Discrete choice experiments in pharmacy: a review of the literature

Preferences for a community pharmacy-based pre-exposure prophylaxis (PrEP) delivery program: A discrete choice experiment

BACKGROUND

Community pharmacies are ideal venues for pre-exposure prophylaxis (PrEP) delivery. Pharmacists and pharmacy-based PrEP delivery programs have the potential to improve access.

OBJECTIVES

This study elicited preferences for attributes of a hypothetical community pharmacy-based PrEP delivery program among US men who have sex with men (MSM) and assessed predictors of their preferences.

METHODS

Data were collected via a cross-sectional anonymous survey of US MSM, who were aged 18-65 years, not transgender, reported HIV status negative/unknown, and PrEP eligible. A discrete choice experiment was conducted with seven attributes of a pharmacy-based PrEP program: initial PrEP eligibility screening mode, location for human immunodeficiency virus (HIV) tests, timing for HIV test results, PrEP decision-making style, location of PrEP consultations, PrEP medication fill method, and mode for ongoing monitoring. Latent class analysis was performed to analyze preference heterogeneity. Multinomial logistic regression assessed predictors of latent class membership.

RESULTS

This study included 390 MSM. Time to receive HIV test results was the most important attribute; receiving results on the same day had the highest preference. The next most important attribute was PrEP screening mode; online questionnaires were the most preferred. Respondents' preferences clustered into four classes: 1) "Same day results and online monitoring" (SDROM) group (63.1%), 2) "Consumerist decision-making" (CDM) group (16.2%), 3) "Self-screening (online questionnaire)" (SOQ) group (11.3%), and 4) "Same day results preferring" (SDRP) group (9.5%). Hispanic MSM (adjusted odds ratio [aOR] =0.31, 95% confidence interval [CI] [0.12-0.84], P = 0.020), MSM of other races (aOR=0.38, 95% CI [0.15-0.97], P = 0.044) vs. White MSM; and those having a sexually transmitted disease recently (aOR=0.37, 95% CI [0.16-0.85], P = 0.018), had lower odds of being in the CDM group vs. the SDROM group.

CONCLUSIONS

MSM's preferences for a pharmacy-based PrEP program are heterogeneous. Same day results for HIV tests and online PrEP screening are key components when designing a community pharmacy-based PrEP program.

Patient Preferences for Pharmacy Services: A Systematic Review of Studies Based on Discrete Choice Experiments

BACKGROUND AND OBJECTIVE

In recent years, the mission of pharmacists has evolved and the model of the caregiver-patient relationship has been challenged by a new patient-centered approach. A challenge to providing personalized care is the assessment of patient preferences. We aimed to systematically identify published discrete choice experiments related to patient preferences for pharmacy services and to assess the quality of the selected articles.

METHODS

A systematic review of the literature was conducted in two databases (PubMed and Embase, until March 2023) according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The quality of the selected articles was assessed according to the International Society for Pharmacoeconomics and Outcomes Research conjoint analysis checklist.

RESULTS

Among the 421 articles identified, 16 published studies were included and analyzed. They were mostly published in pharmaceutical (n = 6), economic (n = 4), and public health (n = 4) journals. Only two articles concerned the field of hospital pharmacy. Only five presented the specific pharmacy service studied: filling of prescriptions, management of symptoms, treatment delivery, and components of pharmacist counseling. Five articles focused on pharmacy services related to a specific disease. None fully fulfilled the International Society for Pharmacoeconomics and Outcomes Research checklist, only partially fulfilled.

CONCLUSIONS

According to the identified studies, cost, time, logistics (organizational criteria), and pharmacists' courtesy and skills were consistently cited as factors influencing patient preferences for pharmacy services. The disclosure of patient preferences is a complex and under-researched topic, especially in the field of pharmacy, but interest is growing. As the mission of pharmacists evolves to bring them closer to patients, the better understanding of patient preferences in pharmacy services will allow for better targeting and better integration of patient profiles in patient management.

Patient preferences and willingness-to-pay for community pharmacy-led Medicare Part D consultation services: A discrete choice experiment

INTRODUCTION

Community pharmacies currently offer Medicare Part D consultation services, often at no-cost. Despite facilitating plan-switching behavior, identifying potential cost-savings, and increasing medication adherence, patient uptake of these services remains low.

OBJECTIVES

To investigate patient preferences for specific service-offering attributes and marginal willingness-to-pay (mWTP) for an enhanced community pharmacy Medicare Part D consultation service.

METHODS

A discrete choice experiment (DCE) guided by the SERVQUAL framework was developed and administered using a national online survey panel. Study participants were English-speaking adults (≥65 years) residing in the United States enrolled in a Medicare Part D or Medicare Advantage plan and had filled a prescription at a community pharmacy within the last 12 months. An orthogonal design resulted in 120 paired-choice tasks distributed equally across 10 survey blocks. Data were analyzed using mixed logit and latent class models.

RESULTS

In total, 540 responses were collected, with the average age of respondents being 71 years. The majority of respondents were females (60%) and reported taking four or more prescription medication (51%). Service attribute levels with the highest utility were: 15-min intervention duration (0.392), discussion of services + a follow-up phone call (0.069), in-person at the pharmacy (0.328), provided by a pharmacist the patient knew (0.578), and no-cost (3.382). The attribute with the largest mWTP value was a service provided by a pharmacist the participant knew ($8.42). Latent class analysis revealed that patient preferences for service attributes significantly differed by gender and difficulty affording prescription medications.

CONCLUSIONS

Quantifying patient preference using discrete choice methodology provides pharmacies with information needed to design service offerings that balance patient preference and sustainability. Pharmacies may consider providing interventions at no-cost to subsets of patients placing high importance on a service cost attribute. Further, patient preference for 15-min interventions may inform Medicare Part D service delivery and facilitate service sustainability.

Will the Public Engage with New Pharmacy Roles? Assessing Future Uptake of a Community Pharmacy Health Check Using a Discrete Choice Experiment

BACKGROUND

Pharmacists are increasingly providing more clinically orientated services that focus on enhancing patient care and health promotion. However, little is known about how acceptable this is to the public. This study explored public preferences for a community pharmacy-based health check for cardiovascular disease (CVD).

METHODS

A convenience sample of 423 individuals was recruited (from a community pharmacy, a dental practice, a shopping centre, a university campus and a sports centre) to complete a discrete choice experiment (DCE) survey administered face to face on a tablet. The DCE included six attributes: day of the week (weekday or weekends); way of accessing the service (walk-in and wait or by appointment); provider of health check (trainee pharmacist, pharmacist or nurse); duration of health check (30 or 45 min); follow-up phone call (no, yes and within 3 months); and cost (included to estimate the monetary value of health checks). Experimental design methods were used to create 12 choice tasks describing different health check services. Mixed logit (MXL) was used to analyse response data.

RESULTS

Respondents had a preference for a community pharmacy-based CVD health check over no health check. They preferred a service provided (i) at the weekend; (ii) by appointment; (iii) by a nurse; (iv) for 30 min and (v) with follow-up after 3 months. Respondents were willing to pay £50 for this health check.

CONCLUSION

Findings affirm the public's acceptance and value of a pharmacy-led CVD health check. The findings can inform pharmacy-based screening services before they are introduced, guide new service design and support resource allocation decisions.

A Robust Method for Sample Preparation of Gastrointestinal Stromal Tumour for LC/MS Untargeted Metabolomics

Gastrointestinal stromal tumour has already been well explored at the genome level; however, little is known about metabolic processes occurring in the sarcoma. Sample preparation is a crucial step in untargeted metabolomics workflow, highly affecting the metabolome coverage and the quality of the results. In this study, four liquid-liquid extraction methods for the isolation of endogenous compounds from gastrointestinal stromal tumours were compared and evaluated. The protocols covered two-step or stepwise extraction with methyl-tert-butyl ether (MTBE) or dichloromethane. The extracts were subjected to LC-MS analysis by the application of reversed-phase and hydrophilic interaction liquid chromatography to enable the separation and detection of both polar and nonpolar analytes. The extraction methods were compared in terms of efficiency (total number of detected metabolites) and reproducibility. The method was based on the stepwise extraction with MTBE, methanol, and water proved to be the most reproducible, and thus, its robustness to fluctuations in experimental conditions was assessed employing Plackett–Burman design and hierarchical modelling. While most studied factors had no effect on the metabolite abundance, the highest coefficient value was observed for the volume of MTBE added during extraction. Herein, we demonstrate the application and the feasibility of the selected protocol for the analysis of gastrointestinal stromal tumour samples. The method selected could be considered as a reference for the best characterization of underlying molecular changes associated with complex tissue extracts of GIST.

Preferences for pharmacist services to enhance medication management among people with diabetes in Indonesia: A discrete choice experiment

OBJECTIVES

To elicit patients' preferences for pharmacist services that can enhance medication management among people with diabetes in Indonesia.

METHODS

A discrete choice experiment (DCE) among 833 respondents with diabetes in 57 community health centers (CHCs) and three hospitals in Surabaya, Indonesia. Consultation was the baseline service. Four attributes of consultation and two attributes of additional services were used in the DCE profiles based on literature and expert opinion. The DCE choice sets generated were partially balanced and partially without overlap. Random effect logistic regression was used in the analysis.

RESULTS

Respondents preferred a shorter duration of consultation and flexible access to the pharmacist offering the consultation. A private consultation room and lower copayment (fee) for services were also preferred. Respondents with experience in getting medication information from pharmacists, preferred to make an appointment for the consultation. Total monthly income and experience with pharmacist services influenced preferences for copayments.

CONCLUSION

Differences in patients' preferences identified in the study provide information on pharmacist services that meet patients' expectations and contribute to improve medication management among people with diabetes.

PRACTICE IMPLICATION

This study provides insight into evaluating and designing pharmacist services in accordance with the preferences of people with diabetes in Indonesia.

Identifying New Zealand Public Preferences for Pharmacist Prescribers in Primary Care: A Discrete Choice Experiment

BACKGROUND AND OBJECTIVE

Given increasing patient populations, general practitioner workforce constraints and the growing demand for health services in New Zealand (NZ), the development and provision of pharmacist prescribing services could be used to improve people's access to medicines. A discrete choice experiment (DCE) was utilised to determine NZ public preferences for pharmacist prescribing services in primary care in NZ.

METHODS

A D-efficient DCE design generated 20 choice questions in four blocks of five questions with three labelled alternatives per choice question. The online DCE used a NZ general public online research panel administered by an external organisation (SurveyEngine). The DCE included six attributes with two attributes each with two levels (location of consultation and consultation type), three levels (type of service and operating hours) and four levels (waiting time and cost).

RESULTS

Nine hundred and twenty-four respondents completed the survey with 4620 observations available for analyses. Respondents preferred pharmacist prescribing services with the following characteristics: optimisation of medicines and changes to only current medicine service types (relative to repeat prescribing); lower consultation costs, shorter waiting times, longer operating hours and consultation by appointment (relative to walk-in and wait clinic).

CONCLUSIONS

Prescribing policy could incorporate these public preferences to help develop accessible and effective primary care prescribing services utilising the skills of pharmacist prescribers to improve and reduce inequities in access to medicines in NZ. These results suggest the NZ public see pharmacists as part of the primary care prescribing team and are willing to utilise them if these services are implemented.

Identifying Community Pharmacist Preferences For Prescribing Services in Primary Care in New Zealand: A Discrete Choice Experiment

OBJECTIVE

Given increasing patient populations, general practitioner (GP) workforce constraints and increasing demand for health services in New Zealand (NZ), the development and provision of pharmacist prescribing services may need to increase to improve people's access to medicines. A discrete choice experiment (DCE) was utilised to determine community pharmacist preferences for prescribing services in primary care in NZ, and to understand how these factors could improve the provision of pharmacist prescribing services.

METHODS

A D-efficient design generated 30 labelled choice questions in three blocks of ten, and three alternatives per choice question. The online DCE was emailed to practising community pharmacists in NZ. The DCE included two attributes with five levels (prescribing model, educational requirements) and three attributes with three levels (location, professional fee, change in income). A mixed multinomial logit model was used to estimate preferences.

RESULTS

A total of 264 respondents completed the survey with 2640 observations for analyses. This DCE found pharmacists preferred pharmacy services with the following characteristics: ability to prescribe using minor ailments and independent prescribing models relative to the pharmacist-only medicines prescribing model; prescribing education by accredited learning modules relative to PGDipClinPharm + PGCertPharmPres; remuneration via a professional fee; and pharmacist prescribing services located in community pharmacies rather than in GP practices.

CONCLUSIONS

Prescribing policy could incorporate these pharmacist preferences to help develop accessible and effective pharmacist prescribing services that not only improve access to medicines, but also address inequity of access to medicines in NZ. These DCE results are encouraging as they signal that the community pharmacists also see themselves and their pharmacies as part of the prescribing team in primary care in NZ.

Clinical decision making involving prescription drug monitoring programs: A factorial, vignette-based study among student pharmacists

OBJECTIVES

Prescription drug monitoring programs (PDMPs) are state-maintained databases that providers may reference when deciding to prescribe or dispense controlled substances. As more states begin to mandate PDMP use at the point of care, it is imperative to assess how pharmacists use PDMP information when determining whether to fill a controlled substance prescription (CSP). The objective of this study was to evaluate which factors affected fourth-year student pharmacists' decision to fill an opioid prescription, their level of confidence in their decision making, and familiarity with the PDMP.

METHODS

We used a 2⁴ factorial design to present a series of text-based vignettes to fourth-year student pharmacists. Each participant received 8 vignettes (5 randomly selected, 3 fixed), representing a hypothetical hydrocodone-acetaminophen combination prescription with varying levels of the following dichotomous factors: doctor shopping, dosage, pharmacy shopping, and concurrent benzodiazepine prescription. Participants were asked to decide whether or not they would fill each of the hypothetical prescriptions they received. A multilevel model was used to measure the association between each of the vignette factors, age, race, sex, experience with PDMP, and the decision to refuse to fill a prescription. Each vignette response served as an independent observation.

RESULTS

A total of 87 participants yielded 696 vignette responses. Participants were significantly more likely to refuse to fill prescriptions with doctor shopping (adjusted odds ratio [aOR] 19.86 [95% CI 10.78-36.58]), pharmacy shopping (6.78 [4.13-11.12]), dosage (1.83 [1.16-2.90]), or if the student pharmacist was of female sex (1.73 [1.02-2.93]). Concomitant benzodiazepine use was not associated with a no-fill decision (1.45 [0.92-2.27]).

CONCLUSION

This study reveals that student pharmacists' decision to fill a prescription is dependent on both prescription characteristics and a patient's CSP history. The importance of PDMP history cannot be downplayed and suggests that PDMP use may be effective in informing patient care decisions. Still, the variability in filling decision highlights the need to teach a formulaic approach to CSP dispensing in colleges of pharmacy.

Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review

BACKGROUND

Economic evidence relating to tobacco control is generally derived from the cost effectiveness of smoking-cessation programs or the economic impact of tobacco-induced disease, based on revealed-preference data. However, empirical estimates from stated-preference data on tobacco users' preferences, smoking behaviour and smoking cessation aids using analytical techniques such as discrete-choice experiments (DCEs) could be important for policy decision making in tobacco control.

OBJECTIVES

Our objective was to review the practice and utility of DCE methodology across nicotine- and tobacco-related issues, particularly smoking and smoking-cessation behaviour, anti-smoking policies and preferences for smoking-cessation aids.

METHODS

We searched the PubMed, MEDLINE and ECONLIT databases for full-text original research articles on tobacco-related issues published between January 2000 and April 2016 that used a DCE method. We summarised the evidence and methodological characteristics of DCEs according to Lancsar and Louviere, 2008.

RESULTS

Our review of the 12 eligible studies showed that DCE methodology was used to elicit smoker preferences and to evaluate tobacco-control policies. The majority of the studies were published in the last 5 years. The areas of application were smoking cessation, smoking behaviour, electronic cigarette use, water-pipe smoking and tobacco packaging. Monetary attributes were the most influential attributes in all studies. The design of the DCEs varied.

CONCLUSION

DCE studies of tobacco-related issues were methodologically consistent with guidelines proposed for conducting health-related DCEs.

Pharmacist's Demand for Optimal Primary Care Service Delivery in a Community Pharmacy: The OPTiPharm Study

BACKGROUND

The US population continues to expand providing the need for primary health care services. Community pharmacies integrated with medicine may provide greater access while providing high quality care.

OBJECTIVE

To gauge pharmacists' demand for primary health care services delivered through community pharmacies.

METHODS

An online survey was administered to determine community pharmacists' preferences for varying primary care services that could be offered in the community pharmacy setting. A Discrete Choice Experiment was employed to show pharmacists competing scenarios with varied primary care service offerings in the community pharmacy setting. Attributes evaluated were operation hours, service provider, medical records, service logistics, physical examinations, point-of-care diagnostic testing, preventative care, and drug prescribing. Respondents chose the scenario most likely to induce switching employment from base pharmacy to one providing advanced services.

RESULTS

The optimal service delivery model from 291 community pharmacists comprised: inclusion of patient prescriptions and health information into the patient's medical record; provision of point of care testing and vital sign, including blood pressure, heart rate and breathing rate, and blood sugar and cholesterol measurement; and pharmacists prescribing (under physician oversight). Pharmacists were 4 times more likely to switch employment from their current pharmacy to their choice for advanced pharmacy services. Pharmacist demand was highest among those with a PharmD, less experience, working >40 hours per week, and in rural areas.

CONCLUSIONS

This study provides empirical support for the model of pharmacists playing a greater role in the provision of primary care health services through community pharmacy settings.

Patient preferences for healthcare delivery through community pharmacy settings in the USA: A discrete choice study

WHAT IS KNOWN AND OBJECTIVE

In order to improve public health, it is necessary to facilitate patients' easy access to affordable high-quality primary health care, and one enhanced approach to do so may be to provide primary healthcare services in the community pharmacy setting. Discrete choice experiments to evaluate patient demand for services in pharmacy are relatively limited and have been hampered by a focus on only a few service alternatives, most focusing on changes in more traditional pharmacy services. The study aim was to gauge patient preferences explicitly for primary healthcare services that could be delivered through community pharmacy settings in the USA, using a very large sample to accommodate multiple service delivery options.

METHODS

An online survey was administered to a total of 9202 adult patients from the general population. A subsequent online survey was administered to 50 payer reimbursement decision-makers. The patient survey included a discrete choice experiment (DCE) which showed competing scenarios describing primary care service offerings. The respondents chose which scenario would be most likely to induce them to switch from their current pharmacy, and an optimal patient primary care service model was derived. The likelihood this model would be reimbursed was then determined in the payer survey.

RESULTS AND DISCUSSION

The final optimal service configuration that would maximize patient preference included the pharmacy: offering appointments to see a healthcare provider in the pharmacy, having access to their full medical record, provide point-of-care diagnostic testing, offer health preventive screening, provide limited physical examinations such as measuring vital signs, and drug prescribing in the pharmacy. The optimal model had the pharmacist as the provider; however, little change in demand was evident if the provider was a nurse-practitioner or physician's assistant. The demand for this optimal model was 2-fold higher (25.5%; 95% Bayesian precision interval (BPI) 23.5%-27.0%) than for a base pharmacy offering minimal primary care services (12.6%; 95% BPI 12.2%-13.2%), and was highest among Hispanic (30.6%; 95% BPI: 25.7%-34.3%) and African American patients (30.7%; 95% BPI: 27.1%-35.2%). In the second reimbursement decision-maker survey, the majority (66%) indicated their organization would be likely to reimburse the services described in the optimal patient model if provided in the pharmacy setting.

WHAT IS NEW AND CONCLUSION

This United States national study provides empirical support for a model of providing primary care services through community pharmacy settings that would increase access, with the potential to improve the public health.

Discrete choice experiments of pharmacy services: a systematic review

Background Two previous systematic reviews have summarised the application of discrete choice experiments to value preferences for pharmacy services. These reviews identified a total of twelve studies and described how discrete choice experiments have been used to value pharmacy services but did not describe or discuss the application of methods used in the design or analysis. Aims (1) To update the most recent systematic review and critically appraise current discrete choice experiments of pharmacy services in line with published reporting criteria and; (2) To provide an overview of key methodological developments in the design and analysis of discrete choice experiments. Methods The review used a comprehensive strategy to identify eligible studies (published between 1990 and 2015) by searching electronic databases for key terms related to discrete choice and best-worst scaling (BWS) experiments. All healthcare choice experiments were then hand-searched for key terms relating to pharmacy. Data were extracted using a published checklist. Results A total of 17 discrete choice experiments eliciting preferences for pharmacy services were identified for inclusion in the review. No BWS studies were identified. The studies elicited preferences from a variety of populations (pharmacists, patients, students) for a range of pharmacy services. Most studies were from a United Kingdom setting, although examples from Europe, Australia and North America were also identified. Discrete choice experiments for pharmacy services tended to include more attributes than non-pharmacy choice experiments. Few studies reported the use of qualitative research methods in the design and interpretation of the experiments (n = 9) or use of new methods of analysis to identify and quantify preference and scale heterogeneity (n = 4). No studies reported the use of Bayesian methods in their experimental design. Conclusion Incorporating more sophisticated methods in the design of pharmacy-related discrete choice experiments could help researchers produce more efficient experiments which are better suited to valuing complex pharmacy services. Pharmacy-related discrete choice experiments could also benefit from more sophisticated analytical techniques such as investigations into scale and preference heterogeneity. Employing these sophisticated methods for both design and analysis could extend the usefulness of discrete choice experiments to inform health and pharmacy policy.

The Role of Qualitative Research Methods in Discrete Choice Experiments

Background. The use of qualitative research (QR) methods is recommended as good practice in discrete choice experiments (DCEs). This study investigated the use and reporting of QR to inform the design and/or interpretation of healthcare-related DCEs and explored the perceived usefulness of such methods. Methods. DCEs were identified from a systematic search of the MEDLINE database. Studies were classified by the quantity of QR reported (none, basic, or extensive). Authors (n = 91) of papers reporting the use of QR were invited to complete an online survey eliciting their views about using the methods. Results. A total of 254 healthcare DCEs were included in the review; of these, 111 (44%) did not report using any qualitative methods; 114 (45%) reported “basic” information; and 29 (11%) reported or cited “extensive” use of qualitative methods. Studies reporting the use of qualitative methods used them to select attributes and/or levels (n = 95; 66%) and/or pilot the DCE survey (n = 26; 18%). Popular qualitative methods included focus groups (n = 63; 44%) and interviews (n = 109; 76%). Forty-four studies (31%) reported the analytical approach, with content (n = 10; 7%) and framework analysis (n = 5; 4%) most commonly reported. The survey identified that all responding authors (n = 50; 100%) found that qualitative methods added value to their DCE study, but many (n = 22; 44%) reported that journals were uninterested in the reporting of QR results. Conclusions. Despite recommendations that QR methods be used alongside DCEs, the use of QR methods is not consistently reported. The lack of reporting risks the inference that QR methods are of little use in DCE research, contradicting practitioners’ assessments. Explicit guidelines would enable more clarity and consistency in reporting, and journals should facilitate such reporting via online supplementary materials.

Managing Minor Ailments; The Public's Preferences for Attributes of Community Pharmacies. A Discrete Choice Experiment

BACKGROUND

Demand for health services continues to rise. Greater use of community pharmacy services instead of medical services for minor ailments could help relieve pressure on healthcare providers in high-cost settings. Community pharmacies are recognised sources of treatment and advice for people wishing to manage these ailments. However, increasing the public's use of pharmacy services may depend on attributes of pharmacies and their staff. This study aimed to determine the general public's relative preferences for community pharmacy attributes using a discrete choice experiment (DCE).

METHOD

A UK-wide DCE survey of the general public was conducted using face-to-face computer-assisted personal interviews. Attributes and levels for the DCE were informed by a literature review and a cohort study of community pharmacy customers. The context for the experiment was a minor ailment scenario describing flu-like symptoms. The DCE choice sets described two hypothetical community pharmacy services; respondents were asked to choose which (if either) of the two pharmacies they would prefer to help them manage symptoms. Data from 1,049 interviews were analysed using an error components logit model. Willingness to pay (WTP), a monetary measure of benefit, was estimated for the different attribute levels.

RESULTS

When seeking help or treatment for flu-like symptoms, respondents most valued a pharmacy service that would improve their understanding and management of symptoms (WTP = £6.28), provided by staff who are trained (WTP (pharmacist) = £2.63: WTP(trained assistant) = £3.22), friendly and approachable (WTP = £3.38). Waiting time, pharmacy location and availability of parking also contributed to respondents' preferences. WTP for a service comprising the best possible combination of attributes and levels was calculated as £55.43.

CONCLUSION

Attributes of a community pharmacy and its staff may influence people's decisions about which pharmacy they would visit to access treatment and advice for minor ailments. In line with the public's preferences, offering community pharmacy services that help people to better understand and manage symptoms, are provided promptly by trained staff who are friendly and approachable, and in a local setting with easy access to parking, has the potential to increase uptake amongst those seeking help to manage minor ailments. In this way it may be possible to shift demand away from high-cost health services and make more efficient use of scarce public resources.

Preferences for the delivery of community pharmacy services to help manage chronic conditions

BACKGROUND

To optimize positive outcomes, the design of new pharmacy services should consider the preferences of consumers with chronic condition(s) and their carers.

OBJECTIVES

(i) To evaluate the relative importance of community pharmacy service characteristics, from the perspective of consumers with chronic condition(s) and carers; (ii) To compare consumer and carer preferences to health professional beliefs about ideal service characteristics for consumers.

METHOD

A discrete choice experiment was completed by consumers with chronic condition(s) and/or carers (n = 602) and health professionals (n = 297), recruited from four regions in Australia. Participants were each randomized to one survey version containing four (from a total 72) different choices between two new pharmacy services. Consumer and carer participants were also given an 'opt out' alternative of current service. Each service was described using six attributes related to pharmacy service characteristics: continued medicines supply, continuity and coordinated care, location, medication management, education and information, and cost.

RESULTS

Consumers and carers placed highest priority on continued medicines supply by a pharmacist for regular and symptom flare up medicines (100 priority points), a pharmacy located within a 'one-stop' health center (61 points) and home delivery of medicines (52 points). Although continued medicines supply was most important for consumers and carers, pharmacy location was perceived by health professionals to be the most important characteristic for consumers. Participants were less inclined to choose new services if their current pharmacy offered high quality services that were person-centered, easy to access and responsive to their needs. Younger, more highly educated and employed participants, and those with established condition(s) were more likely to choose new services.

CONCLUSIONS

Person-centered care is a fundamental tenet for pharmacy services. The provision of continued medicines supply (e.g. through pharmacist prescribing), convenient and coordinated care delivered through a one stop health centre, and home delivery of medicines, should be prioritized when planning pharmacy services to best assist consumers to manage chronic conditions.