What do Australian patients with inflammatory arthritis value in treatment? A discrete choice experiment

What benefit-risk trade-offs are acceptable to rheumatoid arthritis patients during treatment selection? Evidence from a multicountry choice experiment

OBJECTIVE

Understanding preferences of patients with rheumatoid arthritis (RA) can facilitate tailored patient-centric care. This study elicited trade-offs that patients with RA were willing to make during treatment selection.

METHODS

Patients with RA completed an online discrete choice experiment, consisting of a series of choices between hypothetical treatments. Treatment attributes were selected based on literature review and qualitative patient interviews. Eligible patients were ≥18 years old, diagnosed with RA, receiving systemic disease-modifying antirheumatic drug therapy, and residents of Europe or USA. Male patients were oversampled for subgroup analyses. Data were analysed using a correlated mixed logit model.

RESULTS

Of 2090 participants, 42% were female; mean age was 45.2 years (range 18-83). Estimated effects were significant for all attributes (p<0.001) but varied between patients. Average relative attribute importance scores revealed different priorities (p<0.001) between males and females. While reducing pain and negative effect on semen parameters was most important to males, females were most concerned by risk of blood clots and serious infections. No single attribute explained treatment preferences by more than 30%. Preferences were also affected by patients' age: patients aged 18-44 years placed less importance on frequency and mode of treatment administration (p<0.05) than older age groups. Patients were willing to accept higher risk of serious infections and blood clots in exchange for improvements in pain, daily activities or administration convenience. However, acceptable trade-offs varied between patients (p<0.05).

CONCLUSION

Treatment preferences of patients with RA were individual-specific, but driven by benefits and risks, with no single attribute dominating the decision-making.

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.

Evaluation of the hospital care quality perceived by patients with immune-mediated inflammatory diseases from the pharmacy service. SACVINFA study

WHAT IS KNOWN AND OBJECTIVE

Immune-mediated inflammatory diseases (IMIDs) are a group of chronic and highly disabling diseases. The objective is to evaluate the satisfaction with the health care received by patients with the most prevalent IMIDs in Spain: inflammatory bowel disease (IBD), psoriasis (Ps) psoriatic arthritis (PsA), rheumatoid arthritis (RA) and spondyloarthropathies (SpAs), and to determine the factors that influence patient satisfaction.

METHODS

This was an observational, cross-sectional, multicentre study in a real-world evidence context conducted in the Pharmacy Service in four hospital centres of the Community of Madrid that belong to the National Health System. The study included adult patients diagnosed with an IMID who had attended the Pharmacy Service at least three times. The patients were grouped according to the main IMID. Health care satisfaction was evaluated using the chronic patient experience assessment (IEXPAC) questionnaire. The responses to IEXPAC are grouped into three factors: productive interactions, new relational model and patient self-management, with a total score from 0 (worst) to 10 (best experience). Health-related quality of life (HRQoL) was also evaluated using the EQ-5D-5L questionnaire, and pharmacological adherence was evaluated through the Morisky-Green test.

RESULTS AND DISCUSSION

A total of 578 patients were analysed (IBD = 25.3%; Ps = 19.7%; SpAs = 18.7%; RA = 18.5%; PsA = 17.8%). The mean age (SD) was 49.8 (12.3) years and 50.7% were male. The average score (SD) for the total IEXPAC sample was 6.6 (1.9). RA was the IMID with the lowest score, at 5.83 (2.0), significantly lower than the scores of Ps (SD) [7.01 (1.7); p = 0.003], IBD [6.83 (1, 9); p = 0.012] and SpAs [6.80 (1.6); p = 0.001]. Productive interactions (SD) [8.5 (1.8)] and patient self-management (SD) [7.3 (2.3)] were the factors with the highest scores, and the new relational model had the lowest score (SD) [3.2 (2.7)]. Male gender, a longer time interval between medication administrations and a higher HRQoL were correlated with better patient satisfaction. Current biological therapy (according to the Anatomical Chemical classification system) also had a significant influence; patients treated with tumour necrosis factor inhibitors and interleukin inhibitors showed greater satisfaction than those treated with selective immunosuppressants.

WHAT IS NEW AND CONCLUSION

The IEXPAC results show high general satisfaction with care quality reported by patients with IMIDs treated in the Pharmacy Service. However, there are areas of improvement in care quality specially health professional-patient communication, such as increasing access to information, and promoting and facilitating relationships with patients in similar conditions.

Social distancing and store choice in times of a pandemic

Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.

Systematic review of quantitative preference studies of treatments for rheumatoid arthritis among patients and at-risk populations

Treatments used for rheumatoid arthritis (RA) are under investigation for their efficacy to prevent RA in at risk groups. It is therefore important to understand treatment preferences of those at risk. We systematically reviewed quantitative preference studies of drugs to treat, or prevent RA, to inform the design of further studies and trials of RA prevention. Stated preference studies for RA treatment or prevention were identified through a search of five databases. Study characteristics and results were extracted, and the relative importance of different types of treatment attributes was compared across populations. Twenty three studies were included 20 of RA treatments (18 of patients; 2 of the general public) and 3 prevention studies with first-degree relatives (FDRs). Benefits, risks, administration method and cost (when included) were important determinants of treatment choice. A benefit was more important than a risk attribute in half of the studies of RA treatment that included a benefit attribute and 2/3 studies of RA prevention. There was variability in the relative importance of attributes across the few prevention studies. In studies with non-patient participants, attributes describing confidence in treatment effectiveness/safety were more important determinants of choice than in studies with patients. Most preference studies relating to RA are of treatments for established RA. Few studies examine preferences for treatments to prevent RA. Given intense research focus on RA prevention, additional preference studies in this context are needed. Variation in treatment preferences across different populations is not well understood and direct comparisons are needed.

Dynamics of Patient-Based Benefit-Risk Assessment of Medicines in Chronic Diseases: A Systematic Review

BACKGROUND

A critical gap exits in understanding the dynamics of patient-based benefit-risk assessment (BRA) of medicines in chronic diseases during the disease journey.

PURPOSE

To systematically review and synthesize current evidence on the changes of patients' preferences about the benefits and risks of medicines during their disease journey including the influence of disease duration and severity, and previous treatment experience.

METHODS

A systematic review of studies identified in PubMed and Embase, from inception to November 2020, was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Articles were eligible if they analyzed adult patient-based BRA of medicines with a chronic disease, based on at least one of the pre-specified dimensions: disease severity, disease duration, or previous treatment experience.

RESULTS

A total of 26,228 articles were identified and 105 were eligible for inclusion. Of these, 85 detected a variation in patient-based BRA of medicines with at least one of the pre-specified criteria. Patients with higher disease severity and more treatment experience have increased risk tolerance. It remains inconclusive whether disease duration directly affects the relative importance of a patient's preference.

CONCLUSION

Factors important for patients' BRA of their medicines during a chronic disease journey vary more with their clinical situation and previous treatment experience than with time since diagnosis. Due to the importance of these factors on patients' perspectives and potential impact on their decision-making and eventually their clinical outcomes, there is a need for more studies to assess the dynamics of patients' BRA in every disease.

Understanding the Treatment Preferences of People Living with Schizophrenia in Australia; A Patient Value Mapping Study

PURPOSE

To examine the treatment and long-term outcome preferences for people living with schizophrenia.

PATIENTS AND METHODS

Sixty-six Australian adults, living with schizophrenia completed a novel online survey with six sections: Demographic characteristics; Disease history; Quality-of-life; Patient support programmes; Discrete Choice Experiment, and Best-Worst Scaling exercise.

RESULTS

Participants indicated that they preferred to be involved in treatment decision with their doctor. A minority of participants reported having been previously involved in a patient support programme (28.8%) and only one in six participants had a National Disability Insurance Scheme (NDIS) package (16.7%) with over a third of participants indicating that they were ineligible (37.9%). Participants' average quality-of-life score was 60%.

CONCLUSION

Recent hospitalisation influenced the relative importance of treatment attributes, with effectiveness on hearing voices being the most important treatment attribute. The most important long-term goals were having a stable place to live, being independent, and physical health. People with schizophrenia care about their long-term functional recovery outcomes, rating symptom control and independence as their highest priority. They want to be part of the treatment conversation with their doctors. Therefore, psychiatrists are encouraged to use shared decision-making to establish the treatment course that best aligns with individuals' long-term goals.

A Systematic Review of Discrete Choice Experiment Studies in Rheumatoid Arthritis Biological Medicines

Objective:

Rheumatoid arthritis is a chronic disease with various clinical characteristics. The introduction of biological drugs has enhanced the efficacy and increased diversity of treatment options. Considering the patients’ preferences in decision-making about treatment can improve their adherence. A discrete choice experiment is a type of conjoint method that can elicit preferences in more realistic scenarios. This article reviewed discrete choice experiment (DCE) studies to extract which attributes and levels were included in surveys. In addition, we focused on the process of designing surveys and the method that they used. Method: PubMed, EMBASE, Web of Science, Scopus, Ovid (Medline) and ProQuest were systematically searched in order to find studies that evaluated rheumatoid arthritis patients’ preferences about biological medicines. Studies published in peer-reviewed journals between 1/1/1990 and 12/31/2019 were included. The included studies were analyzed using a narrative synthesis method and descriptive statistics.

Results:

A total of 7124 studies were initially found. After deleting irrelevant and duplicate studies, 15 studies were included. The most common attributes that were used in surveys were efficacy, adverse effect, route of administration, frequency of administration, and cost. Most studies used a literature review for developing attributes and levels. The median number of included attributes and levels were seven and three, respectively. Eight studies explained their experimental design while seven studies did not. Conditional logit and mixed logit were the most common methods for modeling reciprocally.

Conclusion:

Several aspects of DCE studies investigating biological drugs in RA were assessed. Explaining the sample size, experimental design, and qualitative work for developing attributes can improve this type of study.

Patients' preferences for health insurance coverage of new technologies for treating chronic diseases in China: a discrete choice experiment

OBJECTIVES

Our study aimed to inform insurance decision-making in China by investigating patients' preferences for insurance coverage of new technologies for treating chronic diseases.

DESIGN

We identified six attributes of new medical technologies for treating chronic diseases and used Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). After conducting the DCE, we analysed the data by mixed logit regression to examine patient-reported preferences for each attribute.

SETTING

The DCE was conducted with patients in six tertiary hospitals from four cities in Jiangsu province.

PARTICIPANTS

Patients aged 18 years or older with a history of diabetes or hypertension and taking medications regularly for more than 1 year were recruited (n=408).

RESULTS

The technology attributes regarding expected gains in health outcomes from the treatment, high likelihood of effective treatment and low incidence of serious adverse events were significant, positive predictors of choice by the study patients (p<0.01). The out-of-pocket cost was a significant, negative attribute for the entire study sample (β = -0.258, p<0.01) and for the patients with Urban-Rural Residents Basic Medical Insurance (URRBMI) (β = -0.511, p<0.01), but not for all the patients with Urban Employees Basic Medical Insurance (UEBMI) (β = -0.071, p>0.05). The severity of target disease was valued by patients with lower EQ-5D-5L index value as well as URRBMI enrollees.

CONCLUSIONS

Patients highly valued the health benefits and risks of new technologies, which were closely linked to their feelings of disease and perceptions of health-related quality of life. However, there existed heterogeneity in preferences between URRBMI and UEBMI patients. Further efforts should be made to reduce the gap between insurance schemes and make safe and cost-effective new technologies as a priority for health insurance reimbursement.