Discrete choice experiment to determine preferences of decision-makers in healthcare for different formats of rapid reviews

Assessing willingness to pay for children's COVID-19 vaccination among healthcare providers and users using a theory-based discrete choice experiment

Improving vaccine coverage among children is crucial to prevent the long-term consequences of COVID-19 infections and the emergence of resistant COVID-19 variants, especially in resource-scarce settings. This study determined factors influencing the willingness to take and pay for COVID-19 vaccine for children among Vietnamese healthcare professionals and the public. A Theory-Based discrete-choice experiment was focused on a different topic related to vaccines, including the COVID-19 vaccine for children, Monkeypox, the adult COVID-19 booster, the HIV vaccine, and a potential future pandemic. The recruitment period was from April to August 2022, and a total of 5700 Vietnamese individuals aged 16 and above from various regions of the country participated in the study. The data for the sub-study on the COVID-19 vaccination for children was completed by 891 of these participants. Most participants agreed on vaccination for all children. Among healthcare professionals it was 76.2% and 69.3% for the general population. Healthcare professionals were the main source of vaccine information (70.7%). Payment options of 50%, 100%, and full subsidy were the most popular. Concerns about vaccine characteristics were associated with lower acceptance among healthcare professionals and the general public. The burden of historical medical expenses negatively correlated with willingness to pay for vaccination, while service satisfaction positively correlated with willingness to pay. To develop an effective vaccination program among children in Vietnam, providing accurate information and satisfying vaccine services, primarily through knowledgeable and professional healthcare providers, can improve the willingness to vaccinate and pay for the COVID-19 vaccine.

Understanding the preferences of young women in self-sampling interventions for sexually transmitted infection diagnosis: a discrete choice experimental protocol

INTRODUCTION

Sexually transmitted infections (STIs) are a significant public health concern globally, particularly affecting young women. Early diagnosis and treatment are essential to reducing or stopping the continuous spread of infections and the development of associated complications. Syndromic management, which is commonly used for STIs, presents several barriers, particularly for young women. This protocol is for a study that aims to understand young women's preferences for a self-sampling intervention for STI diagnosis by using a discrete choice experiment (DCE). The DCE will be conducted among young women residing in underserved urban communities in eThekwini Metropolitan Municipality in KwaZulu-Natal, South Africa.

METHODS AND ANALYSIS

The following attributes of a self-sampling intervention were identified through a Nominal Group Technique: accessibility, education, confidentiality, self-sampling method, youth-friendliness and cost. A pilot study involving 20 participants was conducted to refine the DCE questionnaire. A total of 196 young women from underserved communities will be recruited. The participants will be sampled from communities, stratified by settlement type and socioeconomic status. Data will be analysed using the multinomial logit model and mixed logit model to assess preferences and heterogeneity.

ETHICS AND DISSEMINATION

The study was approved by the Faculty of Health Sciences Research Ethics Committee of the University of Pretoria. The study findings have the potential to inform policies for STI treatment and management to align healthcare services with user preferences. This can improve STI healthcare access for young women in underserved communities. Ethical approval was obtained, and results will be disseminated through peer-reviewed journals and health conferences.

General practitioner preferences for telehealth consultations in Australia: a pilot survey and discrete choice experiment

AIM

To identify and quantify general practitioner (GP) preferences related to service attributes of clinical consultations, including telehealth consultations, in Australia.

BACKGROUND

GPs have been increasingly using telehealth to deliver patient care since the onset of the 2019 coronavirus disease (COVID-19) pandemic. GP preferences for telehealth service models will play an important role in the uptake and sustainability of telehealth services post-pandemic.

METHODS

An online survey was used to ask GPs general telehealth questions and have them complete a discrete choice experiment (DCE). The DCE elicited GP preferences for various service attributes of telehealth (telephone and videoconference) consultations. The DCE investigated five service attributes, including consultation mode, consultation purpose, consultation length, quality of care and rapport, and patient co-payment. Participants were presented with eight choice sets, each containing three options to choose from. Descriptive statistics was used, and mixed logit models were used to estimate and analyse the DCE data.

FINDINGS

A total of 60 GPs fully completed the survey. Previous telehealth experiences impacted direct preferences towards telehealth consultations across clinical presentations, although in-person modes were generally favoured (in approximately 70% of all scenarios). The DCE results lacked statistical significance which demonstrated undiscernible differences between GP preferences for some service attributes. However, it was found that GPs prefer to provide a consultation with good quality care and rapport (P < 002). GPs would also prefer to provide care to their patients rather than decline a consultation due to consultation mode, length or purpose (P < 0.0001). Based on the findings, GPs value the ability to provide high-quality care and develop rapport during a clinical consultation. This highlights the importance of recognising value-based care for future policy reforms, to ensure continued adoption and sustainability of GP telehealth services in Australia.

Clinical Practice Guideline for Best Practice Management of Pediatric Patients by Chiropractors: Results of a Delphi Consensus Process

Objective: To build upon existing recommendations on best practices for chiropractic management of children by conducting a formal consensus process and best evidence synthesis. Design: Best practice guide based on recommendations from current best available evidence and formal consensus of a panel of experienced practitioners, consumers, and experts for chiropractic management of pediatric patients. Methods: Synthesis of results of a literature search to inform the development of recommendations from a multidisciplinary steering committee, including experts in pediatrics, followed by a formal Delphi panel consensus process. Results: The consensus process was conducted June to August 2022. All 60 panelists completed the process and reached at least 80% consensus on all recommendations after three Delphi rounds. Recommendations for best practices for chiropractic care for children addressed these aspects of the clinical encounter: patient communication, including informed consent; appropriate clinical history, including health habits; appropriate physical examination procedures; red flags/contraindications to chiropractic care and/or spinal manipulation; aspects of chiropractic management of pediatric patients, including infants; modifications of spinal manipulation and other manual procedures for pediatric patients; appropriate referral and comanagement; and appropriate health promotion and disease prevention practices. Conclusion: This set of recommendations represents a general framework for an evidence-informed and reasonable approach to the management of pediatric patients by chiropractors.

Assessment of women's treatment preferences for vasomotor symptoms due to menopause

BACKGROUND

Several therapies for vasomotor symptoms (VMS) due to menopause are available. Treatment preferences and willingness-to-pay for VMS treatment among US women with VMS were evaluated.

METHODS

An online survey of women with perimenopausal or postmenopausal VMS was conducted (3/15/21-4/23/21). A discrete choice experiment quantified the impact of 7 treatment attributes on VMS treatment choice: VMS frequency/severity reduction, sleep improvement, risk of breast cancer/cardiovascular events in 6 years, risk of short-term side effects, and out-of-pocket costs. Preference weights (PWs) with 95% confidence intervals (CIs) were estimated and reported.

RESULTS

Among 467 women, 86.5% and 87.8% reported moderate to very severe VMS and sleep problems during the preceding month, respectively. Sleep improvement (PW: 0.843; 95% CI: 0.721, 0.965) and reduction in VMS frequency (PW: 0.658; 95% CI: 0.520, 0.796) and severity (PW: 0.628; 95% CI: 0.500, 0.756) most influenced treatment preference; risk of cardiovascular events (PW: 0.150; 95% CI: 0.069, 0.232) or breast cancer (PW: 0.401; 95% CI: 0.306, 0.496) in 6 years had lesser effect. Willingness-to-pay was an additional $35-$46/month for substantially improved sleep, 80% VMS frequency reduction, and reduction from severe to mild VMS.

CONCLUSIONS

Sleep improvement and reductions in VMS frequency/severity were the most important treatment attributes.

Patient Decision Making in Anterior Cruciate Ligament Reconstruction: A Discrete Choice Experiment Examining Graft Preference

Background

Bone-patellar tendon-bone (BTB) and hamstring autografts are the most common grafts used for anterior cruciate ligament (ACL) reconstruction. Patient preferences should be accounted for as a part of shared decision making.

Purpose/Hypothesis

The purpose of this study was to perform a discrete choice experiment that evaluated patient preferences toward ACL autografts. We hypothesized that there would be no difference in patient preferences between groups.

Study Design

Cross-sectional study.

Methods

Patients aged 18 to 25 years who underwent shoulder arthroscopy at a single institution between 2013 and 2019 were included in the study as a proxy for healthy controls. Patients with a history of ACL tear were excluded. A discrete choice experiment was developed from a literature search and used the following data points as they pertain to BTB or hamstring autograft: risk of developing a significant complication, return-to-play rate, risk of anterior knee pain with kneeling, and risk of additional surgery due to graft failure. Included patients completed a custom survey in which they were asked to choose between "surgery A" (hamstring) and "surgery B" (BTB).

Results

A total of 107 participants were included in the analysis. Of these participants, 39 (36.5%) chose surgery A (hamstring) and 68 (63.6%) chose surgery B (BTB). When comparing the hamstring group with the BTB group, there was no significant difference in age, sex, body mass index, race, level of education, or employment status. However, 80.5% of self-reported athletes preferred BTB (P = .008). When controlling for age, sex, and body mass index, patients in the BTB group were more likely to rate return to sport (risk ratio [RR] = 1.49 [95% CI, 1.18-1.98]; P = .001) and the risk of requiring additional surgery due to graft failure (RR = 1.26 [95% CI, 1.02-1.58]; P = .037) as highly important. Conversely, they were less likely than patients in the hamstring group to rate pain while kneeling (RR = 0.65 [95% CI, 0.98-1.05]; P < .001) and complication risk (RR = 0.75 [95% CI, 0.59-0.94]; P = .013) as important.

Conclusion

The study hypothesis was rejected, as patient values did affect ACL graft choice preference. Utilizing patient-selected values in a quantifiable way can benefit the shared decision-making process before ACL reconstruction.

Modular literature review: a novel systematic search and review method to support priority setting in health policy and practice

BACKGROUND

There is an unmet need for review methods to support priority-setting, policy-making and strategic planning when a wide variety of interventions from differing disciplines may have the potential to impact a health outcome of interest. This article describes a Modular Literature Review, a novel systematic search and review method that employs systematic search strategies together with a hierarchy-based appraisal and synthesis of the resulting evidence.

METHODS

We designed the Modular Review to examine the effects of 43 interventions on a health problem of global significance. Using the PICOS (Population, Intervention, Comparison, Outcome, Study design) framework, we developed a single four-module search template in which population, comparison and outcome modules were the same for each search and the intervention module was different for each of the 43 interventions. A series of literature searches were performed in five databases, followed by screening, extraction and analysis of data. "ES documents", source documents for effect size (ES) estimates, were systematically identified based on a hierarchy of evidence. The evidence was categorised according to the likely effect on the outcome and presented in a standardised format with quantitative effect estimates, meta-analyses and narrative reporting. We compared the Modular Review to other review methods in health research for its strengths and limitations.

RESULTS

The Modular Review method was used to review the impact of 46 antenatal interventions on four specified birth outcomes within 12 months. A total of 61,279 records were found; 35,244 were screened by title-abstract. Six thousand two hundred seventy-two full articles were reviewed against the inclusion criteria resulting in 365 eligible articles.

CONCLUSIONS

The Modular Review preserves principles that have traditionally been important to systematic reviews but can address multiple research questions simultaneously. The result is an accessible, reliable answer to the question of "what works?". Thus, it is a well-suited literature review method to support prioritisation, decisions and planning to implement an agenda for health improvement.