| Literature DB >> 33819372 |
Suhaib M Muflih1, Sayer Al-Azzam1, Sawsan Abuhammad2, Sara K Jaradat1, Reema Karasneh3, Mohammad S Shawaqfeh4.
Abstract
BACKGROUND: In the telepharmacy model, the pharmacist can play a pivotal role in delivering pharmaceutical services for patients. However, evidence of pharmacists' impact on improving patient outcomes through disease outbreak through telepharmacy is sparse.Entities:
Mesh:
Year: 2021 PMID: 33819372 PMCID: PMC8250242 DOI: 10.1111/ijcp.14209
Source DB: PubMed Journal: Int J Clin Pract ISSN: 1368-5031 Impact factor: 3.149
Frequency distribution of sociodemographic characteristics of the participants (N = 364)
| Variable | Frequency (%) |
|---|---|
| Gender | |
| Male | 96 (26.4) |
| Female | 268 (73.6) |
| Age group | |
| 18 to 25 | 108 (29.7) |
| 26‐30 | 114 (31.3) |
| 31‐35 | 53 (14.6) |
| Above 35 | 89 (24.5) |
| Experience (y) | |
| ≤5 | 177 (48.6) |
| 6‐10 | 72 (19.8) |
| >10 | 115 (31.6) |
| Levels of education | |
| Diplomate in Pharmacy | 37 (10.2) |
| Bachelor of Pharmacy | 201 (55.2) |
| PharmD | 65 (17.9) |
| Master's Degree in Pharmacy | 61 (16.8) |
| Current work situation | |
| Full‐time Community Pharmacy | 181 (49.7) |
| Full‐time Hospital Pharmacy | 183 (50.3) |
| Monthly income (USD$) | |
| Less than 700 | 175 (48.1) |
| 700‐1400 | 140 (38.5) |
| More than1400 | 49 (13.5) |
| Marital status | |
| Married | 176 (48.4) |
| Single | 188 (51.6) |
| Area of work | |
| Urban | 306 (84.1) |
| Rural | 58 (15.9) |
| Prior Experience with telepharmacy | |
| Yes | 95 (26.1) |
| No | 269 (73.9) |
| Source of information | |
| Local channels and international channels | 97 (26.6) |
| Social media | 203 (55.8) |
| WHO website and social pages | 22 (6.0) |
| Scientific journals | 19 (5.2) |
| Others (eg workplace and colleagues, and ministry of health (MOH) website) | 23 (6.3) |
Participants’ level of agreement with statements regarding the use of telepharmacy during the COVID‐19 pandemic
| Statements | Agree or strongly agree (%) | Mean | Stand. Deviation | |
|---|---|---|---|---|
| 1 | It allows more frequent and accurate communication of sign (eg fever) and symptoms (eg febrile) to healthcare providers | 257 (70.6) | 3.85 | 0.89 |
| 2 | It increases number of non–face‐to‐face encounters | 157 (43.1) | 3.21 | 1.11 |
| 3 | Patients can receive timely feedback from a provider | 330 (90.7) | 4.21 | 0.65 |
| 4 | Pharmacists can monitor the parameters entered by patients several times a day and able to recommend medication changes (intervene) in a timely manner | 316 (86.8) | 4.14 | 0.72 |
| 5 | Lack of reimbursement and high costs are continuing obstacles | 248 (68.1) | 3.82 | 0.89 |
| 6 | Lack of studies about effectiveness, and societal implications of telepharmacy should discourage its use by pharmacists | 200 (54.9) | 3.54 | 0.96 |
| 7 | Its time consuming | 32 (8.8) | 2.48 | 0.83 |
| 8 | Our work place is well equipped and prepared to launch telepharmacy | 95 (26.1) | 2.83 | 1.01 |
| 9 | The lack of current information surrounding COVID‐19 makes it difficult to prepare for telepharmacy | 202 (55.5) | 3.49 | 0.94 |
Correlation between pharmacists’ competence and their attitudes towards telepharmacy
| Competence statement | Attitude towards telepharmacy | ||
|---|---|---|---|
| Pearson correlation |
| ||
| 1 | Ability to follow and promote infection prevention and control measures (eg hand hygiene, social distancing) | 0.165** | .002 |
| 2 | Ability to expedite seeking care for patients with acute illness who should be admitted to an emergency department. | 0.171** | .001 |
| 3 | Ability to provide necessary information to patients about what level of care they should seek and how urgently. | 0.145** | .006 |
| 4 | Ability to identify epidemiological risk factors that would increase the risk for getting COVID‐19. | 0.371** | .000 |
The association between pharmacists’ attitudes towards telepharmacy in response to covid‐19 and sociodemographic characteristics
| n = 364 | Mean (SD) |
| |
|---|---|---|---|
| Gender | |||
| Male | 96 | 3.64 (0.45) | .006 |
| Female | 268 | 3.49 (0.45) | |
| Age | |||
| 18 to 25 | 108 | 3.48 (0.39) | .028 |
| 26‐30 | 114 | 3.46 (0.53) | |
| 31‐35 | 53 | 3.51 (0.41) | |
| Above 35 | 89 | 3.64 (0.40) | |
| Monthly income (USD$) | |||
| Less than 700 | 175 | 3.48 (0.44) | .082 |
| 700‐1400 | 140 | 3.53 (0.39) | |
| More than 1400 | 49 | 3.64 (0.50) | |
| Area of work | |||
| City | 306 | 3.52 (0.45) | .465 |
| Rural | 58 | 3.49 (0.42) | |
| Current work situation | |||
| Full‐time Hospital Pharmacy | 181 | 3.51 (0.47) | .653 |
| Full‐time Community Pharmacy | 183 | 3.53 (0.43) | |
| Level of education | |||
| Diplomate in Pharmacy | 37 | 3.45 (0.35) | .005 |
| Bachelor of Pharmacy | 201 | 3.49 (0.42) | |
| PharmD | 65 | 3.47 (0.49) | |
| Master's Degree in Pharmacy | 61 | 3.71 (0.49) | |
| Sources of information | |||
| Local and International Channels | 97 | 3.55 (0.43) | .017 |
| Social Media | 203 | 3.46 (0.45) | |
| WHO Website | 22 | 3.65 (0.37) | |
| Scientific Journals | 19 | 3.75 (0.44) | |
| Others (eg Workplace and Colleagues, and Ministry of Health (MOH) Website) | 23 | 3.58 (0.45) | |