| Literature DB >> 27170997 |
Salem Hasn Abukres1, Kreshnik Hoti1,2, Jeffery David Hughes1.
Abstract
OBJECTIVE: To explore the reported practice of Australian community pharmacists when dealing with medication supply requests in absence of a valid prescription.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27170997 PMCID: PMC4865180 DOI: 10.1371/journal.pone.0154992
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristic of the participants (n = 385).
| Variable | Categories | Survey Data n (%) | Australian Data |
|---|---|---|---|
| Gender | Male | 210 (54.5) | 8,916 (41.8) |
| Female | 155 (40.3) | 12,415 (58.2) | |
| Prefer not to disclose | 20 (5.2) | ||
| Age (years) | 20–30 | 90 (23.4) | |
| 31–40 | 98 (25.5) | ||
| 41–50 | 83 (21.6) | ||
| 51–60 | 83 (21.6) | ||
| > 61 | 26 (1.8) | ||
| Prefer not to disclose | 5 (1.3) | ||
| State or Territory | ACT (Australian Capital Territory) | 5 (1.3) | 373 (1.7) |
| QLD (Queensland) | 92 (23.9) | 4,197 (20.0) | |
| NSW (New South Wales) | 90 (23.4) | 6,584 (31.0) | |
| NT (Northern Territory) | 0 (0) | 157 (0.07) | |
| SA (South Australia) | 31 (8.1) | 1,625 (7.6) | |
| TAS (Tasmania) | 18 (4.7) | 554 (2.6) | |
| VIC (Victoria) | 92 (23.9) | 5,465 (25.6) | |
| WA (Western Australia) | 54 (14.0) | 2,367 (11.0) | |
| Prefer not to disclose | 3 (0.8) | ||
| Pharmacy location | Urban (Metropolitan) | 279 (72.5) | 16,225 (76.0) |
| Rural (rural, remote and other) | 100 (26.0) | 5,088 (24.0) | |
| Prefer not to disclose | 6 (1.6) |
# Source: Health Workforce Australia 2014,[22] according to this source the total number of pharmacists in 2012 was 21,331 working in different pharmacy settings (13,454 (63.1%) were working in community pharmacy).
*NA: not applicable
Fig 1Comparison between the supply (%) for regular and non-regular customers according to prescription and medication types.
Fig 2Method of supply (%) for regular and regular customers according to prescription and medication types.
Effects of demographic variables on participants’ decisions to supply (n = 385).
| Customer type | Medication | Prescription type | More likely to Supply Group | P value |
|---|---|---|---|---|
| Regular | Antianxiety | Standard | Older (>40 years) | 0.008 |
| Antianxiety | Authority | Urban | 0.044 | |
| Antianxiety | Private | Older (>40 years) | 0.022 | |
| Antidepressants | Standard | Younger ≤ 40 years) | 0.033 | |
| Antidepressants | Authority | Younger (≤ 40 years) | 0.005 | |
| Antidepressants | Private | Younger (≤ 40 years) | 0.023 | |
| Non-opioids | Standard | Older (>40 years) | 0.006 | |
| Non-opioids | Authority | Older (>40 years) | 0.023 | |
| Non-opioids | Private | Older (>40 years) | 0.022 | |
| Statins | Standard | Younger (≤ 40 years) | 0.007 | |
| Statins | Authority | Younger (≤ 40 years) | 0.015 | |
| Statins | Private | Younger (≤ 40 years) | 0.022 | |
| Arthritis | Standard | Urban | 0.016 | |
| Arthritis | Authority | Urban | 0.003 | |
| Arthritis | Private | Rural | 0.028 | |
| Opioids | Authority | Older (>40 years) | 0.03 | |
| Opioids | Private | Male | 0.027 | |
| Psoriasis | Standard | Male | 0.008 | |
| Psoriasis | Private | Female | 0.012 | |
| Psoriasis | Private | Younger (≤ 40 years) | 0.028 | |
| Anticoagulants | Authority | Female | 0.028 | |
| GERD | Private | Urban | 0.003 | |
| Non-regular | Statins | Standard | Younger (≤ 40 years) | 0.03 |
| Statins | Private | Younger (≤ 40 years) | 0.048 | |
| Non-statins | Standard | Younger (≤ 40 years) | 0.046 |
GERD: Gastro-Esophageal Reflux Disease