Management of common minor ailments in Qatar: Community pharmacists' self-perceived competency and its predictors

Identifying training needs of practising community pharmacists in Jordan-a self-assessment study

BACKGROUND

Being the professional membership body for pharmacists in Jordan, the Jordan Pharmacists Association (JPA) took the initiative to establish a training centre for practising pharmacists. This study aims to identify the self-assessed training priorities of community pharmacists in Jordan.

METHODS

In the period between August and October 2022, an online self-administered questionnaire was distributed using a variety of participants' identification and recruitment approaches. The questionnaire targeted currently practising community pharmacists. Data were analysed descriptively and inferentially.

RESULTS

In total, 470 community pharmacists participated in this study. Of 470 participants, 307 (65.3%) were employees, of which 206 were full-time employees. Results showed that only 97 (21%) had access to an in-house training programme or scheme. Self-assessment of training needs highlighted differences between the three competencies clusters. While administrative and managerial skills and competencies were more frequently prioritised on average than the other two clusters, interpersonal and communication skills were needed the least. Evidence showed a significant difference between female and male participants regarding the need for training addressing maternity and early childhood health training issues. Lastly, the role-based comparison showed that, compared to pharmacy owners, employees had a significantly higher need for training related to bookkeeping and taxation returns preparation and how to handle and manage records of narcotic and controlled medicines.

CONCLUSIONS

If training and development programmes are tailored to address specific needs in administrative, clinical, and interpersonal competencies, community pharmacists have the potential to enhance public health, expand their role, provide patient-centred care, and support the national healthcare system.

Identification of high-risk patients for referral through machine learning assisting the decision making to manage minor ailments in community pharmacies

Background: Data analysis techniques such as machine learning have been used for assisting in triage and the diagnosis of health problems. Nevertheless, it has not been used yet to assist community pharmacists with services such as the Minor Ailment Services These services have been implemented to reduce the burden of primary care consultations in general medical practitioners (GPs) and to allow a better utilization of community pharmacists' skills. However, there is a need to refer high-risk patients to GPs. Aim: To develop a predictive model for high-risk patients that need referral assisting community pharmacists' triage through a minor ailment service. Method: An ongoing pragmatic type 3 effectiveness-implementation hybrid study was undertaken at a national level in Spanish community pharmacies since October 2020. Pharmacists recruited patients presenting with minor ailments and followed them 10 days after the consultation. The main outcome measured was appropriate medical referral (in accordance with previously co-designed protocols). Nine machine learning models were tested (three statistical, three black box and three tree models) to assist pharmacists in the detection of high-risk individuals in need of referral. Results: Over 14'000 patients were included in the study. Most patients were female (68.1%). With no previous treatment for the specific minor ailment (68.0%) presented. A percentage of patients had referral criteria (13.8%) however, not all of these patients were referred by the pharmacist to the GP (8.5%). The pharmacists were using their clinical expertise not to refer these patients. The primary prediction model was the radial support vector machine (RSVM) with an accuracy of 0.934 (CI95 = [0.926,0.942]), Cohen's kappa of 0.630, recall equal to 0.975 and an area under the curve of 0.897. Twenty variables (out of 61 evaluated) were included in the model. radial support vector machine could predict 95.2% of the true negatives and 74.8% of the true positives. When evaluating the performance for the 25 patient's profiles most frequent in the study, the model was considered appropriate for 56% of them. Conclusion: A RSVM model was obtained to assist in the differentiation of patients that can be managed in community pharmacy from those who are at risk and should be evaluated by GPs. This tool potentially increases patients' safety by increasing pharmacists' ability to differentiate minor ailments from other medical conditions.

Predictors of enablers and barriers to community pharmacists' management of minor ailments in a developing setting: A theory-driven assessment

BACKGROUND

The clinical and financial burdens associated with minor ailments are well documented, but published evidence suggests that minor ailment services led by community pharmacists have a remarkable positive impact, mainly in developed settings. There is a paucity of evidence on community pharmacists' self-perceived enablers and barriers to the effective management of minor ailments.

OBJECTIVES

The objective of the study was to identify community pharmacists' self-perceived enablers and barriers to the effective management of minor ailments as well as their significant predictors.

METHODS

A Kurt Lewin's theory-driven cross-sectional survey of 305 community pharmacists was conducted in Qatar using a pretested 25-item structured questionnaire developed with an adapted conceptual framework focused on 4 key areas: education, regulation, practice, and research. Bivariate logistic regression was used to identify significant predictors of community pharmacists' self-perceived enablers and barriers.

RESULTS

The response rate was 92.5% (282/305). Most of the respondents (68.1%) were males, who were 31-40 years of age (55.3%) and worked for pharmacy chains (77.3%). Community pharmacists identified a higher proportion of enablers (positive force) (82.4%) relative to only 3 barriers (negative force) (17.6%). The barriers identified included insufficient private or semiprivate space for patient counseling, the paucity of invitations to participate in practice-based research, and lack of feedback regarding the results and recommendations of previous research in which they were participants. The significant predictors of self-perceived enablers and barriers were female gender (odds ratio [OR], 2.21; 95% CI, 1.25-3.91; P = 0.007) and age group of ≤40 years (OR, 4.74; 95% CI, 3.50-7.16; P = 0.006).

CONCLUSION

Community pharmacists' perceptions of the factors that enhance their effective management of minor ailments were overwhelmingly positive, as 14 enablers were identified relative to only 3 barriers. Female and young community pharmacists were significantly more likely to perceive enablers than barriers. The insights provided are potentially useful in developing pharmacy-based schemes to improve the effective management of minor ailments.

Strengthening patients' triage in community pharmacies: A cluster randomised controlled trial to evaluate the clinical impact of a minor ailment service

Background

Self-perceived minor ailments might conceal other health conditions if patients are not appropriately assisted by health care professionals. The aim of the study was to evaluate the patient-related outcomes of a community pharmacy Minor Ailment Service (MAS) compared to usual pharmacist care (UC).

Methods

A cluster randomised controlled trial was conducted over six months in community pharmacy in the province of Valencia (Spain). Patients seeking care or requesting a product for a minor ailments considered in the study (dermatological problems, gastrointestinal disturbance, pain and upper respiratory tract related symptoms) were included. The intervention consisted of a standardised pharmacist-patient consultation guided by a web-based program using co-developed management protocols and patients’ educational material. Patients were followed up by phone ten days later. Primary clinical outcomes were appropriate medical referral and modification of direct product request. Secondary outcomes were symptom resolution and reconsultation rates.

Results

A total of 808 patients (323 MAS and 485 UC) were recruited in 27 pharmacies of 21 municipalities. Patients visiting MAS pharmacies had higher odds for being referred to a physician (OR = 2.343, CI95% = [1.146–4.792]) and higher reconsultation rates (OR = 1.833, CI95% = [1.151–2.919]) compared to UC. No significant differences between groups were observed for modification of direct product request and symptom resolution.

Conclusions

The use of management protocols through the MAS strengthened the identification of referral criteria such as red flags in patients suffering minor ailments. These patients with symptoms of minor ailments possibly due to more severe illness were to be referred and evaluated by physicians. Results reinforce that MAS increases safety for those patients consulting in community pharmacy for minor ailments.

Trial registration

Trial registration number:ISRCTN17235323. Retrospectively registered 07/05/2021, https://www.isrctn.com/ISRCTN17235323.