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Community Pharmacists

Community pharmacits are healthcare professionals who play a vital role in the delivery of pharmaceutical care to patients.
They work in community settings, such as retail pharmacies, and are responsible for dispensing medications, providing drug information and counseling, and monitoring patient outcomes.
Community pharmacists work closely with other healthcare providers, such as physicians and nurses, to ensure optimal medication management and patient health.
They are an essential part of the healthcare team, contributing to the overall well-being of the communities they serve.

Most cited protocols related to «Community Pharmacists»

We adopted a similar comprehensive strategy applied in Bangladesh (Haque et al., 2020a (link)), and subsequently used among other Asian countries (Godman et al., 2020a (link); Haque et al., 2020b (link)), building on previous knowledge of activities across Africa just before and after the first cases of COVID-19 were identified in Africa (Ogunleye et al., 2020 (link)). This included a questionnaire survey among community pharmacies in Africa including Ghana, Kenya, Namibia, Malawi, Nigeria, and Zambia as well as among three comparative Asian countries including Bangladesh, Pakistan and Vietnam. Box 1 summarises the open ended questions building on published studies (Haque et al., 2020a (link); Haque et al., 2020b (link)). Impressions were requested if this was the only information available due to issues of confidentiality and culture as no payment was made to pharmacists for the information provided (Godman et al., 2020a (link); Haque et al., 2020a (link)). The objective was to assess the current situation regarding usage patterns, prices, and availability of selected medicines and PPE used in prevention and management of COVID-19 soon after the start of the pandemic. The baseline was early 2020, i.e., just before active preventative measures in a number of the countries. More specific data on actual changes in utilisation and prices was asked if this was available; however, this did not include asking the pharmacists to break down changes in utilisation patterns and prices per month as this was deemed too problematic for this initial study. In addition, it was envisaged there would be limited impact of seasonality in view of year-round influenza activity in some African countries and no real pattern in others (WHO, 2012 ; Dawa et al., 2020 (link); WHO Regional Office for Africa, 2020 ) although research is ongoing in this area to address current knowledge gaps (Sambala et al., 2018 ). In addition, generally limited use of hydroxychloroquine in immunological diseases such as rheumatoid arthritis with concerns over its effectiveness compared with other disease modifying therapies (Rempenault et al., 2020 (link)). A more detailed description of the questionnaire can be found in Haque et al. (2020a) (link).
We did not factor inflation into the impressions as the study period only covered a short time, and per annum inflation in the chosen African countries typically ranged between 6 and 16% per annum (Focus Economics, 2020 ; Trading Economics, 2020a ; Trading Economics, 2020b ; Trading Economics, 2020c ; Trading Economics, 2020d ; Trading Economics, 2020e ).
The Asian countries chosen for comparative purposes had instigated similar activities to prevent the spread of COVID-19 as those seen in Africa and where there can be high patient co-payments for medicines (Godman et al., 2020a (link)).
Convenience sampling was again used to select pharmacists through emails, telephone contact, personal contacts and other mechanisms similar to the studies across Asia (Godman et al., 2020a (link); Haque et al., 2020a (link)). As before, there was no sample size calculation as there was no previous data to base calculations upon at the start of the study and this was a pilot study with a minimum of six pharmacies contacted in all countries apart from Namibia to determine the need for additional follow-up studies.
The findings were subsequently consolidated into categories in a tabular format to aid comparisons between regions and countries, with more specific data available in country publications (Haque et al., 2020a (link); Haque et al., 2020b (link)). We believed that there would be price rises and shortages in other countries apart from Bangladesh. However, the nature and extent would depend on ongoing programmes within the country.
We also explored the situation regarding the preparedness of community pharmacists in Namibia to the pandemic to help enhance future guidance to Governments and other key stakeholder groups. This included questions on i) Key measures/interventions the pharmacy has put in place during the pandemic to curb the spread of COVID-19 in the community (maximum of three from a pre-arranged list of seven known activities); ii) Suggestions on the role (current and new) of pharmacists/pharmaceutical technicians/pharmacist assistants during current and future pandemics (up to three from a pre-arranged list of five potential activities); iii) The main challenges experienced by pharmacy personnel during the pandemic (maximum of three from a pre-arranged list of seven known activities); iv) Changes in utilization, prices and shortages of pertinent medicines and PPE used in the prevention and management of COVID-19 from the beginning of March to end June 2020 (Supplementary Appendix A1). The study was extended to the end of June to provide greater insight.
Potential future guidance for governments, pharmacists and patients will build on the experiences of the pharmacists and others involved in the study in Namibia and across all the studied countries, the co-authors and previous suggestions documented in Ogunleye et al. (2020) (link).
Ethical approval for this study was not required according to our national legislation and institutional guidelines. However, as before in Bangladesh, all pharmacists freely provided the requested information having been given the opportunity to refuse to participate. This is in line with previous studies undertaken by the co-authors in this and related areas including analysis of policies to enhance the use of biosimilars and the rationale use of medicines, pricing policies as well as issues surrounding shortages and generics, which typically involved direct contact with health authority personnel and other key stakeholders (Godman et al., 2014 (link); Godman et al., 2015 (link); Moorkens et al., 2017 (link); Godman et al., 2019 (link); Gad et al., 2020 (link); Godman et al., 2020a (link); Godman et al., 2020b (link); Godman et al., 2020c (link); Godman et al., 2020d (link); Haque et al., 2020a (link); Miljković et al., 2020a (link)).
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Publication 2020
Action Potentials Asian Americans Biosimilars Community Pharmacists COVID 19 Generic Drugs Health Personnel Hydroxychloroquine Immune System Diseases Influenza Negroid Races Pandemics Patients Pharmaceutical Preparations Pharmacy Technician Rheumatoid Arthritis Vision
Qatar’s Supreme Council of Health lists more than 120 community pharmacies in Qatar. Three community pharmacies were randomly selected from the list (2.5% sample rate). The study investigators contacted the selected pharmacies, explained to the pharmacists the study objectives, and assured them that the study would assess the public’s general attitudes towards community pharmacy practice rather than their experience with particular pharmacies. Permission was obtained to approach patients when they entered the pharmacy to ask them to participate in the study. The investigators visited selected pharmacies on different days of the week and at different times of the day to encounter a wide cross section of the community. Members of the public who appeared to be over 16 years of age and able to communicate in English or Arabic were randomly approached, provided with the study objectives, assured about data confidentiality and anonymity, and requested to participate. Patients who offered oral consent were anonymously interviewed for 20 minutes in English or Arabic based on the patient’s spoken language using a multipart pretested survey. Individuals who did not offer oral consent or were not able to answer the survey questions due to language barriers were excluded.
Data collection took place over a 5-week period during normal daytime business hours between October 2009 and November 2009. A convenience sample of around 60 patients (20 patients per study site) was selected.
The survey questionnaire was developed from similar studies done in the UK, Saudi Arabia, and Jordan, with some modification12 (link),14 ,15 (see Appendix 1). Before its implementation, the survey was translated into Arabic and pretested in both languages in a small sample of the general public (10 patients) for clarity, relevance, acceptability, and time to completion. Refinements were made to the survey accordingly.
The survey consisted of 20 open- and close-ended questions that addressed patients’ sociodemographic characteristics, their attitudes and expectations about the community pharmacist’s role, their use of community pharmacy, and their views of and satisfaction with community pharmacy services currently provided in Qatar. Sociodemographic characteristics included age, gender, marital status, country of origin, highest level of education, and occupation (Table 1). To assess patients’ attitudes and expectations about the community pharmacist’s role, a 5-point Likert scale (strongly agree, agree, neutral, disagree, strongly disagree) was used to measure the extent to which patients agreed with statements related to the different community pharmacist’s roles and responsibilities (Table 2). In addition, the patients were asked about (1) their view of the community pharmacist (Figure 1), (2) their first contact person in case of a drug-related question, (3) their reason for approaching the pharmacist before the physician, (4) the pharmacist qualities that they desire, and (5) the barriers that prevent them from asking pharmacists questions (Table 3). To evaluate their use of community pharmacy, the patients were inquired about (1) their reasons for visiting a community pharmacy (Table 4), (2) the factors that make them choose a particular pharmacy (Figure 2), and (3) the frequency of their community pharmacy visits. To gauge their satisfaction level with current pharmacy services in Qatar, a 5-point Likert scale (strongly agree, agree, neutral, disagree, strongly disagree) was used to measure the extent to which the patients agreed with statements related to their interactions with Qatar’s community pharmacists and to their perceptions of the pharmacists’ accessibility and approachability (Table 5). Finally, seven possible services were listed, and the patients were asked to specify the services that they would like see provided in community pharmacies in Qatar (Figure 3).
Completed questionnaires were coded, reviewed for accuracy, entered into a SPSS Statistics version 17.0 (IBM Corporation, Somers, NY) database and analyzed using descriptive analysis. Categorical data were calculated as frequencies and percentages, and continuous data were calculated as means and standard deviations. Five-point Likert scale responses were collapsed into three general categories (agree, neutral, disagree), and mean scores and standard deviations were computed for each statement.
Incomplete surveys were included in the analysis, provided basic demographic information and a response to the particular question was provided. Accordingly, the denominator (ie, number of respondents) for each response may vary. To minimize any potential for bias and to protect participant confidentiality and anonymity, the survey was anonymously completed, ie, no participant identification information was collected. Collected data were retained in a password-protected database and maintained along with all related study documentation in a locked office at Qatar University College of Pharmacy.
Publication 2011
Community Pharmacists Community Pharmacy Services Gender Patients Pharmaceutical Preparations Pharmaceutical Services Physicians Satisfaction
We adopted a similar multiple strategy approach to the paper of Haque et al. discussing activities in Bangladesh (4 (link)). This included updated information from a pragmatic review of the literature combined with a questionnaire survey among community pharmacies and drug store owners in India, Malaysia, Pakistan, and Vietnam, building on the findings in Bangladesh, to assess the current situation regarding usage patterns, prices, and availability of carefully selected medicines that could potentially be used in the management of COVID-19, as well as PPE in most countries, soon after the start of the pandemic (4 (link)). We also included herbal medicines in Pakistan and Vietnam as we are aware of their use in patients with COVID-19 among a number of LMICs despite concerns (209 (link), 210 (link)). Medicines included pertinent antimalarials such as hydroxychloroquine, antibiotics such as azithromycin, analgesics (general including paracetamol), vitamins and immune boosters such as vitamin C as well as PPE including face masks (Box 1). We just asked for impressions in the first instance for changes in utilization, prices, and shortages, from early March to end of May 2020 if this was the only information available due to issues of confidentiality (4 (link)). The baseline was early 2020, i.e., just before active preventative measures in a number of the countries (Table 1). More specific data on actual changes in utilization and prices was asked if this was available; however, this did not include asking the pharmacists to break down any changes in utilization patterns and prices per month as this was deemed too problematic for this initial study.
Convenience sampling was used to select pharmacists through emails, telephone contact, personal contacts and other mechanisms. Similar to the initial study in Bangladesh (4 (link)), there was no sample size calculation as there was no previous data to base calculations upon at the start of the study. In addition, the studies undertaken in Malaysia, Pakistan, and Vietnam were pilot studies to help determine the need for additional studies. All questions were again open ended with data captured on Excel spreadsheets (Box 1). A more detailed description of the questionnaire can be found in Haque et al. (4 (link)). The replies from the community pharmacists were collated where possible into logical bands for comparisons between countries including the initial analysis from Bangladesh (4 (link)). These bands were not pre-defined as this was an exploratory study, with changes in prices based on local prices and not converted into a single currency such as US dollars using current exchange rates since ascertaining actual prices was not an objective of this study. The changes in utilization and prices were absolute changes during the time period of the study. Suggested strategies going forward for all key stakeholder groups also builds on the combined experiences of the co-authors. We have successfully used this approach before to provide future direction in LMICs (4 (link), 125 (link), 211 (link)–215 (link)).
We believed that there would be price rises and shortages in other countries apart from Bangladesh. However, the nature and extent would depend on ongoing programmes within the country (Table 2) including greater price controls in India and Pakistan (79 , 105 (link)).
Ethical approval for this study was not required according to national legislation and institutional guidelines. However, as before, all pharmacists freely provided the requested information having been given the opportunity to refuse to participate if wished. This is in line with previous studies undertaken by the co-authors in this and related areas including analysis of policies to enhance the rationale use of medicines and biosimilars, pricing policies and issues surrounding generics, which involved direct contact with health authority personnel and other key stakeholders (4 (link), 125 (link), 212 (link), 216 (link)–219 (link)).
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Publication 2020
Acetaminophen Analgesics Antibiotics, Antitubercular Antimalarials Ascorbic Acid Azithromycin Biosimilars Community Pharmacists COVID 19 Generic Drugs Health Personnel Hydroxychloroquine Medicinal Herbs Pandemics Patients Pharmaceutical Preparations Secondary Immunization Vitamins
The questionnaire was developed based on a review of the literature on online health information seeking and eHealth literacy. Items from previously validated instruments were included where appropriate, including one item on self-rated health status (from SF-12 version 2 health survey [19 (link)]), and the full eHealth Literacy Scale (eHEALS) [20 (link)]. The final questionnaire consisted of 25 items, covering demographic backgrounds, health status, online health information-seeking behavior, and eHealth literacy.
The eHEALS was used because it is the most widely used validated measure of eHealth literacy; it has been validated with various population groups [20 (link)-22 (link)]. eHEALS contains eight questions on a 5-point Likert scale, of which various aspects of self-perceived eHealth literacy were measured. The sum of all items is a composite measure, with high scores indicating greater literacy. Permission was obtained from the original author for reuse and translation of eHEALS in this study.
The questionnaire was reviewed by five domain experts (two family physicians, one community pharmacist, one health education nurse, and one public health researcher), and content validity of each question was rated on a 4-point Likert scale (not relevant, somewhat relevant, quite relevant, highly relevant). The item-level content validity index (CVI) was computed as the proportion of experts who rated a question as quite or highly relevant [23 (link)]. The item-level CVIs of all questions were rated 1.00, and the scale-level CVI thus computed was also 1.00.
The Chinese version was translated by the principal investigator with feedback from the domain experts; back-translation was done by a professional translator to ensure the two language versions were conceptually equivalent [24 ]. In this study, Cronbach alpha of the Chinese version of eHEALS was .891, and that of the English version was .918, which indicates a high level of internal consistency, and matched the Cronbach alpha of .88 in the original study [20 (link)].
The questionnaires were pilot-tested on 52 patients of different gender, age, and education level, and they were individually debriefed by the principal investigator. Some minor rewordings on the Chinese version were done based on the feedback received, and the questionnaires were finalized after a second round of back-translation (Multimedia Appendices 1 and 2).
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Publication 2019
Chinese Community Pharmacists Kyphosis Nurses Patients Physicians, Family Population Group Sex Characteristics Telehealth
The new score (LMAS) was inspired by the Morisky score, adding other variables affecting adherence, discussed by the investigators with physicians and community pharmacists in a focus group. The reasons why MMAS-8 was our source of inspiration were its simplicity and validity, as well as its common use among clinicians and researchers (in Lebanon and elsewhere) to asses antihypertensives adherence. MMAS-8 contains seven questions with dichotomic answer (yes/no) and one Likert scale question with five possibilities and measures forgetfulness, medication taking behavior, and secondary effects [16 (link)]. The Arabic version of MMAS-8 had already been validated in Lebanon [17 (link)].
LMAS assessed forgetfulness by a question evaluating its frequency, inspired by merging MMAS-8's questions regarding forgetfulness which investigate the past day, the past two weeks, and the general forgetting behavior. Moreover, a question regarding the frequency of reminders' (by caregivers, alarms, etc.) use to increase adherence was added, knowing that social interactions take a privileged place in the Lebanese culture and that reminders might affect adherence. Also inspired from MMAS-8, we included questions evaluating adherence change if the patients felt clinically better or worse, but behavior change if laboratory exams improved was added to LMAS. Furthermore, adherence when away from home was included in the new score, with an adaptation by adding suggestions of outdoor diner or lunch. A question regarding adherence during busy periods was also included in LMAS. In addition, economic factors, like adherence when health coverage does not pay for the medicine and delay in buying a new pills box when the old one becomes empty, were included in LMAS. Besides, adherence behaviors in case of boredom, if some food items were prohibited during treatment period, or if the patient or his neighbor (because these issues could be discussed often between Lebanese patients) experienced any secondary effects, were evaluated. Likewise, adherence behavior when the patients noticed that they took a lot of pills was tested. Consequently, LMAS contained 16 Likert scale questions with four options to answer each (coded from zero (less adherence) to three (higher adherence)) and was subject to validation.
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Publication 2018
Acclimatization Antihypertensive Agents BAD protein, human Boredom Community Pharmacists Contraceptives, Oral Equus asinus Feelings Food Laryngeal Masks omega-N-Methylarginine Patients Pharmaceutical Preparations Physicians

Most recents protocols related to «Community Pharmacists»

This research has employed a multi-phase sampling technique. First, a cluster sampling method was used where five regions in Saudi Arabia i.e., Eastern Province, Riyadh, Asir, Madinah, and Northern Borders were selected for data collection as each belong to a different part of the country. Potential participants who visited the community pharmacy were invited to take part in the study and fill out the self-administered questionnaire through five community pharmacists working in the different above-mentioned regions. Second, in attempts to increase the response rate a convenience sampling method was used which involved advertising the questionnaire link through social media platforms, including WhatsApp and Telegram groups in Saudi Arabia.
The minimum recommended sample size was estimated to be 385 participants based on a population size of 36,000,000 persons (10 (link)), with a 5% margin of error, a 95% confidence level and a 50% response distribution.
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Publication 2023
Community Pharmacists
The questionnaire was adapted from previous research (1 (link), 5 (link), 9 (link)) and it involved a total of four sections. Section One collected sociodemographic information, i.e., age group, gender, nationality, marital status and educational level. Section Two involved questions related to the use of the community pharmacy and it assessed participants' satisfaction with the community pharmacy services in Saudi Arabia. Section Three evaluated participants' willingness to use different pre-determined community pharmacy services. Section Four gathered data on barriers that would prevent patients from approaching a community pharmacist for help or advice.
The original version of the questionnaire was prepared in the English language, and then translated into Arabic. In order to ensure the validity of the translation, a back translation technique was undertaken by the study investigator and two translators who have excellent proficiency in both languages.
In order to ensure the clarity of the questions, the questionnaire was pilot-tested with seven participants who met the inclusion criteria of the study. Modifications were made on the questionnaire based on the pilot test feedback. The data from the pilot study were excluded from the final results. The final questionnaire was distributed in the Arabic language, which is the official language of Saudi Arabia.
The questionnaire was created using the Google forms platform. An introductory statement inviting eligible subjects to participate in the study, and highlighting the aim of the study and the inclusion criteria, was added to the survey link. The cover page of the questionnaire displayed a participant information sheet with detailed information about the conduct of the study.
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Publication 2023
Age Groups Community Pharmacists Community Pharmacy Services Gender Patients Satisfaction
An online survey of community pharmacists (e.g., big-box, chain, independent, or grocery pharmacies) in the State of Connecticut was conducted between July 29–September 29, 2020.
Four-hundred respondents were sought for participation as a convenience sample. Respondents included pharmacists licensed in Connecticut who attested to (1) having practiced on average at least 20 hours a week after March 1, 2020, in a brick-and-mortar community pharmacy physically located in Connecticut; and (2) having regular and physical face-to-face interactions with the public in their provision of pharmacy services. No other requirements, such as time licensed or degree earned were required. Pharmacists working remotely, in medical marijuana dispensaries, or in other non-community pharmacy settings were excluded from the study. This study was reviewed and approved by the University of Connecticut Institutional Review Board. Participants' responses were collected anonymously.
Survey items that measured perceptions of confidence were developed from domains in the Emergency Risk Communication (ERC) framework.7 (link) Developed in 2017 by Savoia, Lin, and Gamhewage, the ERC was chosen as this study's conceptual framework as it serves to guide the development of studies that assess communication outcomes related to public health emergencies. Domains of the ERC are broadly categorized into three groups, including (1) information environment, (2) populations, and (3) public health systems. Respective to each domain, three correlating items questioned respondents' confidence in (1) proving information to the public, (2) managing their own and others' mental health, and (3) performing point of care testing (POCT) mitigation. A fourth item sought to explore if stress (i.e., “risk perception, emotions and trust” in the ERC) related to pharmacists' avoidance of risk communication (i.e., “knowledge, attitudes and practices” in the ERC).
Respondents were also asked questions from the Perceived Stress Scale (PSS-10), developed by Cohen et al. in 1983.8 (link) In the PSS-10, respondents were asked how often they feel a certain way on a five-point scale from ‘never’ (1) to ‘very often’ (5). To calculate a total PSS-10 score, responses to the positively stated items were reversed and then summed across all items. Higher scores indicate higher levels of perceived stress. Other items included a mix of multiple-choice and Likert scales; free-text boxes were included without forced response for the participant to provide comments or clarification.
Two community pharmacists matching the inclusion/exclusion criteria beta-tested the survey for clarity and content before distribution; their data were not included in the analysis.
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Publication 2023
Community Pharmacists Emergencies Emotions Ethics Committees, Research Face Feelings Mental Health Pharmaceutical Services Physical Examination Population Group
The eligibility criteria used to assess the tweets included: 1. Containing at least one of the keywords that refers to an antidepressant(s) or the term ‘antidepressant’; 2. Written in English; 3. Posted between a 10-day period between 14th June 2022 and 23rd June 2022; 4. Containing original text; 5. Posted by a user who self-identified as a healthcare provider. Several preliminary searches determined a 10-day span would be feasible considering the scale of data and the capability of manual analysis. Posts on Twitter are generally categorised into tweets (including those that quoted another tweet), retweets and replies. For this study, only tweets and replies were included, since retweets are identical reposts and thus were considered duplicate content.
The inclusion/exclusion criteria were applied within Microsoft Excel, by authors manually reviewing the textual data. Microsoft Excel allowed screening and excluding data easily according to our criteria 1–4. For criterion 5, user profiles (names and bios) associated with the identified tweets were assessed for eligibility, whereby tweets posted by healthcare providers were eligible and categorised by their roles byYD. The definition of “healthcare providers” (Table 1) was adapted from the version defined by Lee et al. which was previously used to conduct a Twitter analysis of healthcare providers.42 (link) It was expanded in this study to”relevant healthcare professionals, providers and students”, who were considered people or organisations which the general public may expect to be more knowledgeable about healthcare, such as physicians (including psychiatrists), nurses, pharmacists, psychologists, researchers, medical students, and organisations in medical fields and other allied professionals (e.g, therapists, dietitians). Where there was ambiguity over someone's eligibility due to dubious expression over their role, a second researcher (NW) was consulted. If it was not certain that they were a healthcare provider, i.e., they did not use definitive terminology such as ‘pharmacist’ or ‘medic’, they were not included in the analysis. The content of the tweet text had not been considered in this stage to avoid bias.

Descriptions and Examples of Categories of Healthcare Providers Identified: This table explained the classification of healthcare providers in this study and listed some examples of their presentations. Identifying information was adapted.

Table 1
CategoryDescriptionExample Bio (partially adapted)
PhysiciansPhysicians, psychiatrists, doctors from various clinical subjects, dentists, ophthalmologists“MD […] #physiatrist […]”, “Maternal-Fetal Medicine Physician”, “MBBS (GMC, […])”, “Doctor | Special interest in Long Covid […]”, “Clinician-scientist […]”
NursesNurses, nurse practitioners, registered nurses, retired nurses“Mom, nurse, wife, daughter, and sister. […]”, “STICU Nurse. […]”, “28. Labor & delivery RN. […]”
PharmacistsPharmacists, mental health pharmacists, clinical pharmacists from various clinical subjects“PharmD/writer w/30y exp.Infect Diseases. […]”, “Retail Pharmacist”, “Mental Health Clinical Pharmacist Practitioner […]”
PsychologistsPsychologists, clinical psychologists“Dual national,CPsychol, accidental academic. […]”, “A retired developmental psychologist […]”
Medical StudentsMedical students, MD and PharmD candidates, students of biomedical areas“PGY-1 in rural/full-spectrum family med […]”, “[…] | Med student | […]”, “Internal medicine residency applicant”
OrganisationsHospitals, clinics, healthcare businesses, academic groups, journals, medical information providers, charities“Real vitamins for physical and mental health. […]”, “Original research in physiology with an emphasis on adaptive and integrative mechanisms | An @APSPhysiology journal”, “ACTIV-6 is a research study testing repurposed medications to understand if they can help people with mild-to-moderate COVID-19 feel better faster.”
ResearchersIndividual researchers specified in biomedicine, mental health, public health areas“COVID scientist; Associate Professor of Psychiatry @[…]”, “Training psychiatrist/research fellow @[…]”, “Researcher in Pharmacognosy, Pharmacology & Pharmacy. […]”
Others Allied ProfessionalsTherapists, dieticians, nutritionists, midwives, social workers, hygienists, health care educators, unspecified professionals“Social worker in […]”, “[…] Mental Health Therapist […]”, “Health Care Provider, […]”, “NHS midwife, […]”, “Registered Dietitan, Cannabis practitioner, […]”
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Publication 2023
Accidents Acclimatization Antidepressive Agents Cannabis Clinical Pharmacists Community Pharmacists COVID 19 Daughter Dentist Dietitian Eligibility Determination Feelings Health Care Professionals Health Educators Health Personnel Hygienist, Dental Medical Residencies Mental Health Midwife Nurses Nutritionist Obstetric Delivery Obstetric Labor Ophthalmologists Pharmaceutical Preparations Physiatrists Physical Examination Physicians physiology Post-Acute COVID-19 Syndrome Practitioner, Nurse Psychiatrist Psychologist Registered Nurse Student Students, Medical Vitamins Wife Worker, Social
Since 1995, the 811 Info-Santé service has been deployed through a single number (referred to as 811) in order to offer quick and direct telephone access to professional expertise, 24 hours a day, 365 days a year, at no cost to users.18 Call handlers are nurses, and they should evaluate the person’s health status, make recommendations based on this evaluation, or direct the person to the most appropriate resource. Since 2015, the Ask Your Pharmacist (AYP) is available as a direct-to-consumer service available on-line. It allows citizens to communicate in an asynchronous way with a community pharmacist through a two-way messaging system, by asking a question to and receiving an answer from a participating pharmacist located close to the citizen’s place of residence. The answers to the questions may be publicly disclosed by the pharmacists, at their discretion, and become available on-line. In May 2021, there were close to 15,000 public answers accessible on AYP.
A pilot project creating an on-line bridge between Info-Santé 811 and AYP was developed and implemented in three 811 call centres from September 2020 to April 2021. The 811 nurses could redirect the calls requiring a pharmacist’s expertise to the AYP platform by directly sending the question to the pharmacists using a dedicated interface (Supplemental Figure 1). A link would be sent to the patient to register to the AYP service by e-mail, and the question would be dispatched to participating pharmacists using the AYP service. The patient would be contacted by a pharmacist to answer his/her question by e-mail. An incentive of $10 per 811-referred question answered would be offered to pharmacists. A detailed description of the service and implementation is available in French.17
Publication 2023
Community Pharmacists Nurses Patients

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More about "Community Pharmacists"

Community Pharmacists, also known as retail pharmacists or local pharmacists, are essential healthcare professionals who play a crucial role in delivering comprehensive pharmaceutical care to patients.
They work in various community settings, such as neighborhood pharmacies, drugstores, and supermarket pharmacies, where they are responsible for a wide range of tasks.
Community Pharmacists are responsible for accurately dispensing prescribed medications, ensuring patients receive the right drugs in the correct dosages.
They provide valuable drug information and counseling, educating patients on proper medication use, potential side effects, and drug interactions.
These healthcare providers work closely with physicians, nurses, and other members of the medical team to monitor patient outcomes and optimize medication management.
The community pharmacy setting allows these professionals to develop strong relationships with the local population, making them an integral part of the healthcare system.
They contribute to the overall well-being of the communities they serve by promoting preventive care, offering health screenings, and providing immunizations.
Community Pharmacists utilize a variety of tools and resources to support their work, such as sample size calculators, SPSS (Statistical Package for the Social Sciences) software versions 20, 21, 22, 25, and 26, online calculators, and qualitative data analysis tools like NVivo.
These tools help them conduct research, analyze data, and make data-driven decisions to enhance the quality of care they provide.
By leveraging their expertise and the latest technologies, Community Pharmacists play a vital role in improving patient outcomes, ensuring medication safety, and contributing to the overall effectiveness of the healthcare system.