Implementation factor mapping of a pilot study of point-of-care C-reactive protein testing for respiratory tract infections in community pharmacy.

BACKGROUND

Explicit consideration of implementation factors in community pharmacy service development may facilitate widespread implementation and sustainability.

OBJECTIVES

This study involved mapping the methodology for the pilot study of point-of-care C-reactive protein (CRP) testing to support pharmacists' management of respiratory tract infections in Western Australian pharmacies against an implementation factor framework, focussing on the resources and training program provided to participating pharmacy staff.

METHODS

Phase 1 involved mapping of the pilot study methodology against the framework previously described by Garcia-Cardenas et al.; phase 2 was an evaluation of the resources and training program, involving pre-training, post-training, and post-pilot questionnaires administered to pharmacists and pharmacy assistants/interns. A mixed model analysis compared pharmacists' responses at the three time points.

RESULTS

Employment of comprehensive strategies to optimise service feasibility and sustainability was demonstrated across the five domains of 'professional service', 'pharmacy staff', 'pharmacy', 'local environment' and 'system'; further consideration of 'consumer' or 'patient' factors is needed to address issues such as patient refusal. Study pharmacists ( = 10) and pharmacy assistants/interns ( = 5) reported high levels of satisfaction with the training (100% 'good'/'excellent'). Pharmacists reported significantly improved attitudes towards, confidence in, and knowledge about CRP testing and service provision from pre- to post-training ( < 0.05). Positive perceptions were maintained at the post-pilot time point.

CONCLUSIONS

mapping of implementation factors highlighted potential strengths and deficiencies of the current service model. Systematic, prospective mapping, coupled with strategies to explicitly emphasise the patient perspective, may have value in optimising service implementation or modifying future service delivery models.