased life expectancy.

CONCLUSIONS

Current health state influenced treatment preferences of patients with MM more than disease status and should be considered when making treatment decisions.

Patient preferences for epilepsy treatment: a systematic review of discrete choice experimental studies

BACKGROUND

This review aimed to 1) identify and assess the quality of discrete choice experiments (DCEs) examining preferences related to epilepsy treatment; 2) summarize the attributes and attribute levels measured in these studies; 3) identify how researchers selected and developed these attributes; and 4) identify which attributes are most important for epilepsy patients.

METHODS

A systematic literature review using PubMed, Web of Science and Scopus databases from database inception to February or April 2022. We included primary discrete-choice experiments eliciting preferences for various attributes of pharmacological and surgical interventions in patients diagnosed with epilepsy or the parents/carers of children with epilepsy. We excluded non- primary studies, studies assessing preferences for nonpharmacological treatment and studies that elicit preferences using methods other than discrete choice experiments. Two authors independently selected studies, extracted data and assessed risk of bias of studies. The quality of the included studies was assessed using two validated checklists. Study characteristics and findings were summarized descriptively.

RESULTS

A total of seven studies were included in the review. The majority of studies explored patients' preferences, and two compared the preferences of patients with physicians. The majority (n = 6) compared two medications, and one compared two surgical options to continuing medication options. The studies examined 44 attributes in total, including side effects (n = 26), efficacy expressed as being seizure free or have fewer seizures (n = 8), costs (n = 3), dosing frequency (n = 3), duration of side effects (n = 2), mortality (n = 1), long-term problems after surgery (n = 1) and surgical options (n = 1). The findings indicate that people with epilepsy have strong preferences for improving seizure control, which was ranked as the top priority in all studies. Patients also have a strong preference for the reduction of adverse effects and may be willing to make trade-offs between improved seizure control and reduction of long-term side effects that may impact their quality of life.

CONCLUSIONS

The use of DCEs in measuring patients' preference for epilepsy treatment is accumulating. However, inadequate reporting of methodological details may reduce decision-makers' confidence in the findings. Suggestions for future research are provided.

Patient preferences for features of HER2-targeted treatment of advanced or metastatic breast cancer: a discrete-choice experiment study

BACKGROUND

We aimed to quantify patients' benefit-risk preferences for attributes associated with human epidermal growth factor receptor 2 (HER2)-targeted breast cancer treatments and estimate minimum acceptable benefits (MABs), denominated in additional months of progression-free survival (PFS), for given treatment-related adverse events (AEs).

METHODS

We conducted an online discrete-choice experiment (DCE) among patients with self-reported advanced/metastatic breast cancer in the United States, United Kingdom, and Japan (N = 302). In a series of nine DCE questions, respondents chose between two hypothetical treatment profiles created by an experimental design. Profiles were defined by six attributes with varying levels: PFS, nausea/vomiting, diarrhea, liver function problems, risk of heart failure, and risk of serious lung damage and infections. Data were analyzed using an error component random-parameters logit model.

RESULTS

Among the attributes, patients placed the most importance on a change in PFS from 5 to 26 months; change from no diarrhea to severe diarrhea was the least important. Avoiding a 15% risk of heart failure had the largest MAB (5.8 additional months of PFS), followed by avoiding a 15% risk of serious lung damage and infections (4.6 months), possible severe liver function problems (4.2 months), severe nausea/vomiting (3.7 months), and severe diarrhea (2.3 months) compared with having none of the AEs. The relative importance of 21 additional months of PFS (increasing from 5 to 26 months) increased for women with HER2-negative disease and those with children.

CONCLUSIONS

Patients valued PFS gain higher than the potential risk of AEs when deciding between hypothetical breast cancer treatments.

Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments

BACKGROUND

Targeted pharmacotherapy has been increasingly applied in cancer treatment due to its breakthroughs. However, the unmet needs of cancer patients are still significant, highlighting the urgency to investigate patient preferences. It is unclear how patients deliberate their choices between different aspects of targeted therapy, including cost, efficacy, and adverse events. Since discrete choice experiments (DCEs) have been widely applied to patient preference elicitation, we reviewed DCEs on targeted therapy for different cancers. We also synthesized evidence on the factors influencing patients' choices and their willingness-to-pay (WTP) for survival when treated by targeted therapy.

METHODS

We searched databases, including PubMed, EMBASE and MEDLINE, up to August 16, 2022, supplemented by a reference screening. The attributes from the selected studies were categorized into three groups: outcomes, costs, and process. We also calculated the relative importance of attributes and WTP for survival whenever possible. The purpose, respondents, explanation, findings, significance (PREFS) checklist was used to evaluate the quality of the included DCE studies.

RESULTS

The review identified 34 eligible studies from 13 countries covering 14 cancers, such as breast, ovarian, kidney, prostate, and skin cancers. It also reveals a rising trend of DCEs on this topic, as most studies were published after 2018. We found that patients placed higher weights on the outcome (e.g., overall survival) and cost attributes than on process attributes. On average, patients were willing to pay $561 (95% confidence interval [CI]: $415-$758) and $716 (95% CI $524-$958) out-of-pocket for a 1-month increase in progression-free survival and overall survival, respectively. PREFS scores of the 34 studies ranged from 2 to 4, with a mean of 3.38 (SD: 0.65), suggesting a reasonable quality based on the checklist. However, most studies (n = 32, 94%) did not assess the impact of non-responses on the results.

CONCLUSIONS

This is the first systematic review focusing on patient preferences for targeted cancer therapy. We showcased novel approaches for evidence synthesis of DCE results, especially the attribute relative importance and WTP. The results may inform stakeholders about patient preferences toward targeted therapy and their WTP estimates. More studies with improved study design and quality are warranted to generate more robust evidence to assist decision making.

Estimation of the utilities of attributes of intravenous iron infusion treatment for patients with iron-deficiency anemia: a conjoint analysis in Japan

AIMS

This study aimed to estimate the utility values of the factors associated with intravenous (IV) iron infusion treatment in Japanese patients with iron-deficiency anemia (IDA) from the patient's perspective.

METHODS

A conjoint analysis based on online survey data was conducted in May 2022 (registration number: UMIN000047756). Respondents in the main group were selected from the general population (20-69 years). Seven attributes were included in this analysis: waiting time before receiving an IV infusion, pain due to IV infusion, time required for IV infusion, number of IV infusions required to achieve treatment effect, frequency of hypophosphatemia as a side effect of IV infusion, frequency of skin discoloration by the drug solution, and out-of-pocket cost for one IV infusion visit. The utility of each level for each attribute was estimated using a logistic regression model as the difference from non-treatment.

RESULTS

The responses were collected from 1,026 people. The utilities decreased with higher pain (-0.189 for pain level of 3.05), longer time for the IV infusion (-0.145 or -0.212 for 5 or 15 min), greater number of required IV infusions (-0.773 or -1.899 for 3 or 25 times), and higher frequency of adverse events (-0.373 or -0.385 for 13.0% or 14.2% of hypophosphatemia incidences; -0.502 for 2.3% of skin discoloration per one infusion).

LIMITATIONS

Since this study was based on an online survey, the reliability of the results depends on whether the respondents understood the questions accurately. Further, the respondents were selected from an online panel, potentially affecting finding generalizability.

CONCLUSIONS

The results indicate that utilities differ depending on the factors associated with IV iron infusion treatment. The findings of this study may be useful for informing future treatments or improving current treatment regimes, supporting the achievement of complete iron repletion for Japanese patients with IDA.

General population preferences for cancer care in health systems of China: A discrete choice experiment

BACKGROUND

The increasing incidence of cancer in China has posed considerable challenges for cancer care delivery systems. This study aimed to determine the general population's preferences for cancer care, to provide evidence for building a people-centered integrated cancer care system.

METHODS

We conducted a discrete choice experiment that involved 1,200 participants in Shandong Province. Individuals were asked to choose between cancer care scenarios based on the type and level of hospitals, with various out-of-pocket costs, waiting time, and contact working in the hospitals. Individual preferences, willingness to pay, and uptake rate were estimated using a mixed-logit model.

RESULTS

This study included 848 respondents (70.67%). Respondents preferred county hospitals with shorter hospitalization waiting times and contact working in hospitals. Compared to the reference levels, the three highest willingness to pay values were related to waiting time for hospitalization (¥97,857.69-¥145411.70-¥212,992.10/$14512.70-$21565.16-$31587.61), followed by the county-level hospital (¥32,545.13/$4826.58). The preferences of the different groups of respondents were diverse. Based on a county-level general hospital with contact in the hospital, 50% out-of-pocket costs and a waiting time of 15 days, the probability of seeking baseline care was 0.37. Reducing the waiting time from 15 to 7, 3, and 0 days, increases the probability of choosing a county-level hospital from 0.37 to 0.58, 0.64, and 0.70, respectively.

CONCLUSIONS

This study suggests that there is a substantial interest in attending county-level hospitals and that reducing hospitalization waiting time is the most effective measure to increase the probability of seeking cancer care in county-level hospitals.

Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review

BACKGROUND AND OBJECTIVE

Systematic reviews of discrete-choice experiments (DCEs) are being increasingly conducted. The objective of this scoping review was to identify and describe the methodologies that have been used to summarize results across DCEs.

METHODS

We searched the electronic databases MEDLINE and EMBASE from inception to March 18, 2021, to identify English-language systematic reviews of patient preferences that included at least two DCEs and extracted data on attribute importance. The methods used to summarize results across DCEs were classified into narrative, semi-quantitative, and quantitative (meta-analytic) approaches and compared. Approaches to characterize the extent of preference heterogeneity were also described.

RESULTS

From 7362 unique records, we identified 54 eligible reviews from 2010 to Mar 2021, across a broad range of health conditions. Most (83%) used a narrative approach to summarize findings of DCEs, often citing differences in studies as the reason for not formally pooling findings. Semi-quantitative approaches included summarizing the frequency of the most important attributes, the frequency of attribute statistical significance, or tabulated comparisons of attribute importance for each pair of attributes. One review conducted a meta-analysis using the maximum acceptable risk. While reviews often commented on the heterogeneity of patient preferences, few (6%) addressed this systematically across studies.

CONCLUSION

While not commonly used, several semi-quantitative and one quantitative approach for synthesizing results of DCEs were identified, which may be useful for generating summary estimates across DCEs when appropriate. Further work is needed to assess the validity and usefulness of these approaches.

Patient Preferences for Benefits, Risks, and Administration Route of Hypomethylating Agents in Myelodysplastic Syndromes

INTRODUCTION/BACKGROUND

Therapy with infused or injected hypomethylating agents (HMAs) may lead to higher treatment administration burden (ie, local reaction, visit frequency and duration) vs. oral HMAs.   OBJECTIVES: To reveal preferences of US and Canadian patients with myelodysplastic syndromes (MDS) for HMAs' benefits, risks, and administration burden through an online discrete-choice experiment (DCE).

MATERIALS AND METHODS

Choice of DCE attributes and survey development were informed by literature review and interviews with clinicians, MDS patients, and caregivers serving as patient proxies, and patient advocacy groups (PAGs) representatives, including from AAMAC, AAMDS, and MDSF. DCE choice tasks were analyzed using random parameter logit models. Survey patients were recruited by the PAGs via their networks. To understand key preference drivers and how much patients were willing to trade between attributes, we calculated each attribute's relative attribute importance (RAI) and marginal rates of substitution.

RESULTS

One hundred eighty-four respondents (including 158 patients; mean age, 67.2 years; male, 50.5%; White, 50.5%; US residents, 88%) completed the survey. MDS risk was low (34.8%), high (30.9%), or unknown (34.2%). RAI (in decreasing order) was as follows: risk of AML (40%), fatigue level (33%), number of visits (12%), mode of administration (6%), visit duration (5%), and administration frequency (4%). Assuming the same risk of AML transformation or level of fatigue, most respondents (76.6%) were predicted to switch to an oral pill if it were available to them.

CONCLUSION

Given equivalent effectiveness across HMAs, patients' preferences for HMA administration method should be considered in treatment decision-making to minimize burden and facilitate adherence.

Willingness-to-pay for cancer treatment and outcome: a systematic review

BACKGROUND

Understanding patient preferences in cancer management is essential for shared decision-making. Patient or societal willingness-to-pay (WTP) for desired outcomes in cancer management represents their preferences and values of these outcomes.

OBJECTIVE

The aim of this systematic review is to critically evaluate how current literature has addressed WTP in relation to cancer treatment and achievement of outcomes.

METHODS

Seven databases were searched from inception until 2 March 2021 to include studies with primary data of WTP values for cancer treatments or achievement of outcomes that were elicited using stated preference methods.

RESULTS

Fifty-four studies were included in this review. All studies were published after year 2000 and more than 90% of the studies were conducted in high-income countries. Sample size of the studies ranged from 35 to 2040, with patient being the most studied population. There was a near even distribution between studies using contingent valuation and discrete choice experiment. Based on the included studies, the highest WTP values were for a quality-adjusted life year (QALY) ($11,498-$589,822), followed by 1-year survival ($3-$198,576), quality of life (QoL) improvement ($5531-$139,499), and pain reduction ($79-$94,662). Current empirical evidence suggested that improvement in QoL and pain reduction had comparable weights to survival in cancer management.

CONCLUSION

This systematic review provides a summary on stated preference studies that elicited patient preferences via WTP and summarised their respective values. Respondents in this review had comparable WTP for 1-year survival and QoL, suggesting that improvement in QoL should be emphasised together with survival in cancer management.

Preference for endoscopic screening of upper gastrointestinal cancer among Chinese rural residents: a discrete choice experiment

Background

The low uptake rate of upper gastrointestinal cancer (UGC) screening substantially reduces the benefits of endoscopic screening. This study aimed to obtain residents’ UGC screening preferences to optimize screening strategies and increase the participation rate.

Methods

A discrete choice experiment (DCE) was conducted to assess UGC screening preferences of 1,000 rural residents aged 40 to 70 years from three countries (Linqu, Feicheng, and Dongchangfu) of Shandong province in China. The DCE questionnaire was developed from five attributes: out-of-pocket costs, screening interval, regular follow-up for precancerous lesions, mortality reduction, and screening technique. The data from the DCE were analyzed within the framework of random utility theory using a mixed logit model.

Results

In total, 926 of 959 residents who responded were analyzed. The mean (SD) age was 57.32 (7.22) years. The five attributes all significantly affected residents’ preferences, and the painless endoscopy had the most important impact (β=2.927, P<0.01), followed by screening interval of every year (β = 1.184, P<0.01). Policy analyses indicated that switching the screening technique to painless endoscopy would increase the participation rate up to 89.84% (95%CI: 87.04%-92.63%). Residents aged 40–49, with a history of cancer, with a family income of more than ¥30,000 were more likely to participate in a screening.

Conclusions

UGC screening implementation should consider residents’ preferences to maximize the screening participation rate. Resources permitting, we can carry out the optimal screening program with shorter screening intervals, lower out-of-pocket costs, less pain, follow-up, and higher UGC mortality reduction.

Health preference research: An overview for medical radiation sciences

Understanding preferences of key stakeholders including patients, clinicians and policymakers can inform clinical practice, workforce and policy. It also allows health services to evaluate existing clinical practices, policies and procedures. This commentary aims to introduce medical radiation professionals to health preference research by describing commonly used preference methodologies, with a particular focus on discrete choice experiments. Relevant examples of health preference research will be highlighted to demonstrate the application of health preference research in medical radiation sciences.

Patient Preferences for Treatment Outcomes in Oncology with a Focus on the Older Patient-A Systematic Review

Simple Summary

In oncology, treatment outcomes can be competing, which means that one treatment could benefit one outcome, like survival, and negatively influence another, like independence. The choice of treatment therefore depends on the patient’s preference for outcomes, which needs to be assessed explicitly. Especially in older patients, patient preferences are important. Our systematic review summarizes all studies that assessed patient preferences for various treatment outcome categories. A total of 28 studies with 4374 patients were included, of which only six studies included mostly older patients. Although quality of life was only included in half of the studies, overall quality of life (79%) was most frequently prioritized as highest or second highest, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), treatment response (50%), and absence of transient short-term side effects (16%). In shared decision-making, these results can be used by healthcare professionals to better tailor the information provision and treatment recommendations to the individual patient.

Abstract

For physicians, it is important to know which treatment outcomes are prioritized overall by older patients with cancer, since this will help them to tailor the amount of information and treatment recommendations. Older patients might prioritize other outcomes than younger patients. Our objective is to summarize which outcomes matter most to older patients with cancer. A systematic review was conducted, in which we searched Embase and Medline on 22 December 2020. Studies were eligible if they reported some form of prioritization of outcome categories relative to each other in patients with all types of cancer and if they included at least three outcome categories. Subsequently, for each study, the highest or second-highest outcome category was identified and presented in relation to the number of studies that included that outcome category. An adapted Newcastle–Ottawa Scale was used to assess the risk of bias. In total, 4374 patients were asked for their priorities in 28 studies that were included. Only six of these studies had a population with a median age above 70. Of all the studies, 79% identified quality of life as the highest or second-highest priority, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), and treatment response (50%). Absence of transient short-term side effects was prioritized in 16%. The studies were heterogeneous considering age, cancer type, and treatment settings. Overall, quality of life, overall survival, progression- and disease-free survival, and severe and persistent side effects of treatment are the outcomes that receive the highest priority on a group level when patients with cancer need to make trade-offs in oncologic treatment decisions.

Patient preferences for breast cancer treatments: a discrete choice experiment in France, Ireland, Poland, Spain

Aim: To understand breast cancer patients' trade-offs when choosing treatments and to identify the most important treatment attributes which drive decisions. Materials & methods: A discrete choice experiment was conducted in France, Ireland, Poland and Spain. Progression-free survival, febrile neutropenia, pain, functional well-being and out-of-pocket payment were the treatment attributes. Results: 371 patients were willing to pay €6896 per year for 1 additional year of progression-free survival, €17,288 per year for perfect functional well-being and €15,138 for one pain-free year. Patients are willing to trade off progression-free survival months for better functional abilities and less pain. Conclusion: Patient preferences should be considered by regulatory agencies, reimbursement bodies, payors and clinicians for best treatment choices for the individuals.

Improving personalized treatment decision-making for older adults with cancer: The necessity of eliciting patient preferences

We have a fundamental responsibility as oncologists to deliver personalized care tailored to each individual. In addition to an unprecedented expansion of treatment options for patients, recent advances in molecular profiling and functional assessments have greatly improved our ability to predict risks, benefits, and outcomes for older patients with cancer.^1,2 Molecular profiling identifies genomic abnormalities and allows oncologists to predict response to cancer therapy. Functional assessment such as a geriatric assessment allows oncologists to predict risks of treatment-related morbidity and mortality. Ongoing efforts aim to further refine our ability to predict outcomes for individuals by identifying relevant clinically meaningful thresholds (e.g., cut-off values for variant allele frequency, fitness criteria for a specific disease). Complex risk prediction models are now routinely used to integrate these data and produce personalized estimates of survival and response to cancer therapies, helping oncologists to provide personalized, high-quality care. Assessments of the disease and function of the patient, however, are insufficient to guide personalized treatment recommendations—we must understand patient preferences for treatment outcomes in order to tailor treatment.

Patient Preference Studies for Advanced Prostate Cancer Treatment Along the Medical Product Life Cycle: Systematic Literature Review

BACKGROUND

Patient preference studies can inform decision-making across all stages of the medical product life cycle (MPLC). The treatment landscape for advanced prostate cancer (APC) treatment has substantially changed in recent years. However, the most patient-relevant aspects of APC treatment remain unclear. This systematic review of patient preference studies in APC aimed to summarize the evidence on patient preferences and patient-relevant aspects of APC treatments, and to evaluate the potential contribution of existing studies to decision-making within the respective stages of the MPLC.

METHODS

We searched MEDLINE and EMBASE for studies evaluating patient preferences related to APC treatment up to October 2020. Two reviewers independently performed screening, data extraction and quality assessment in duplicate. We descriptively summarized the findings and analyzed the studies regarding their contribution within the MPLC using an analytical framework.

RESULTS

Seven quantitative preference studies were included. One study each was conducted in the marketing approval and the health technology assessment (HTA) and reimbursement stage, and five were conducted in the post-marketing stage of the MPLC. While almost all stated to inform clinical practice, the specific contributions to clinical decision-making remained unclear for almost all studies. Evaluated attributes related to benefits, harms, and other treatment-related aspects and their relative importance varied relevantly between studies. All studies were judged of high quality overall, but some methodological issues regarding sample selection and the definition of patient-relevant treatment attributes were identified.

CONCLUSION

The most patient-relevant aspects regarding the benefits and harms of APC treatment are not yet established, and it remains unclear which APC treatments are preferred by patients. Findings from this study highlight the importance of transparent reporting and discussion of study findings according to their aims and with respect to their stage within the MPLC. Future research may benefit from using the MPLC framework for analyzing or determining the aims and design of patient preference studies.

Stated Preference Research in Reproductive and Maternal Healthcare Services in Sub-Saharan Africa: A Systematic Review

BACKGROUND AND OBJECTIVE

Understanding the preferred choice of healthcare service attributes for women is important, particularly in sub-Saharan Africa where resources are constrained and improving reproductive and maternal healthcare services is of high importance. The aim of this systematic review was to identify attributes of reproductive and maternal healthcare services in sub-Saharan Africa, and summarise the factors shaping women's preference to access these services.

METHODS

PubMed/MEDLINE, EMBASE, PsycINFO and CINAHL were searched from the inception of each database until March 2021 for published studies reporting stated preferences for maternal and reproductive healthcare services in sub-Saharan Africa. Data were extracted using a predefined extraction sheet, and the quality of reporting of included studies was assessed using PREFS and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) checklists. The Donabedian's model for quality of healthcare was used to categorise attributes into "structure", "process" and "outcome".

RESULTS

A total of 13 studies (12 discrete choice experiments and one best-worst scaling study) were included. Attributes related to the structure of healthcare services (e.g. availability of technical equipment, medications or diagnostic facilities, having good system conditions) are often included within the studies, and are considered the most important by women. Of the three dimensions of quality of healthcare, the outcome dimension was the least frequently studied across studies. All except one study explored women's preferences and the participants were pregnant women, women aged 18-49 years who had recently given birth and women living with human immunodeficiency virus. The included studies came from five sub-Saharan Africa countries of which Ethiopia and South Africa each contributed three studies. All of the included studies reported on the purpose, findings and significance of the study. However, none of the studies reported on the differences between responders vs non-responders. Nine of the 13 studies employed the ISPOR checklist and reported each item including the research question and the methods for identifying and selecting attributes, and provided the findings in sufficient detail and clarity.

CONCLUSIONS

Aligning maternal healthcare service provision with women's preferences may foster client-oriented services and thereby improve service uptake and better patient outcomes.

Attributes Used for Cancer Screening Discrete Choice Experiments: A Systematic Review

BACKGROUND

Evidence from discrete choice experiments can be used to enrich understanding of preferences, inform the (re)design of screening programmes and/or improve communication within public campaigns about the benefits and harms of screening. However, reviews of screening discrete choice experiments highlight significant discrepancies between stated choices and real choices, particularly regarding willingness to undergo cancer screening. The identification and selection of attributes and associated levels is a fundamental component of designing a discrete choice experiment. Misspecification or misinterpretation of attributes may lead to non-compensatory behaviours, attribute non-attendance and responses that lack external validity.

OBJECTIVES

We aimed to synthesise evidence on attribute development, alongside an in-depth review of included attributes and methodological challenges, to provide a resource for researchers undertaking future studies in cancer screening.

METHODS

A systematic review was conducted to identify discrete choice experiments estimating preferences towards cancer screening, dated between 1990 and December 2020. Data were synthesised narratively. In-depth analysis of attributes led to classification into four categories: test specific, service delivery, outcomes and monetary. Attribute significance and relative importance were also analysed. The International Society for Pharmacoeconomics and Outcomes Research conjoint analysis checklist was used to assess the quality of reporting.

RESULTS

Forty-nine studies were included at full text. They covered a range of cancer sites: over half (26/49) examined colorectal screening. Most studies elicited general public preferences (34/49). In total, 280 attributes were included, 90% (252/280) of which were significant. Overall, test sensitivity and mortality reduction were most frequently found to be the most important to respondents.

CONCLUSIONS

Improvements in reporting the identification, selection and construction of attributes used within cancer screening discrete choice experiments are needed. This review also highlights the importance of considering the complexity of choice tasks when considering risk information or compound attributes. Patient and public involvement and stakeholder engagement are recommended to optimise understanding of unavoidably complex choice tasks throughout the design process. To ensure quality and maximise comparability across studies, further research is needed to develop a risk-of-bias measure for discrete choice experiments.

Patients Prioritize a Low-volume Bowel Preparation in Colitis-associated Colorectal Cancer Surveillance: A Discrete Choice Experiment

BACKGROUND

Patients with inflammatory bowel disease (IBD) undergo surveillance colonoscopies at fixed intervals to reduce the risk of colorectal cancer (CRC). Taking patients' preferences for determining surveillance strategies into account could improve adherence and patient satisfaction. This study aimed to determine patient preferences for CRC surveillance in IBD.

METHODS

We conducted a web-based, multicenter, discrete choice experiment among adult IBD patients with an indication for surveillance. Individuals were repeatedly asked to choose between 3 hypothetical surveillance scenarios. The choice tasks were based on bowel preparation (0.3-4 L), CRC risk reduction (8% to 1%-6%), and interval (1-10 years). Attribute importance scores, trade-offs, and willingness to participate were calculated using a multinomial logit model. Latent class analysis was used to identify subgroups with similar preferences.

RESULTS

In total, 310 of 386 sent out questionnaires were completed and included in the study. Bowel preparation was prioritized (attribute importance score 40.5%) over surveillance interval and CRC risk reduction (31.1% and 28.4%, respectively). Maximal CRC risk reduction, low-volume bowel preparation (0.3 L laxative with 2 L clear liquid) with 2-year surveillance was the most preferred combination. Three subgroups were identified: a "surveillance avoidant," "CRC risk avoidant," and "surveillance preferring" groups. Membership was correlated with age, educational level, perceived CRC risk, the burden of bowel preparation, and colonoscopies.

CONCLUSIONS

Inflammatory bowel disease patients consider bowel preparation as the most important element in acceptance of CRC surveillance. Heterogeneity in preferences was explained by 3 latent subgroups. These findings may help to develop an individualized endoscopic surveillance strategy in IBD patients.

Vaccine preferences driving vaccine-decision making of different target groups: a systematic review of choice-based experiments

BACKGROUND

Choice-based experiments have been increasingly used to elicit preferences for vaccines and vaccination programs. This study aims to systematically identify and examine choice-based experiments assessing (differences in) vaccine preferences of vaccinees, representatives and health advisors.

METHODS

Five electronic databases were searched on choice-based conjoint analysis studies or discrete choice experiments capturing vaccine preferences of children, adolescents, parents, adults and healthcare professionals for attributes of vaccines or vaccine settings up to September 2020. Data was extracted using a standardized form covering all important aspects of choice experiments. A quality assessment was used to assess the validity of studies. Attributes were categorized into outcome, process, cost and other. The importance of attributes was assessed by the frequency of reporting and statistical significance. Results were compared between high-quality studies and lower-quality studies.

RESULTS

A total of 42 studies were included, with the majority conducted in high-income countries after 2010 (resp. n = 34 and n = 37). Preferences of representatives were studied in nearly half of the studies (47.6%), followed by vaccinees (35.7%) and health advisors (9.5%). Sixteen high-quality studies passed the quality assessment. Outcome- and cost- related attributes such as vaccine effectiveness, vaccine risk, cost and protection duration were most often statistically significant across both target groups, with vaccine effectiveness being the most important. Risks associated with vaccination, such as side effects, were more often statistically significant in studies targeting vaccinees, while cost-related attributes were more often statistically significant in studies of representatives. Process-related attributes such as vaccine accessibility and time were least important across both target groups.

CONCLUSION

To our knowledge, this is the first systematic review in which vaccine preferences of different target groups were assessed and compared. The same attributes were most important for vaccine decisions of vaccinees and representatives, with only minor differences in level of evidence for vaccine risk and cost. Future research on vaccine preferences of health advisors and/or among target groups in low-resource settings would give insight into the generalizability of current findings.

Navigating the high costs of cancer care: opportunities for patient engagement

Over the past decade, the financial burden of cancer care on patients and their families has garnered increased attention. Many of the potential solutions have focused on system-level interventions such as adopting value-based payment models and negotiating drug prices; less consideration has been given to actions at the patient level to address cancer care costs. We argue that it is imperative to develop and support patient-level strategies that engage patients and consider their preferences, values and individual circumstances. Opportunities to meet these aims and improve the economic experience of patients in oncology are discussed, including: shared decision-making and communication, financial navigation and treatment planning, digital technology and alternative care pathways, and value-based insurance design.

Democracy, Culture and Cancer Patients' Willingness to Pay for Healthcare Services: A Meta-analysis

Cancer is one of the leading causes of death globally and expenditure associated with cancer is quite high. Efficient resource allocation needs information on economic evaluations of healthcare interventions. The purposes of the study are to provide a comprehensive overview of cancer patients’ willingness to pay (WTP) for healthcare services and to investigate the influence of democracies, culture dimensions, and other factors on WTP. A meta-analysis was conducted using PubMed, Scopus, and Google Scholar to identify all studies of stated preference approach to estimate cancer patients’ WTP healthcare services. A set of criteria was constructed for selecting relevant studies. A total of 79 studies were related to selection criteria and held sufficient information for the purposes of meta-analysis. A total of 393 estimates of WTP from 79 healthcare valuation studies were pooled to identify the links between WTP and influential factors. The findings suggest that values of benefits in healthcare services are higher in more democratic nations, but they are lower in cultural traits that are stronger indulgence and uncertainty avoidance. Further, the types of cancer matter. Compared to breast cancer, WTP is higher for skin cancer, yet lower for liver cancer and lymphoma. A higher national income and public health expenditure increase WTP for healthcare services, while a higher death rate by cancer leads to lower values of healthcare benefits.

Precision medicine and the principle of equal treatment: a conjoint analysis

BACKGROUND

In precision medicine biomarkers stratify patients into groups that are offered different treatments, but this may conflict with the principle of equal treatment. While some patient characteristics are seen as relevant for unequal treatment and others not, it is known that they all may influence treatment decisions. How biomarkers influence these decisions is not known, nor is their ethical relevance well discussed.

METHODS

We distributed an email survey designed to elicit treatment preferences from Norwegian doctors working with cancer patients. In a forced-choice conjoint analysis pairs of hypothetical patients were presented, and we calculated the average marginal component effect of seven individual patient characteristics, to estimate how each of them influence doctors' priority-setting decisions.

RESULTS

A positive biomarker status increased the probability of being allocated the new drug, while older age, severe comorbidity and reduced physical function reduced the probability. Importantly, sex, education level and smoking status had no significant influence on the decision.

CONCLUSION

Biomarker status is perceived as relevant for priority setting decisions, alongside more well-known patient characteristics like age, physical function and comorbidity. Based on our results, we discuss a framework that can help clarify whether biomarker status should be seen as an ethically acceptable factor for providing unequal treatment to patients with the same disease.

Clinical assessment of chemotherapy-induced peripheral neuropathy: a discrete choice experiment of patient preferences

PURPOSE

Up to 40% of cancer patients treated with neurotoxic chemotherapies experience chemotherapy-induced peripheral neuropathy (CIPN). Currently, there is no gold standard assessment tool for CIPN and there is little information in the literature on patient preferences for such assessments. This study aims to address this gap by identifying the features of a CIPN assessment tool that cancer patients value.

METHODS

An online discrete choice experiment (DCE) survey of neurotoxic chemotherapy-treated patients was implemented. Respondents completed 8 choice questions each. In each choice question, they chose between two hypothetical CIPN assessment tools, each described by six attributes: impact on quality of life; level of nerve damage detected; questionnaire length; physical tests involved; impact on clinic time; impact on care.

RESULTS

The survey was completed by 117 respondents who had a range of cancers of which breast cancer was the most common. Respondents favoured an assessment tool that includes a physical test and that asks about impact on quality of life. Respondents were strongly opposed to clinicians, alone, deciding how the results of a CIPN assessment might influence their care especially their chemotherapy treatment. They were concerned about small changes in their CIPN, independent of clinical relevance. Respondents were willing to add half an hour to the usual clinic time to accommodate the CIPN assessment.

CONCLUSION

The findings of this DCE will assist clinicians in choosing an assessment tool for CIPN that is satisfactory to both clinician and patient.

Eliciting Preferences for HIV Prevention Technologies: A Systematic Review

Background

Many human immunodeficiency virus (HIV) prevention technologies (pre-exposure prophylaxis, microbicides, vaccines) are available or in development. Preference elicitation methods provide insight into client preferences that may be used to optimize products and services. Given increased utilization of such methods in HIV prevention, this article identifies and reviews these methods and synthesizes their application to HIV prevention technologies.

Methods

In May 2020, we systematically searched peer-reviewed literature in PubMed, CINAHL, and Web of Science for studies employing quantitative preference elicitation methods to measure preferences for HIV prevention technologies among populations of any age, sex, or location. Quality assessment used an existing checklist (PREFS) and a novel adaptation of the Newcastle–Ottawa Scale (PROSPERO #CRD42018087027).

Results

We screened 5022 titles and abstracts, reviewed 318 full texts, and included 84 studies. Common methods employed were discrete-choice experiment (33%), conjoint analysis (25%), and willingness-to-participate/try/accept (21%). Studies were conducted in 25 countries and had a mean of 768 participants (range = 26–7176), two-thirds of them male. Common HIV prevention technologies included pre-exposure prophylaxis (23%), voluntary testing and counseling (19%), HIV self-testing (17%), vaccines (15%), and topical microbicides (9%). Most attributes focused on product design (side effects, frequency), service design (provider type, location), acceptability or willingness to accept/pay; results are summarized in these categories, by prevention type. Mean quality-adapted Newcastle–Ottawa Scale score was 4.5/8 (standard deviation = 2.1) and mean PREFS scores was 3.47/5 (standard deviation = 0.81).

Conclusions

This review synthesizes extant literature on quantitative measurement of preferences for HIV prevention technologies. This can enable practitioners to improve prevention products and interventions, and ultimately reduce HIV incidence.

Patient preferences and predicted relative uptake for targeted therapies in metastatic colorectal cancer: a discrete choice experiment

OBJECTIVE

Ras wild-type metastatic colorectal cancers (mCRC) may be treated with anti-vascular endothelial growth factor (VEGF) or anti-epidermal growth factor receptor (EGFR) agents. We aim to estimate patients' preferences for mCRC treatment and relative importance of cost, efficacy improvement, avoidance of side effects and therapy convenience, and relative uptake between profiles that resemble Bevacizumab (anti-VEGF) and Cetuximab (anti-EGFR), two commonly prescribed mCRC targeted therapies.

METHODS

Discrete choice experiment (DCE) was administered to English- or Chinese-speaking Stage 2 or 3 colon cancer patients at the National Cancer Centre Singapore. DCE attributes comprise progression-free survival (PFS), severity of acne-like skin rashes, severity of bleeding, out-of-pocket cost per month and frequency of drug administration. Mixed logit model was used to calculate preference weights for all attribute levels. Subgroup analyses were conducted by interacting attribute levels with selected respondent characteristics. Relative uptake rates for various medication scenarios were studied.

RESULTS

169 respondents aged 61.5 ± 10.5 years completed the survey. They placed the greatest weight on cost, followed by bleeding and skin rashes, then PFS and finally frequency of drug administration. This was similarly observed in the subgroup analyses. A scenario with shorter PFS but less severe side effects has a slightly higher relative uptake at 55%. One quarter of respondents reported that they would not take the treatment they preferred in the choice task.

CONCLUSION

Patients were willing to trade off some degree of efficacy to avoid certain severity of side effects. It is therefore crucial for patients and physicians to discuss patients' preferences and circumstances to understand which attributes are more important, as well as patients' views on the trade-offs between treatment benefits and risks.

Patient Preferences for Breast Cancer Treatment Interventions: A Systematic Review of Discrete Choice Experiments

INTRODUCTION

Understanding how patients value different characteristics of an intervention and make trade-offs in a therapy choice context with potential benefit and possible harm may result in decisions for which a better reflected value is delivered. This systematic review summarizes patient preferences for breast cancer treatments elicited by discrete choice experiments (DCE).

METHODOLOGY

The electronic databases MEDLINE (PubMed), Scopus, PsycINFO, CINAHL, LILACS, and Web of Science were last searched on May 9, 2019 without restrictions regarding language and time of publication. Original studies reporting patient preferences related to breast cancer treatment (surgery, radiotherapy, endocrine therapy, chemotherapy or palliative care) elicited by DCE were eligible. A narrative synthesis of the relative importance and trade-offs of the treatment attributes of each study was reported.

RESULTS

Five studies conducted in Japan, Thailand, USA and the Netherlands with 146-298 participants evaluated preferences regarding chemotherapy regimens for advanced/metastatic disease, and breast reconstruction after mastectomy. The attributes with major relative effects on preferences were greater survival, better aesthetic result of the surgery, and lower side effects and complication rates. Patients would trade a better aesthetic result to minimize complication rates, and, in advanced disease, the willingness to pay was greater for gains in survival and to avoid some severe adverse events.

CONCLUSION

Despite the relative lack of evidence in this specific context, our review shows that breast cancer patients naturally value greater benefit and, in scenarios of advanced and metastatic disease, are willing to face risks of some side effects for gains in survival.

The importance of understanding patient and physician preferences for psoriasis treatment characteristics: a systematic review of discrete-choice experiments

Introduction: Treatment adherence continues to be a major challenge in psoriasis. Patient preference studies, especially discrete-choice experiments, are gaining popularity to gather insights into patient reported treatment outcomes. This systematic literature review aimed to critically assess all discrete choice experiments exploring patients' and physicians' preferences for psoriasis treatment characteristics.Methods: PubMed and EMBASE databases were searched using keywords "psoriasis" and "preferences" to identify relevant literature. Discrete-choice experiments conducted in French or English from the year 2000 onwards, that focused on evaluating psoriasis treatment preferences in patients and/or physicians, were included. The relative importance of treatment attributes was assessed and studies were critically appraised using validated checklists.Results: Out of 987 articles identified, 25 articles fulfilled the inclusion criteria. Overall, patients and physicians prioritize efficacy-specific outcomes. Patients are shown to place greater importance to process attributes when compared to physicians, especially route and location of administration. Physicians focus primarily of efficacy attributes, however when the top two attributes are considered, safety outcomes increasingly become considered important. Of the studies, 60% conducted subgroup analysis, of which many reported associations between specific patient characteristics and preferences. Factors such as age, disease severity, and duration of condition significantly affected preferences for treatment attributes.Conclusions: This review provides insight into the types of attributes that patients and physicians value most, and therefore can help improve shared decision-making. The findings of this study also encourage regulatory agencies to continue integrating patient preferences in their decision-making.

What Matters to Potential Patients in Chemotherapy Service Delivery? A Discrete Choice Experiment

INTRODUCTION

Designing and funding chemotherapy care to meet patient expectations is challenging. Issues including convenience, outcomes, cost, and continuity of care are all potentially important and the appropriate trade-off between them is not clear. Regions with significant geographic spread and concentration of care in metropolitan areas pose a particular problem as ensuring low-cost convenient care is potentially difficult. However, the relative value of different aspects of chemotherapy are as yet unknown. The objective of this work is to quantify the relative value of different aspects of chemotherapy service delivery in an older Australian general population sample.

METHODS

A discrete choice experiment was administered in an older Australian general population sample without cancer. The survey approach asks a series of hypothetical choice tasks and allows estimation of the relative value of different aspects of care. Analysis considered the average respondent, and then also explored the level of preference divergence across the population.

RESULTS

One thousand and sixty-two individuals provided data and were included in the analysis. There was a strong population preference for home-based chemotherapy, for follow-up by a specialist, for psycho-social support, and for low cost care.

CONCLUSION

These strong population preferences should be considered when designing chemotherapy care. This poses a significant challenge, both logistically and financially. However, this information can help policy makers identify the components of good value care.

Patients' preferences for the treatment of anxiety and depressive disorders: a systematic review of discrete choice experiments

Introduction: Matching available mental health services to patients' preferences, as well as is possible, may increase patient satisfaction and help increase adherence to certain treatments. This study systematically reviewed discrete-choice experiments (DCEs) on patients' preferences for treatment of depressive and anxiety disorders and assessed the relative importance of outcome, process and cost attributes to improve the current and future treatment situations.Methods: A systematic literature review using PubMed, EMBASE and PsychInfo was conducted to retrieve all relevant DCEs published up to 15 April 2019, eliciting patient preferences for treatment of depressive and anxiety disorders. Data were extracted using an extraction sheet, and attributes were classified into outcome, process and cost attributes. The relative importance of each attribute category was then assessed, and studies were evaluated according to their reporting quality, using validated checklists.Results: A total of 11 studies were identified for qualitative analysis. All studies received an aggregate score of 4 on the five-point PREFS checklist (Purpose, Respondents, Explanation, Findings and Significance). Most attributes were outcome related (52%), followed by process (42%) and cost (6%) attributes. Comparing the attribute categories and summing up the relative importance weights for each category within the studies, process attributes were ranked as most important, followed by cost and outcome attributes.Conclusions: In this systematic review, heterogeneous results were observed regarding the inclusion and framing of different attributes across studies. Overall, patients considered process and cost attributes to be more important than outcome attributes. Outcomes and process are important for patients, and thus clinicians should be particularly aware of this and take patients' preferences into account, although the attribute importance may depend on chosen attributes and related levels.

Preferences heterogeneity of health care utilization of community residents in China: a stated preference discrete choice experiment

Background

To tackle the issue with the low usage of primary healthcare service in China, it is essential to align resource distribution with the preferences of the community residents. There are few academic researches for describing residents’ perceived characteristics of healthcare services in China. This study aims to investigate the preferences of healthcare services utilization in community residents and explore the heterogeneity. The findings will be useful for the policy makers to take targeted measures to tailor the provision of healthcare services.

Methods

The face-to-face interviews and surveys were conducted to elicit four key attributes (care provider; mode of services; cost; travel time) of the preference from community residents for healthcare utilization. A rational test was presented first to confirm the consistency, and then 16 pairs of choice tasks with 12 sociodemographic items were given to the respondents. Two hypothetical options for each set, without an opt-out option, were presented in each choice task. The latent class analysis (LCA) was used to analyse the data.

Results

Two thousand one hundred sixty respondents from 36 communities in 6 cities were recruited for our study. 2019 (93.47%) respondents completed valid discrete choice experiment (DCE) questionnaires. The LCA results suggested that four groups of similar preferences were identified. The first group (27.29%) labelled as “Comprehensive consideration” had an even preference of all four attributes. The second group (37.79%) labelled as “Price-driven” preferred low-price healthcare services. The third group labelled as “Near distance” showed a clear preference for seeking healthcare services nearby. The fourth group (34.18%) labelled as “Quality seeker” preferred the healthcare service provided by experts. Willingness to pay (WTP) results showed that people were willing to accept CNY202.12($29.37) for Traditional Chinese Medicine (TCM) services and willing to pay CNY604.31($87.81) for the service provided by experts.

Conclusions

Our study qualitatively measures the distinct preferences for healthcare utilization in community residents in China. The results suggest that the care provider, mode of services, travel time and cost should be considered in priority setting decisions. The study, however, reveals substantial disagreement in opinion of TCM between different population subgroups.