| Literature DB >> 34965894 |
Deanna Mill1, Jacinta L Johnson2,3, Kenneth Lee4, Sandra M Salter4, Danielle D'Lima5, Liza Seubert4, Rhonda Clifford4, Amy T Page4,6,7.
Abstract
BACKGROUND: Variations in practice are commonplace in healthcare where health professionals, such as pharmacists act as autonomous practitioners. This is evident in simulated patient studies, where pharmacists practice does not meet widely accepted standards for medicines supply or treatment of an ailment. To promote best pharmacy practice a myriad of guidance resources including practice guidelines, codes and standards are produced by professional organisations. These resources provide a framework for pharmacy practice and endeavour to facilitate consistency in provision of pharmacy-based services to consumers. Despite their role in specifying essential pharmacist behaviours, there is limited research exploring if and how these resources are used in practice.Entities:
Keywords: Code of ethics; Pharmacist; Practice guidelines; Practice standards; Professional behaviour
Year: 2021 PMID: 34965894 PMCID: PMC8715411 DOI: 10.1186/s40545-021-00395-8
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Pharmaceutical Society of Australia (PSA) Professional Practice Guidance Resources included in survey by resource group
| Professional practice guidance resource grouping for survey | Professional practice guidance resources included |
|---|---|
Resource Group 1—Overarching Practice Standards, Codes and Guidelines (Referred to intext as ‘Overarching Resources’) | My Health Record Guidelines for Pharmacists [ Clinical Governance Principles for Pharmacy Services [ Dispensing Practice Guidelines [ Code of Ethics for Pharmacists [ Professional Practice Standards for Pharmacists [ Guide to Providing Pharmacy Services to Aboriginal and Torres Strait Islander People [ |
Resource Group 2—Community Pharmacy Core Professional Services Practice Guidelines (Referred to intext as ‘Core Professional Service Resources’) | Guidelines for Pharmacists Providing Dose Administration Aid Services [ Guidelines for Pharmacists Providing Staged Supply Services [ Guidelines for Pharmacists Providing Medscheck and Diabetes Medscheck Services [ Practice Guidelines for the Provision of Immunisation Services Within Pharmacy [ Guidelines for the Continued Dispensing of Eligible Prescribed Medicines by Pharmacists [ |
Resource Group 3—Accredited Medication Review Services Practice Guidelines (Referred to intext as ‘Medication Review Resources’) | Guidelines for Quality Use of Medicines (QUM) Services [ Guidelines for Pharmacists Providing Home Medicines Review (HMR) Services [ Guidelines for Pharmacists Providing Residential Medication Management Review and QUM Services [ Guidelines for Comprehensive Medication Management Reviews [ |
Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
| Checklist Item | Explanation | Manuscript section |
|---|---|---|
| Describe survey design | Describe target population, sample frame. Is the sample a convenience sample? (In “open” surveys this is most likely.) | See “ |
| IRB approval | Mention whether the study has been approved by an IRB | See “ |
| Informed consent | Describe the informed consent process. Where were the participants told the length of time of the survey, which data were stored and where and for how long, who the investigator was, and the purpose of the study? | See “ |
| Data protection | If any personal information was collected or stored, describe what mechanisms were used to protect unauthorized access | See “ |
| Development and testing | State how the survey was developed, including whether the usability and technical functionality of the electronic questionnaire had been tested before fielding the questionnaire | See “ |
| Open survey versus closed survey | An “open survey” is a survey open for each visitor of a site, while a closed survey is only open to a sample which the investigator knows (password-protected survey) | The survey was not password protected and screening questions at the beginning of the survey should prevent ineligible responses |
| Contact mode | Indicate whether or not the initial contact with the potential participants was made on the Internet. (Investigators may also send out questionnaires by mail and allow for Web-based data entry.) | See “ |
| Advertising the survey | How/where was the survey announced or advertised? Some examples are offline media (newspapers), or online (mailing lists—If yes, which ones?) or banner ads (where were these banner ads posted and what did they look like?). It is important to know the wording of the announcement as it will heavily influence who chooses to participate. Ideally the survey announcement should be published as an appendix | See “ |
| Web/E-mail | State the type of e-survey (e.g., one posted on a Web site, or one sent out through e-mail). If it is an e-mail survey, were the responses entered manually into a database, or was there an automatic method for capturing responses? | See “ |
| Context | Describe the Web site (for mailing list/newsgroup) in which the survey was posted. What is the Web site about, who is visiting it, what are visitors normally looking for? Discuss to what degree the content of the Web site could pre-select the sample or influence the results. For example, a survey about vaccination on a anti-immunization Web site will have different results from a Web survey conducted on a government Web site | NA—not hosted on a website |
| Mandatory/voluntary | Was it a mandatory survey to be filled in by every visitor who wanted to enter the Web site, or was it a voluntary survey? | NA—not hosted on a website |
| Incentives | Were any incentives offered (e.g., monetary, prizes, or non-monetary incentives such as an offer to provide the survey results)? | See “ |
| Time/Date | In what timeframe were the data collected? | See “ |
| Randomization of items or questionnaires | To prevent biases items can be randomized or alternated | See “ |
| Adaptive questioning | Use adaptive questioning (certain items, or only conditionally displayed based on responses to other items) to reduce number and complexity of the questions | See “ |
| Number of Items | What was the number of questionnaire items per page? The number of items is an important factor for the completion rate | See “ |
| Number of screens (pages) | Over how many pages was the questionnaire distributed? The number of items is an important factor for the completion rate | See “ |
| Completeness check | It is technically possible to do consistency or completeness checks before the questionnaire is submitted. Was this done, and if “yes”, how (usually JAVAScript)? An alternative is to check for completeness after the questionnaire has been submitted (and highlight mandatory items). If this has been done, it should be reported. All items should provide a non-response option such as “not applicable” or “rather not say”, and selection of one response option should be enforced | See “ |
| Review step | State whether respondents were able to review and change their answers (e.g., through a Back button or a Review step which displays a summary of the responses and asks the respondents if they are correct) | See “ |
| Unique site visitor | If you provide view rates or participation rates, you need to define how you determined a unique visitor. There are different techniques available, based on IP addresses or cookies or both | Not reported—data not collected |
| View rate (Ratio of unique survey visitors/unique site visitors) | Requires counting unique visitors to the first page of the survey, divided by the number of unique site visitors (not page views!). It is not unusual to have view rates of less than 0.1% if the survey is voluntary | Not reported—data not collected |
| Participation rate (Ratio of unique visitors who agreed to participate/unique first survey page visitors) | Count the unique number of people who filled in the first survey page (or agreed to participate, for example by checking a checkbox), divided by visitors who visit the first page of the survey (or the informed consents page, if present). This can also be called “recruitment” rate | Not reported—data not collected |
| Completion rate (Ratio of users who finished the survey/users who agreed to participate) | The number of people submitting the last questionnaire page, divided by the number of people who agreed to participate (or submitted the first survey page). This is only relevant if there is a separate “informed consent” page or if the survey goes over several pages. This is a measure for attrition. Note that “completion” can involve leaving questionnaire items blank. This is not a measure for how completely questionnaires were filled in. (If you need a measure for this, use the word “completeness rate”.) | Completion rate for the full survey (includes data not reported in this study) was calculated as the number of respondents who completed/respondents who consented (554/764, 72.5%) |
| Cookies used | Indicate whether cookies were used to assign a unique user identifier to each client computer. If so, mention the page on which the cookie was set and read, and how long the cookie was valid. Were duplicate entries avoided by preventing users access to the survey twice; or were duplicate database entries having the same user ID eliminated before analysis? In the latter case, which entries were kept for analysis (e.g., the first entry or the most recent)? | See “ |
| IP check | Indicate whether the IP address of the client computer was used to identify potential duplicate entries from the same user. If so, mention the period of time for which no two entries from the same IP address were allowed (e.g., 24 h). Were duplicate entries avoided by preventing users with the same IP address access to the survey twice; or were duplicate database entries having the same IP address within a given period of time eliminated before analysis? If the latter, which entries were kept for analysis (e.g., the first entry or the most recent)? | See “ |
| Log file analysis | Indicate whether other techniques to analyze the log file for identification of multiple entries were used. If so, please describe | NA |
| Registration | In “closed” (non-open) surveys, users need to login first and it is easier to prevent duplicate entries from the same user. Describe how this was done. For example, was the survey never displayed a second time once the user had filled it in, or was the username stored together with the survey results and later eliminated? If the latter, which entries were kept for analysis (e.g., the first entry or the most recent)? | NA |
| Handling of incomplete questionnaires | Were only completed questionnaires analyzed? Were questionnaires which terminated early (where, for example, users did not go through all questionnaire pages) also analyzed? | See “ |
| Questionnaires submitted with an atypical timestamp | Some investigators may measure the time people needed to fill in a questionnaire and exclude questionnaires that were submitted too soon. Specify the timeframe that was used as a cutoff point, and describe how this point was determined | See “ |
| Statistical correction | Indicate whether any methods such as weighting of items or propensity scores have been used to adjust for the non-representative sample; if so, please describe the methods | NA |
This checklist has been modified from Eysenbach G. Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res. 2004 Sep 29;6(3):e34 [erratum in J Med Internet Res. 2012; 14(1): e8.]. Article available at https://www.jmir.org/2004/3/e34/; erratum available https://www.jmir.org/2012/1/e8/. Copyright ©Gunther Eysenbach. Originally published in the Journal of Medical Internet Research, 29.9.2004 and 04.01.2012
Demographics of survey respondents
| Characteristic | Registered pharmacist | Pharmacy intern | Pharmacy student | All |
|---|---|---|---|---|
| Gender ( | ||||
| Male | 132 (28.6) | 12 (23.5) | 24 (27.3) | 168 (28.0) |
| Female | 328 (5.3) | 39 (76.5) | 63 (71.6) | 430 (71.5) |
| Non-conforming/gender variant | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Prefer not to answer | 2 (0.4) | 0 (0.0) | 1 (1.1) | 3 (0.5) |
| Age (in years) ( | ||||
| 18–24 | 18 (3.9) | 39 (76.5) | 70 (79.5) | 127 (21.1) |
| 25–34 | 215 (46.5) | 10 (19.6) | 12 (13.6) | 237 (39.4) |
| 35–44 | 101 (21.9) | 1 (2.0) | 4 (4.5) | 106 (17.6) |
| 45–54 | 61 (13.2) | 1 (2.0) | 1 (1.1) | 63 (10.5) |
| 55–64 | 47 (10.2) | 0 (0.0) | 0 (0.0) | 47 (7.8) |
| 65 + | 18 (3.9) | 0 (0.0) | 0 (0.0) | 18 (3.0) |
| Prefer not to answer | 2 (0.4) | 0 (0.0) | 1 (1.1) | 3 (0.5) |
| None of the above | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| State of workplace/study ( | ||||
| New South Wales | 85 (18.4) | 6 (11.8) | 13 (14.8) | 104 (17.3) |
| Victoria | 118 (25.5) | 9 (17.6) | 19 (21.6) | 146 (24.3) |
| Queensland | 54 (11.7) | 11 (21.6) | 19 (21.6) | 84 (14.0) |
| South Australia | 46 (10.0) | 10 (19.6) | 12 (13.6) | 68 (11.3) |
| Western Australia | 127 (27.5) | 7 (13.7) | 18 (20.5) | 152 (25.3) |
| Northern Territory | 5 (1.1) | 2 (3.9) | 0 (0.0) | 7 (1.2) |
| Australian Capital Territory | 10 (2.2) | 3 (5.9) | 3 (3.4) | 16 (2.7) |
| Tasmania | 12 (2.6) | 3 (5.9) | 3 (3.4) | 18 (3.0) |
| Prefer not to answer | 4 (0.9) | 0 (0.0) | 1 (1.1) | 5 (0.8) |
| Currently member of any pharmacy organisations ( | ||||
| Pharmaceutical Society of Australia | 233 (50.4) | 34 (66.7) | 80 (90.9) | 347 (57.7) |
| Society of Hospital Pharmacists Australia | 126 (27.3) | 15 (29.4) | 54 (61.4) | 195 (32.4) |
| Pharmacy Guild of Australia | 93 (20.1) | 9 (17.6) | 26 (29.5) | 128 (21.3) |
| Professional Pharmacists Australia | 49 (10.6) | 6 (11.7) | 4 (4.5) | 59 (9.8) |
| National Australian Pharmacy Student Association (NAPSA) | 11 (2.4) | 9 (17.6) | 43 (48.9) | 63 (10.5) |
| International Pharmaceutical Federation (FIP) | 12 (2.6) | 3 (5.9) | 2 (2.3) | 17 (2.8) |
| None of the above# | 88 (19.0) | 7 (13.7) | 4 (4.5) | 99 (16.5) |
| Prefer not to answer# | 5 (1.1) | 0 (0.0) | 0 (0.0) | 5 (0.8) |
| Other | 43 (9.3) | 1 (2.0) | 2 (2.3) | 46 (7.7) |
| Pharmacist principal role ( | ||||
| Community pharmacy, owner | 48 (10.4) | – | – | – |
| Community pharmacy, employee | 209 (45.2) | – | – | – |
| Hospital pharmacy | 110 (23.8) | – | – | – |
| Academia | 25 (5.4) | – | – | – |
| Consultant | 33 (7.14) | – | – | – |
| Industry | 8 (1.7) | – | – | – |
| Prefer not to answer | 3 (0.7) | – | – | – |
| Other | 26 (5.6) | – | – | – |
| Intern pharmacist principal place of practice ( | ||||
| Community Pharmacy | – | 30 (58.8) | – | – |
| Hospital Pharmacy | – | 19 (37.3) | – | – |
| Industry | – | 0 (0.0) | – | – |
| Prefer not to answer | – | 0 (0.0) | – | – |
| Other | – | 2 (3.9) | – | – |
| Pharmacist years registered ( | – | – | ||
| 0–2 | 56 (12.1) | – | – | – |
| 3–5 | 77 (16.7) | – | – | – |
| 6–10 | 114 (24.7) | – | – | – |
| 11–20 | 108 (23.4) | – | – | – |
| 21–30 | 41 (8.9) | – | – | – |
| > 31 | 66 (14.3) | – | – | – |
| Current medication management review accreditation ( | ||||
| Yes | 95 (20.6) | – | – | – |
| No | 366 (79.2) | – | – | – |
| Prefer not to answer | 1 (0.2) | – | – | – |
| How often have they worked as a sole pharmacist in the last 12 months ( | ||||
| Never | 90 (19.5) | – | – | – |
| Rarely | 115 (24.9) | – | – | – |
| Sometimes | 60 (13.0) | – | – | – |
| Often | 86 (18.6) | – | – | – |
| Always | 103 (22.3) | – | – | – |
| Prefer not to answer | 8 (1.7) | – | – | – |
| Modified Monash Model Category for current practice location ( | ||||
| MM 1—Metropolitan | 320 (69.3) | 32 (62.8) | – | – |
| MM 2—Regional | 41 (8.9) | 6 (11.7) | – | – |
| MM 3—Large rural town | 29 (6.3) | 4 (7.8) | – | – |
| MM 4—Medium rural town | 8 (1.7) | 0 (0.0) | – | – |
| MM 5—Small rural town | 44 (9.6) | 6 (11.8) | – | – |
| MM 6—Remote community | 7 (1.5) | 2 (3.9) | – | – |
| MM 7—Very remote community | 9 (2.0) | 1 (2.0) | – | – |
| Prefer not to answer | 4 (0.9) | 0 (0.0) | – | – |
N = total responses for that question and population, n = total responses for that answer, % = n/N × 100%
*A multiple answer question, percentages will not add up to 100
#An exclusive answer
– Question was not asked of that respondent group
Fig. 1Respondents use of professional practice guidance resources in the past 12 months by respondent group
Respondents use of professional practice guidance resources in the last 12 months by respondent group
| Professional practice guidance resource | Registered Pharmacist | Pharmacy intern | Pharmacy student | All Respondents | ||||
|---|---|---|---|---|---|---|---|---|
| Resource Group 1—Overarching Practice Standards, Codes and Guidelines | ||||||||
| % | % | % | % | |||||
| My Health Record Guidelines for Pharmacists | 209, | 45.2 | 18, | 35.3 | 23, | 26.1 | 250, | 41.6 |
| Clinical Governance Principles for Pharmacy Services | 87, | 18.8 | 9, | 17.6 | 11, | 12.5 | 107, | 17.8 |
| Dispensing Practice Guidelines | 201, | 43.5 | 43, | 84.3 | 51, | 58.0 | 295, | 49.1 |
| Code of Ethics for Pharmacists | 181, | 39.2 | 46, | 90.2 | 56, | 63.6 | 283, | 47.1 |
| Professional Practice Standards for Pharmacists | 297, | 64.3 | 44, | 86.3 | 64, | 72.7 | 405, | 67.4 |
| Guide to Providing Pharmacy Services to Aboriginal and Torres Strait Islander People | 32, | 6.9 | 5, | 9.8 | 10, | 11.4 | 47, | 7.8 |
N = total responses for that question and population
n = total responses for that answer, e.g., yes I have used this resource in the past 12 months
% = n/N × 100%
QUM Quality Use of Medicines
Respondents reasons for using the practice guidance resources, how they used the resources, perceived usefulness and reasons for not using professional practice resources by respondent and resource group
| Reasons for using professional practice resource(s)* | Resource Group 1—Overarching Practice Standards, Codes and Guidelines | Resource Group 2—Community Pharmacy Core Professional Services Practice Guidelines | Resource Group 3—Accredited Medication Review Services Practice Guidelines | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Registered Pharmacist | Pharmacy intern | Pharmacy student | All Respondents | Registered Pharmacist | Pharmacy intern | Pharmacy student | All Respondents | Registered Pharmacist | Pharmacy intern | Pharmacy student | All Respondents | |||||||||||||
| % | % | % | % | % | % | % | % | % | % | % | % | |||||||||||||
| To familiarise myself with the contents | 206 | 56.7 | 38 | 79.2 | 49 | 68.1 | 293 | 60.7 | 173 | 54.6 | 30 | 83.3 | 33 | 67.3 | 236 | 58.7 | 99 | 60.0 | 9 | 75.0 | 20 | 58.8 | 128 | 60.7 |
| To update my knowledge | 196 | 54.0 | 26 | 54.2 | 42 | 58.3 | 264 | 54.7 | 202 | 63.7 | 24 | 66.7 | 27 | 55.1 | 253 | 62.9 | 110 | 66.7 | 7 | 58.3 | 14 | 41.2 | 131 | 62.1 |
| To check that my practice is reflective of best practice | 188 | 51.8 | 27 | 56.3 | 36 | 50.0 | 251 | 52.0 | 192 | 60.6 | 18 | 50.0 | 14 | 28.6 | 224 | 55.7 | 90 | 54.5 | 5 | 41.7 | 7 | 20.6 | 102 | 48.3 |
| For continuing professional development | 172 | 47.4 | 26 | 54.2 | 26 | 36.1 | 224 | 46.4 | 120 | 37.9 | 12 | 33.3 | 10 | 20.4 | 142 | 35.3 | 51 | 30.9 | 4 | 33.3 | 11 | 32.4 | 66 | 31.3 |
| As a teaching resource for pharmacy students, intern pharmacists, pharmacy/dispensary assistants or colleagues | 118 | 32.5 | 18 | 37.5 | 25 | 34.7 | 161 | 33.3 | 92 | 29.0 | 10 | 27.8 | 14 | 28.6 | 116 | 28.9 | 30 | 18.2 | 5 | 41.7 | 12 | 35.3 | 47 | 22.3 |
| To resolve a situation while providing a service/patient care | 90 | 24.8 | 7 | 14.6 | 8 | 11.1 | 105 | 21.7 | 87 | 27.4 | 6 | 16.7 | 5 | 10.2 | 98 | 24.4 | 30 | 18.2 | 0 | 0.0 | 1 | 2.9 | 31 | 14.7 |
| Other^ | 18 | 5.0 | 3 | 6.3 | 4 | 5.6 | 25 | 5.2 | 16 | 5.0 | 1 | 2.8 | 3 | 6.1 | 20 | 5.0 | 9 | 5.5 | 0 | 0.0 | 1 | 2.9 | 10 | 4.7 |
| I cannot remember# | 0 | 0.0 | 0 | 0.0 | 3 | 4.2 | 3 | 0.6 | 1 | 0.3 | 0 | 0.0 | 1 | 2.0 | 2 | 0.5 | 1 | 0.6 | 0 | 0.0 | 1 | 2.9 | 2 | 0.9 |
N = total responses for that question and population
n = total responses for that answer
% = n/N × 100%
*Multiple answer question, percentages will not add up to 100
+A single answer question, percentages will add up to 100
#An exclusive answer
^Indicates text response was allowed