| Literature DB >> 36081922 |
Patrick Timony, Sherilyn K D Houle, Alain Gauthier, Nancy M Waite.
Abstract
Introduction: Canadians living in rural and northern communities face particular health needs and challenges in accessing primary care services. Ontario pharmacists are increasingly able to optimize patient care with a broadening scope of practice; this was highlighted during the COVID-19 pandemic. This study explores the geographic distribution of pharmacists to evaluate their potential to deliver health care in rural and northern Ontario communities.Entities:
Year: 2022 PMID: 36081922 PMCID: PMC9445509 DOI: 10.1177/17151635221115411
Source DB: PubMed Journal: Can Pharm J (Ott) ISSN: 1715-1635
Demographics of Part A pharmacists at patient care sites (as of December 20, 2018)
|
| % | |
|---|---|---|
|
| 13,666 | 100 |
|
| ||
| Female | 7904 | 57.9 |
|
| ||
| Less than 1 | 163 | 1.2 |
| 1-5 | 1980 | 14.5 |
| 6-10 | 2138 | 15.6 |
| 11-20 | 3440 | 25.2 |
| 21-30 | 2885 | 21.1 |
| 31-40 | 2175 | 15.9 |
| 41-50 | 779 | 5.7 |
| 51+ | 106 | 0.8 |
|
| ||
| Canada | 7214 | 52.8 |
| USA | 888 | 6.5 |
| Other | 5564 | 40.7 |
|
| ||
| Community pharmacy | 11,436 | 83.7 |
| Hospital pharmacy | 2610 | 19.1 |
| Other | 345 | 2.5 |
|
| ||
| 1 | 9076 | 66.4 |
| 2 | 3066 | 22.4 |
| 3-5 | 1387 | 10.1 |
| 6-10 | 99 | 0.7 |
| 11-20 | 30 | 0.2 |
| 20+ | 8 | 0.1 |
Multiple practice types are possible given that pharmacists can work in multiple locations and settings.
Count of census subdivisions by geographic region and pharmacist FTEs per 1000 population
| 0 FTEs/1000 | ≤0.49 FTEs/1000 | 0.5 to 0.99 FTEs/1000 | ≥1 FTEs/1000 | Total | |||
|---|---|---|---|---|---|---|---|
|
| Urban |
| 16 | 3 | 2 | 8 | 29 |
| % | 55 | 10 | 7 | 28 | 100 | ||
| Strong MIZ |
| 14 | 1 | 2 | 2 | 19 | |
| % | 74 | 5 | 11 | 11 | 100 | ||
| Moderate MIZ |
| 38 | 2 | 6 | 10 | 59 | |
| % | 68 | 4 | 11 | 18 | 100 | ||
| Weak MIZ |
| 35 | 0 | 9 | 14 | 58 | |
| % | 60 | 0 | 16 | 24 | 100 | ||
| No MIZ |
| 64 | 0 | 0 | 5 | 69 | |
| % | 93 | 0 | 0 | 7 | 100 | ||
| Total |
| 167 | 6 | 19 | 39 | 231 | |
| % | 72 | 3 | 8 | 17 | 100 | ||
|
| Urban |
| 17 | 27 | 44 | 38 | 126 |
| % | 13 | 21 | 35 | 30 | 100 | ||
| Strong MIZ |
| 24 | 31 | 24 | 8 | 87 | |
| % | 28 | 36 | 28 | 9 | 100 | ||
| Moderate MIZ |
| 18 | 9 | 17 | 16 | 60 | |
| % | 30 | 15 | 28 | 27 | 100 | ||
| Weak MIZ |
| 5 | 1 | 2 | 3 | 10 | |
| % | 50 | 10 | 20 | 30 | 100 | ||
| No MIZ |
| 5 | 0 | 1 | 0 | 6 | |
| % | 83 | 0 | 17 | 0 | 100 | ||
| Total |
| 69 | 68 | 88 | 64 | 289 | |
| % | 24 | 24 | 30 | 22 | 100 |
FTE, full-time equivalent; MIZ, metropolitan-influenced zones.
Distribution of pharmacist FTEs to population by geographic region
| North | South | Total | |||||
|---|---|---|---|---|---|---|---|
| Population | FTEs | Population | FTEs | Population | FTEs | ||
| Urban |
| 496,220 | 517 | 11,446,515 | 10,893 | 11,942,735 | 11,406 |
| % | 3.7 | 4.2 | 86.0 | 88.8 | 89.8 | 93.0 | |
| Strong MIZ |
| 27,405 | 9 | 679,740 | 314 | 707,145 | 323 |
| % | 0.2 | 0.1 | 5.1 | 2.5 | 5.3 | 2.6 | |
| Moderate MIZ |
| 94,050 | 60 | 343,960 | 292 | 438,010 | 351 |
| % | 0.7 | 0.5 | 2.6 | 2.4 | 3.3 | 2.9 | |
| Weak MIZ |
| 119,480 | 123 | 66,915 | 56 | 186,395 | 179 |
| % | 0.9 | 1.0 | 0.5 | 0.5 | 1.4 | 1.5 | |
| No MIZ |
| 26,170 | 11 | 3,600 | 1 | 29,770 | 12 |
| % | 0.2 | 0.1 | 0.0 | 0.0 | 0.2 | 0.1 | |
| Total |
| 763,325 | 719 | 12,540,730 | 11,553 | 13,304,055 | 12,272 |
| % | 5.7 | 5.9 | 94.3 | 94.1 | 100.0 | 100.0 | |
FTE, full-time equivalent; MIZ, metropolitan-influenced zones.
Figure 1Pharmacist full-time equivalents per 1000 population, northern Ontario
Figure 2Pharmacist full-time equivalents per 1000 population, southern Ontario
Figure 3Pharmacist full-time equivalents per 1000 population by geography (north vs south) and degree of rurality
MIZ, metropolitan-influenced zones.
Figure 4Pharmacist full-time equivalents per 1000 population by the combination of geography and degree of rurality
MIZ, metropolitan-influenced zones.