Health needs assessment in a regional community pharmacy using the PRECEDE-PROCEED model

BACKGROUND Community pharmacies have capacity to provide a variety of professional pharmacy services. However, planning models are underutilised when guiding pharmacists in assessing local health and social needs for providing tailored services to meet community needs and priorities. OBJECTIVE The objective of this was to utilize the PRECEDE-PROCEED model to perform a health needs assessment to identify health concerns in a regional Australian community for guiding professional pharmacy service development. METHODS A health needs assessment using the PRECEDE-PROCEED model was conducted in November 2019 using a convergent mixed-methods design through: (1) convenience sampling of pharmacy customers with a survey, (2) purposive sampling of a sole community pharmacist with a semi-structured interview, and (3) collection of regional health and social data from online databases. RESULTS The community survey response rate was 44.8%. Of 113 participants, the majority were female (71.7%) and town dwellers (89.4%), representing 6.4% of the town's population. Mental illness was cited by 35.3% of community survey participants to be impacting local health and wellbeing, with depression/anxiety the most prevalent self-reported condition (44.2%), predominantly affecting women (72%). The community pharmacist and regional secondary data provided additional support for the prioritization of mental illness. Depression/anxiety was associated with delays/avoidance of prescription medicine due to cost (p = .002), poor self-rated health (p = .012), worsening health over the past year (p < .001), seeking advice from a pharmacist about health or medicines (p = .03), and receipt of emergency care in the past year (p = .001). The lack of a local general practitioner, social isolation, and environmental issues also impacted health and wellbeing. CONCLUSIONS The PRECEDE-PROCEED model identified mental health as the greatest health priority in the community, using multiple data sources and participatory methods. Using this model provides insight into the development of tailored community pharmacy interventions that address health priorities such as mental health needs in a community.