Dataset Information

[Priorization of facilitators for the implementation of medication review with follow-up service in Spanish community pharmacies through exploratory factor analysis].

ABSTRACT: OBJECTIVE:to prioritize previously identified in Spain facilitators for the implementation of new Pharmaceutical Services that allow designing strategies for the implementation of Medication Review with follow-up (MRFup) service. DESIGN, SETTING AND PARTICIPANTS:Exploratory factor analysis (EFA). A draft of a questionnaire was performed based on a previous literature review and following the RAND/UCLA methodology. An expert panel worked with it and generated a definitive questionnaire which, after piloting, was used with a representative sample of pharmacists, owners or staff members, who were working in community pharmacy, using computer-assisted telephone interviewing (CATI) methodology. To understand underlying constructs in the questionnaire an EFA was performed. Different approaches were tested such as principal components factor analysis and principal axis factoring method. The best interpretability was achieved using the Factorization of Principal axis method with Direct Oblimin rotation, which explained the 40.0% of total variance. RESULTS:This produced four factors defined as: «Incentives», «External campaigns», «Expert in MRFup» and «Professionalism of the pharmacist». CONCLUSIONS:It can be stated that for implementation and sustainability of MRFup Service it is necessary being paid; also it must be explained to health professional and society in general. Practice of MRFup service demands pharmacists receiving a more clinical education and assuming more responsibilities as health professionals.

SUBMITTER: Gil MI

PROVIDER: S-EPMC6985470 | biostudies-literature | 2013 Aug-Sep

REPOSITORIES: biostudies-literature

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[Priorization of facilitators for the implementation of medication review with follow-up service in Spanish community pharmacies through exploratory factor analysis].

Gil Modesta Inmaculada MI Benrimoj Shalom Isaac SI Martínez-Martínez Fernando F Cardero Manuel M Gastelurrutia Miguel Ángel MÁ

Atencion primaria 20130606 7

<h4>Objective</h4>to prioritize previously identified in Spain facilitators for the implementation of new Pharmaceutical Services that allow designing strategies for the implementation of Medication Review with follow-up (MRFup) service.<h4>Design, setting and participants</h4>Exploratory factor analysis (EFA). A draft of a questionnaire was performed based on a previous literature review and following the RAND/UCLA methodology. An expert panel worked with it and generated a definitive questionn ...[more]

PMID: 23746461

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Project description:BackgroundThe introduction of a new method of transmitting prescriptions from general practices to community pharmacies in England (Electronic Prescription Service Release 2 (EPS2)) has generated debate on how it will change work practice. As EPS2 will be a key technical element in dispensing, we reviewed the literature to find that there were no studies on how social and technical elements come together to form work practice in community pharmacies. This means the debate has little point of reference. Our aim therefore was to study the ways social and technical elements of a community pharmacy are used to achieve dispensing through the development of a conceptual model on pharmacy work practice, and to consider how a core technical element such the EPS2 could change work practice.MethodWe used ethnographic methods inclusive of case-study observations and interviews to collect qualitative data from 15 community pharmacies that were in the process of adopting or were soon to adopt EPS2. We analysed the case studies thematically and used rigorous multi-dimensional and multi-disciplinary interpretive validation techniques to cross analyse findings.ResultsIn practice, dispensing procedures were not designed to take into account variations in human and technical integration, and assumed that repetitive and collective use of socio-technical elements were at a constant. Variables such as availability of social and technical resources, and technical know-how of staff were not taken into account in formalised procedures. Yet community pharmacies were found to adapt their dispensing in relation to the balance of social and technical elements available, and how much of the social and technical elements they were willing to integrate into dispensing. While some integrated as few technical elements as possible, some depended entirely on technical artefacts. This pattern also applied to the social elements of dispensing. Through the conceptual model development process, we identified three approaches community pharmacies used to appropriate procedures in practice. These were 'technically oriented', 'improvising' or 'socially oriented'.ConclusionWe offer a model of different work approaches community pharmacies use to dispense, which suggests that when adopting a core technical element such as the EPS2 system of dispensing there could be variations in its successful adoption. Technically oriented pharmacies might find it easiest to integrate a similar artefact into work practice although needs EPS2 to synchronise effectively with existing technologies. Pharmacies adopting an improvising-approach have the potential to improve how they organise dispensing through EPS2 although they will need to improve how they apply their operating procedures. Socially oriented pharmacies will need to dramatically adapt their approach to dispensing since they usually rely on few technical tools.

Project description:OBJECTIVES:This study investigated pharmacists' and pharmacy assistants' current practices and perspectives with regard to oral healthcare provision across Australian community pharmacies. DESIGN:Cross-sectional study. A questionnaire for each pharmacist and pharmacy assistant cohort was developed and administered by online or postal means. Pearson's ?2 test was used to examine relationships between categorical variables. PARTICIPANTS:Pharmacists and pharmacy assistants working within 2100 randomly selected Australian community pharmacies. RESULTS:The overall response rate was 58.5% (644/1100) for the pharmacist cohort and 28% (280/1000) for the pharmacy assistant cohort. This represents pharmacy staff responses from 803 community pharmacies across Australia (approximately 14.6%, 803/5500 of community pharmacies nationally). Overall, the majority of pharmacists (80.2%; 516/644) and pharmacy assistants (83.6%; 234/280) reported providing oral health advice/consultations to health consumers up to five times each week. More than half of community pharmacists and pharmacy assistants were involved in identifying signs and symptoms for oral health problems; and the majority believed health consumers were receptive to receiving oral health advice. Additionally, more than 80% of pharmacists and 60% of pharmacy assistants viewed extended oral healthcare roles positively and supported integrating them within their workplace; extended roles include provision of prevention, early intervention and referral to oral healthcare services. The most commonly reported barriers to enhance pharmacy staff involvement in oral healthcare within Australian community pharmacies include lack of knowledge, ongoing training and resources to assist practice. CONCLUSION:This study highlights that Australian pharmacists have an important role in oral health and provides evidence supporting the need for growing partnerships/collaborations between pharmacy and dental healthcare professionals and organisations to develop, implement and evaluate evidence-based resources, interventions and services to deliver improved and responsive oral healthcare within Australian communities.

Dataset Information

[Priorization of facilitators for the implementation of medication review with follow-up service in Spanish community pharmacies through exploratory factor analysis].

Publications

[Priorization of facilitators for the implementation of medication review with follow-up service in Spanish community pharmacies through exploratory factor analysis].

Similar Datasets

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