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Record W1978527945 · doi:10.3821/145.4.cpje7

Designing a novel continuing education program for pharmacists: Lessons learned

2012· article· en· W1978527945 on OpenAlexfundvenueaboutno aff
Barbara Farrell, Phil Emberley, Marie-Anik Gagné, Brad Jennings, Derek Jorgenson, Natalie Kennie‐Kaulbach, Pia Zeni Marks, Christine Papoushek, Nancy M. Waite, Donna M M Woloschuk

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2012
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
FundersHealth CanadaAssociation des pharmaciens du Canada
KeywordsPharmacistGeneral partnershipContinuing educationHealth careMedical educationNursingProfessional developmentPharmacyPolitical sciencePsychologyLibrary scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Rapid changes in health care and the evolving role of the pharmacist, as shown by the recent expanding scope of practice changes in several Canadian jurisdictions, have created a need for additional pharmacist continuing education (CE). Many pharmacists move into these new roles with excitement and trepidation. Some pharmacists may be comfortable communicating with patients but less certain how to document the care provided or how to conduct physical assessments. Some may have had plenty of opportunities to talk with physicians but less experience working with other health care providers. Many know that these new roles will improve patient care and want support and CE to move confidently into this new world. KEY POINTS Pharmacists want support and continuing education (CE) opportunities to move confidently into new roles. Partnership between primary health care pharmacists, professional associations and universities creates high-quality CE programming. Distance education best practices should inform course design and operation. A multi-faceted evaluation framework and soliciting learner feedback contributes to making an already good course even better. POINTS CLES Les pharmaciens veulent du soutien et des programmes de formation continue pour se preparer avec confiance a leurs nouveau roles. Le partenariat entre les pharmaciens prestataires de soins de sante primaires, les associations professionnelles et les universites favorise la creation de programmes de formation continue de haute qualite. La conception et la prestation des cours devraient s'appuyer sur des pratiques exemplaires en matiere d'education a distance. Un cadre d'evaluation a volets multiples et la collecte de la retroaction des apprenants contribuent a l'amelioration d'un cours qui est deja bon. A group of pharmacists involved in the Primary Care Pharmacy Specialty Network (PC-PSN), a joint initiative of the Canadian Pharmacists Association (CPhA) and the Canadian Society of Hospital Pharmacists (CSHP), could see that these changes were beginning to happen within the practices of PC-PSN members and through research initiatives such as IMPACT,1–3 SCRIP, SCRIP-plus and REACT.4–6 The group envisioned a “real-world,” accessible, national CE program that would enable pharmacists to enhance patient care in primary health care settings. This article describes the creation, pilot testing and launch of the Adapting Pharmacists' Skills and Approaches to Maximize Patients' Drug Therapy Effectiveness (ADAPT) CE program. The program comprises 7 online learning modules designed to enhance patient care and collaborative skills, plus a face-to-face workshop designed to provide additional feedback about those skills. Program development began in November 2009. The pilot offering of the program occurred from August 2010 to February 2011 and the program became available to all Canadian pharmacists in August 2011 (www.pharmacists.ca/adapt). It was a challenge to create a rigorous, high-quality program for working pharmacists that was practical in terms of the skills taught and the delivery method. A summary of the ADAPT development and implementation process is provided in Box 1. Lessons learned from the ADAPT experience may help others to develop similar CE programs in the future. Creating the training program framework In 2007, a PC-PSN training subcommittee created a Primary Health Care Skills Training Program framework (Box 2) using content and structure developed for the IMPACT (Integrating Family Medicine and Pharmacy to Advance Primary Care Therapeutics) project.7 Obtaining funding: Creating your luck The initial challenge was obtaining funding to create a high-quality CE program. A development grant provided by the McMaster University Department of Family Medicine supported the proposal development and networking with potential funders. Several meetings were held with representatives from faculties of pharmacy and pharmaceutical companies before the Health Canada opportunity, facilitated by CPhA, presented itself. In July 2009, CPhA worked with the PC-PSN on a $500,000 funding proposal to Health Canada's Health Care Policy Contribution Program to create a CE program for primary health care pharmacists using the arguments outlined in Table 1. CPhA, CSHP and PC-PSN representatives entered into a partnership for the purpose of this proposal. Notice of successful funding was received in November 2009. TABLE 1 Arguments for funding ADAPT program development and evaluation Lesson learned: Ensure adequate unrestricted funding. Health Canada's funding made it possible to assemble the right pharmacists, educators, researchers and project managers to deliver and evaluate a mixed model of online, real-world and in-person CE that is not biased toward a particular product, manufacturer or practice setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.040
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.005
Open science0.0040.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.210
GPT teacher head0.433
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2012
Admission routes3
Has abstractyes

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