Measuring the preferences of injectable opioid agonist treatment (iOAT) clients: Development of a person-centered scale (best-worst scaling)

Client preferences for the design and delivery of injectable opioid agonist treatment services: Results from a best-worst scaling task

BACKGROUND AND AIMS

Clinical trials support injectable opioid agonist treatment (iOAT) for individuals with opioid use disorder (OUD) for whom other pharmacological management approaches are not well-suited. However, despite substantial research indicating that person-centered care improves engagement, retention and health outcomes for individuals with OUD, structural requirements (e.g. drug policies) often dictate how iOAT must be delivered, regardless of client preferences. This study aimed to quantify clients' iOAT delivery preferences to improve client engagement and retention.

DESIGN

Cross-sectional preference elicitation survey.

SETTING

Metro Vancouver, British Columbia, Canada.

PARTICIPANTS

124 current and former iOAT clients.

MEASUREMENTS

Participants completed a demographic questionnaire package and an interviewer-led preference elicitation survey (case 2 best-worst scaling task). Latent class analysis was used to identify distinct preference groups and explore demographic differences between preference groups.

FINDINGS

Most participants (n = 100; 81%) were current iOAT clients. Latent class analysis identified two distinct groups of client preferences: (1) autonomous decision-makers (n = 73; 59%) and (2) shared decision-makers (n = 51; 41%). These groups had different preferences for how medication type and dosage were selected. Both groups prioritized access to take-home medication (i.e. carries), the ability to set their own schedule, receiving iOAT in a space they like and having other services available at iOAT clinics. Compared with shared decision-makers, fewer autonomous decision-makers identified as a cis-male/man and reported flexible preferences.

CONCLUSIONS

Injectable opioid agonist treatment (iOAT) clients surveyed in Vancouver, Canada, appear to prefer greater autonomy than they currently have in choosing OAT medication type, dosage and treatment schedule.

Drivers of consumer food choices of multinational corporations' products over local foods in Ghana: a maximum difference scaling study

INTRODUCTION

The fundamental transformation of food systems and retail environments in low-income countries is influencing consumers' food choices and dietary habits in unfavourable directions through the consumption of highly processed, energy-dense foods, predominantly manufactured by multinational food corporations. This study aims to identify the principal factors driving consumers' preference for multinational foods over local foods in the urban Accra region of Ghana.

METHOD

This cross-sectional survey involving a random sample of 200 consumers conducted in March/April 2023 using interviewer-administered questionnaires employed a maximum difference scaling approach to investigate the drivers of urban Ghanaian consumer food choices for multinational food corporations' products over local foods. The maximum difference scaling modelling analysis utilized in this study identifies the primary drivers of multinational food corporations' product preferences and the associated trade-offs.

RESULT

The study discovered that food quality and safe packaging, perceived healthiness, taste and flavour, and nutritional value were the most significant factors driving consumer preference for multinational food corporations' products over local foods in Ghana. The criterion food quality and safe packaging had the significantly highest utility than all other attributes in terms of consumer preference for products/meals from multinational food corporations over local foods.

CONCLUSION

The results of this study provide significant contributions to the existing body of research, as previous studies have not identified these factors as primary drivers of multinational food products. Public health authorities and nutritionists can use the study's findings to implement targeted quality assurance measures in local markets and to address the drivers in health education campaigns.

Perceived antimicrobial dispensing practices in medicine outlets in Ghana: A maximum difference experiment design

INTRODUCTION

Antimicrobials are consumed among patients globally, but in developing and middle-income countries, these drugs can be obtained without a prescription from pharmacies and licensed drug stores due to inadequate regulation in the pharmaceutical sector. This study aimed to assess antimicrobial dispensing practices in medicine sales outlets (i.e., pharmacies and licensed drug stores) to provide quantitative evidence for policy discussions to enhance patient safety and care quality in Ghana's pharmaceutical industry.

METHOD

The data for this study were obtained from a cross-sectional survey conducted in the Greater Accra region between July and August 2022. The survey was conducted through interviewer-administered questionnaires, and 200 staff members from medicine sales outlets were randomly selected using a two-stage cluster and random sampling technique. The maximum difference experiment model, rooted in random utility theory, was used to analyze their antimicrobial dispensing practices.

RESULT

We found that medicine sales outlet staffs were highly concerned about following the drug act and not dispensing antimicrobials without a prescription, and usually refer a patient to get a prescription from a doctor if the patient has complications (like high fever, generalized malaise, fatigue as symptoms, sinusitis). Stronger concerns were also observed for medicine outlet staff not dispensing antimicrobials without a prescription if the patient is pediatric or geriatric with a severe infection. They also evaluated patients and dispensed antimicrobials based on symptoms, not their age or gender. However, they tended not to dispense antibiotics if the patient had a mild fever and requested it without a prescription.

CONCLUSION

Our results provide insight into the need for a national surveillance system for monitoring antimicrobial prescribing and dispensing practices at medicine sales outlets. Therefore, the selection of antimicrobials for treating infectious diseases may be informed by evidence-based antimicrobial prescribing and dispensing surveillance data and will help policymakers to know the pattern of commonly consumed antimicrobials in the medicine sales outlets.