| Literature DB >> 34457093 |
Marea Patounas1, Esther T Lau2, Vincent Chan3, Deborah Rigby4, Gregory J Kyle5, Jyoti Khatri6, Arjun Poudel7, Lisa M Nissen8.
Abstract
BACKGROUND: In Australia, polypharmacy and medication-related problems are prevalent in the community. Therefore, medicines safety initiatives such as the Home Medicines Review (HMR) service are critical to health care provision. While the evidence continues to expand around HMR service, little is known of accredited pharmacists' experiences of HMR time investment.Entities:
Keywords: Australia; Delivery of Health Care; Efficiency; Medication Therapy Management; Pharmaceutical Services; Pharmacists; Polypharmacy; Surveys and Questionnaires; Time Management
Year: 2021 PMID: 34457093 PMCID: PMC8370188 DOI: 10.18549/PharmPract.2021.3.2376
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Figure 1Diagram of the 3 HMR Stages of accredited pharmacists’ clinical practice in this study
Demographic details of respondents and time investment for HMR Stages 1 to 3 (n=255)
| Demographics | N (%) |
|---|---|
| Age (years) | |
| 20-29 | 24 (9.4) |
| 30-39 | 77 (30.2) |
| 40-49 | 56 (22.0) |
| 50-59 | 67 (26.3) |
| 60+ | 31 (12.2) |
| Gender | |
| Male | 74 (29.0) |
| Female | 181 (71.0) |
| Number of HMRs ever completed | |
| 1-49 | 43 (17.0) |
| 50-99 | 26 (10.0) |
| 100-499 | 103 (40.0) |
| 500-999 | 43 (17.0) |
| 1000+ | 40 (16.0) |
| Main Pharmacy Background | |
| Community | 196 (77.0) |
| Hospital | 52 (20.0) |
| Other | 7 (3.0) |
| Integrated into GP clinic | |
| Fully integrated | 7 (3.0) |
| Partially integrated | 41 (16.0) |
| Not integrated | 207 (81.0) |
| State / Territory | |
| ACT | 3 (1.0) |
| New South Wales | 93 (36.0) |
| Northern Territory | 3 (1.0) |
| Queensland | 45 (17.0) |
| South Australia | 29 (11.0) |
| Tasmania | 10 (4.0) |
| Victoria | 53 (20.0) |
| Western Australia | 26 (10.0) |
| Time investment for HMR Stage 1 | |
| <30 mins | 119 (46.7) |
| 30-45 mins | 72 (28.2) |
| 45-60 mins | 41 (16.1) |
| >60mins | 23 (9.0) |
| Time investment for HMR Stage 2 | |
| <30 mins | 5 (2.0) |
| 30-60 mins | 179 (70.2) |
| 60-90 mins | 65 (25.5) |
| >90 mins | 6 (2.3) |
| Time investment for HMR Stage 3 | |
| <1 hr | 46 (18.0) |
| 1-2 hrs | 102 (40.0) |
| 2-3 hrs | 69 (27.1) |
| 3-6 hrs | 31 (12.2) |
| >6 hrs | 7 (2.7) |
Note: Respondents could select more than one state or territory of HMR practice (NTotal=262)
Chi-square test of independence reporting the relationship of demographic variables and HMR Stage 1 time investment. NTotal=255
| N (%) | <30 mins | 30-45 mins | 45-60 mins | >60 mins | p-value |
|---|---|---|---|---|---|
| Age in Years | 0.200 | ||||
| 20-29 | 11 (45.8) | 4 (16.7) | 3 (12.5) | 6 (25.0) | |
| 30-39 | 41 (53.2) | 19 (24.7) | 12 (15.6) | 5 (6.5) | |
| 40-49 | 29 (51.8) | 14 (25.0) | 9 (16.1) | 4 (7.1) | |
| 50-59 | 29 (43.3) | 22 (32.8) | 11 (16.4) | 5 (7.5) | |
| >60 | 9 (29.0) | 13 (41.9) | 6 (19.4) | 3 (9.7) | |
| Gender | 0.440 | ||||
| Female | 85 (47.0) | 53 (29.3) | 30 (16.6) | 13 (7.2) | |
| Male | 34 (45.9) | 19 (25.7) | 11 (14.9) | 10 (13.5) | |
| Number of HMRs completed during career | 0.010 | ||||
| 1-49 | 13 (30.2) | 10 (23.3) | 11 (25.6) | 9 (20.9) | |
| 50-99 | 13 (50.0) | 9 (34.6) | 2 (7.7) | 2 (7.7) | |
| 100-499 | 48 (46.6) | 25 (24.3) | 20 (19.4) | 10 (9.7) | |
| 500-999 | 21 (48.8) | 18 (41.9) | 3 (7.0) | 1 (2.3) | |
| >1000 | 24 (60.0) | 10 (25.0) | 5 (12.5) | 1 (2.5) | |
| Pharmacy background n= 248 | 0.980 | ||||
| Community | 92 (46.9) | 54 (27.6) | 33 (16.8) | 17 (8.7) | |
| Hospital | 24 (46.2) | 15 (28.8) | 8 (15.4) | 5 (9.6) | |
| Integration into GP clinic | 0.643 | ||||
| Fully integrated | 3 (42.9) | 4 (57.1) | 0 (0.0) | 0 (0.0) | |
| Partially integrated | 21 (51.2) | 10 (24.4) | 5 (12.2) | 5 (12.2) | |
| Not integrated | 95 (45.9) | 58 (28.0) | 36 (17.4) | 18 (8.7) |
= statistically significant (p ≤ 0.05)
Note: Only 7/255 were of other pharmacy backgrounds. These numbers were too small for statistical analysis. NTotal was adjusted as 248 for analysis of these variables.
For cells with expected count less than 5, Fisher exact test was conducted.
Chi-square test of independence reporting the relationship of demographic variables and HMR Stage 2 time investment. NTotal=255
| N (%) | <30 mins | 30-60 mins | 60-90 mins | >90 mins | p-value |
|---|---|---|---|---|---|
| Age in Years | 0.090 | ||||
| 20-29 | 1 (4.2) | 19 (79.2) | 3 (12.5) | 1 (4.2) | |
| 30-39 | 0 (0.0 | 61 (79.2 | 14 (18.2 | 2 (2.6 | |
| 40-49 | 3 (5.4) | 34 (60.7) | 19 (33.9) | 0 (0.0) | |
| 50-59 | 1 (1.5) | 47 (70.1) | 18 (26.9) | 1 (1.5) | |
| >60 | 0 (0.0) | 18 (58.1) | 11 (35.5) | 2 (6.5) | |
| Gender | 0.030 | ||||
| Female | 4 (2.2) | 118 (65.2) | 55 (30.4) | 4 (2.2) | |
| Male | 1 (1.4) | 61 (82.4) | 10 (13.5) | 2 (2.7) | |
| Number of HMRs completed during career | 0.510 | ||||
| 1-49 | 0 (0.0) | 30 (69.8) | 11 (25.6) | 2 (4.7) | |
| 50-99 | 2 (7.7) | 19 (73.1) | 5 (19.2) | 0 (0.0) | |
| 100-499 | 2 (1.9) | 70 (68.0) | 29 (28.2) | 2 (1.9) | |
| 500-999 | 1 (2.3) | 29 (67.4) | 13 (30.2) | 0 (0.0) | |
| >1000 | 0 (0.0) | 31 (77.5) | 7 (17.5) | 2 (5.0) | |
| Pharmacy background n=248 | 0.072 | ||||
| Community | 3 (1.5 | 143 (73.0 | 45 (23.0 | 5 (2.6 | |
| Hospital | 2 (3.8) | 31 (59.6) | 19 (36.5) | 0 (0.0) | |
| Integration into GP Clinic | 0.730 | ||||
| Fully integrated | 0 (0.0) | 6 (85.7) | 1 (14.3) | 0 (0.0) | |
| Partially integrated | 1 (2.4) | 29 (70.7) | 9 (22.0) | 2 (4.9) | |
| Not integrated | 4 (1.9) | 144 (69.6) | 55 (26.6) | 4 (1.9) |
= statistically significant (p ≤ 0.05)
Note: Only 7/255 were of other pharmacy backgrounds. These numbers were too small for statistical analysis. NTotal was adjusted as 248 for analysis of these variables.
For cells with expected count less than 5, Fisher exact test was conducted.
Chi-square test of independence reporting the relationship of demographic variables and HMR Stage 3 time investment. NTotal=255
| N (%) | <1hr | 1-2 hrs | 2-3 hrs | 3-6 hrs | >6 hrs | p-value |
|---|---|---|---|---|---|---|
| Age in Years | 0.820 | |||||
| 20-29 | 4 (16.7) | 12 (50.0) | 5 (20.8) | 3 (12.5) | 0 (0.0) | |
| 30-39 | 15 (19.5) | 29 (37.7) | 20 (26.0) | 11 (14.3) | 2 (2.6) | |
| 40-49 | 6 (10.7 | 28 (50.0) | 17 (30.4) | 3 (5.4) | 2 (3.6) | |
| 50-59 | 16 (23.9) | 21 (31.3) | 18 (26.9) | 10 (14.9) | 2 (3.0) | |
| >60 | 5 (16.1) | 12 (38.7) | 9 (29.0) | 4 (12.9) | 1 (3.2) | |
| Gender | 0.210 | |||||
| Female | 27 (14.9) | 71 (39.2) | 52 (28.7) | 25 (13.8) | 6 (3.3) | |
| Male | 19 (25.7) | 31 (41.9) | 17 (23.0) | 6 (8.1) | 1 (1.4) | |
| Number of HMRs completed during career | ||||||
| 1-49 | 7 (16.3) | 14 (32.6) | 11 (25.6) | 9 (20.9) | 2 (4.7) | 0.100 |
| 50-99 | 3 (11.5) | 7 (26.9) | 11 (42.3) | 4 (15.4) | 1 (3.8) | |
| 100-499 | 19 (18.4) | 43 (41.7) | 25 (24.3) | 12 (11.7) | 4 (3.9) | |
| 500-999 | 7 (16.3) | 15 (34.9) | 17 (39.5) | 4 (9.3) | 0 (0.0) | |
| >1000 | 10 (25.0) | 23 (57.5) | 5 (12.5) | 2 (5.0) | 0 (0.0) | |
| Pharmacy background n=248 | 0.590 | |||||
| Community | 33 (16.8) | 81 (41.3) | 54 (27.6) | 24 (12.2) | 4 (2.0) | |
| Hospital | 11 (21.2) | 20 (38.5) | 12 (23.1) | 6 (11.5) | 3 (5.8) | |
| Integration into GP clinic | 0.800 | |||||
| Fully integrated | 2 (28.6) | 3 (42.9) | 2 (28.6) | 0 (0.0) | 0 (0.0) | |
| Partially integrated | 7 (17.1 | 17 (41.5) | 8 (19.5) | 8 (19.5) | 1 (2.4) | |
| Not integrated | 37 (17.9) | 82 (39.6) | 59 (28.5) | 23 (11.1) | 6 (2.9) |
= marginally significant towards the predicted direction (0.05 > p ≤0.10)
Note: Only 7/255 were of other pharmacy backgrounds. These numbers were too small for statistical analysis. NTotal was adjusted as 248 for analysis of these variables.
For cell counts less than value of 5 – Fisher exact test was used.