Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review
Abstract
:1. Introduction
2. Methods
2.1. Information Sources and Databases Search Strategy
2.2. Study Selection Criteria
2.3. Data Screening and Extraction
2.4. Outcomes of Interests
2.5. Risk of Bias
2.6. Data Synthesis
3. Results
3.1. Characteristics of the Included Studies
3.2. Risk of Bias
3.3. Characteristics of Pharmacist-Delivered Services
3.4. Outcomes of Pharmacist-Delivered Services
4. Discussion
5. Further Research
6. Strengths and Weaknesses
7. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Author (year) | Objective | Study Design | Sample Size | Mean Age (years) | Study Duration | Country and Setting | Included Patient Characteristics | Outcomes Assessed | Quality of Studies total Score * |
---|---|---|---|---|---|---|---|---|---|
Perez et al., 2020 | Comparison of clinical pharmacists’ interventions between two care groups COVID-19 positive and COVID-19 negative and to identify drugs that require special attention | Prospective cohort study | N = 438, COVID-19 positive status group: 222 COVID-19 negative status group: 216 | COVID-19 positive group: 68.0 COVID-19 negative group: 69.0 | 1 month | Single centre, Bedside of Lille University Hospital, France | Patients admitted to COVID-19 units in the study hospital during the study duration, and those who benefitted from the pharmaceutical care were included in the study | Drug prescribing errors | 8 |
Ibrahim et al., 2020 | Differences in rates and types of pharmacist interventions related to COVID-19 and medication dispensing errors across community pharmacies with and without tele pharmacy services. | Prospective cohort study | N = 52, 26 Tele pharmacies (Test group), 26 traditional pharmacies (control group) | NR | 1 month | Community pharmacies in all 7 states of the United Arab Emirates | Community pharmacies within the study locality that offered tele pharmacy services to COVID-19 patients vs. those that didn’t provide tele pharmacy. | Medication dispensing errors | 7 |
Collins et al., 2020 | To describe the institution’s strategy to deploy pharmacy resources and standardize pharmacy processes to optimize the management of patients with COVID-19. | Retrospective cohort study | N = 197 | 67 ± 16.7 | Half month | 537-bed teaching hospital located in Michigan, USA | All patients during the study period with a documented pharmacy intervention and a positive SARS-CoV-2 test were included in the analysis. | Optimize the management of patients with COVID-19 and quantify the volume and scope of pharmacist interventions. | 5 |
Wang et al., 2021 | Share professional experiences on medication optimization and provide a feasible reference for the pharmaceutical care of critically ill patients with COVID-19. | Retrospective cohort study | N = 22 | 66.3 | Followed for the duration of inpatient stay in ICU | First Affiliated Hospital of Zhejiang University, China | Critically ill COVID-19 patients admitted to ICU for whom clinical pharmacists made medication recommendations. | Medication optimization | 3 |
Alwhaibi et al., 2021 | Assess types of interventions made and medication errors encountered by Pharmacists providing health care services to critically ill COVID-19 patients. | Retrospective cohort study | N = 79 | 58.8 | Followed until patients are transferred to another ward/ discharged/died | Diriyah hospital in Riyadh, Saudi Arabia | Critically ill patients of COVID-19 admitted to ICU were included. | Identification of medical errors | 5 |
Al-Quteimat et al., 2022 | To study the role of the hospital pharmacists in the management of admitted patients with COVID-19 by analyzing the documented pharmacists’ clinical interventions and assess their type, rate, acceptance by physicians, clinical significance, and impact on overall patient care processes. | Retrospective cohort study | N = 202 | 46.3 | 4-month | 360-bed tertiary care hospital in the United Arab Emirates, Abu Dhabi | Adult patients (age ≥ age 18) with confirmed COVID-19 diagnosis. | Clinical significance of pharmacist-initiated therapy optimization. | 5 |
Authors | Recipients | Mode of Contact with the Recipient | Setting Where Recipient Received Treatment | Methods of Communication | Clinical Data Sources | Classification of Intervention | Pharmacist Action(s) | Timings of Pharmacists Action | Frequency of Contacts | Materials that Support Action(s) | Changes in Therapy and Lab Tests Reported |
---|---|---|---|---|---|---|---|---|---|---|---|
Perez et al., 2020 | COVID-19 Patients and physicians | One-to-one contact with Patients and Physicians | Hospital bedside | Written messages, Phone calls | Databases of patients’ medical history, medical prescriptions through EMR and CPOE. | Prescription analyses were performed as defined by the French Society of Clinical Pharmacy (SFPC). | Pharmaceutical care interventions (drug-related problems, non-conformity to guidelines, drug follow-up, under/overdosage, drug without indication, side effect, inappropriate administration, drug interactions). | Throughout the patient’s stay in the hospital. | Daily | EMR, written messages and phone calls | Yes |
Surapat et al., 2020 | COVID-19 Patients and physician | One-to-one with Patients and Physicians | Hospital bedside | Phone call or mobile chat application | Admission record, doctor’s orders, medication history, laboratory data, X-ray/CT scan reports, and progress notes. | Followed Thailand’s national guidelines | TDM, drug dose consultations, adverse effect monitoring | Throughout the patient’s stay in the hospital. | Daily | EMR | Yes |
Ibrahim et al., 2020 | COVID-19 Patient | One to one Face to face contact with patients. | Recipient’s home | Phone calls, Social media, video conferencing | NR | CDC guidelines and MDE classification | Pharmacies in the test group utilized the available IT tools to deliver remote pharmaceutical services like filling out prescriptions, medication reviews, patient counselling, and home. Delivery of medications to patients, | NR | NR | EMR | Yes |
Collins et al., 2020 | COVID-19 Patients and physicians and other care providers | One-to-one contact with a physician but no direct contact with patients. | Hospital bedside | Phone calls, instant messaging, and secure text messaging. | EMR | COVID-19 syndrome-specific intervention was developed. | Pharmaceutical care, optimization of medication therapy, streamlining of regimens for nursing workflow efficiency, and managing drug shortages. | Throughout patient admission | Daily | Written Documentati and EMR | Yes |
Wang et al., 2021 | COVID-19 Patients and physicians | One-to-one contact with patient and Physicians. | Hospital bedside | NR | Comprehensive medical history and multidisciplinary ward rounds. | Pharmaceutical Care Network Europe Foundation Classification V 9.0 | Identify drug-related problems, and make medication recommendations. | Throughout patient admission | Daily two time | EMR | Yes |
Alwhaibi et al., 2021 | COVID-19 Patients | NR | Hospital bedside | NR | EMR | NR | Overcome drug class duplicate, missing drug, error in dosing regimen, in cases where medication is not available, reject drug order, re-order requested and non-privileged prescriber. | Throughout patient admission | Daily | EMR | Yes |
Al-Quteimat et al., 2022 | COVID-19 Patients and physicians | One-to-one contact with a physician | Hospital bedside | Epic®; (I-Vent) built in the electronic hospital health information system. | EMR | Local institutional guideline | Optimization of therapy, avoidance of adverse drug the events, improved communication, and cost savings. | Throughout patient admission | Daily | EMR | Yes |
Author | Number of Interventions Performed | Dosage Errors Identifications & Resolution | Adverse Drug Reactions | Drug Modification | Drug Interactions | Removal of Obsolete/Duplicate Medications | Miscellaneous OUTCOMES | Physician’s Level of Acceptance |
---|---|---|---|---|---|---|---|---|
Perez et al., 2020 | —A total of 188 PIs were performed on the medication prescriptions of 118 patients: 64 and 54 interventions for positive and negative groups, respectively resulting in 1.6 Inter/patient. | —Incorrect dosage represented 36.7% (69/188) interventions: 27.9% (29/104) for the COVID-19-positive group and 47.6% (40/84) for the COVID-19-negative group. —Duplicate medication and non-adjustment of heparin to renal function) and concerned 24.4% (10/41) of PIs on antithrombotic: six and four PIs for positive and negative groups, respectively. | NR | —Antithrombotic agents (PIs = 20.7%, 39/188), antibacterial for systemic use (PIs = 13.8%, 26/188), and drugs for gastric acid-related disorders (PIs = 6.4%, 12/188) were modified. | NR | —The most frequent PI in 34% (64/188) of cases was terminating a drug: 27.9% (29/104) for the COVID-19- positive group and 47.6% (40/84) for the COVID-19- negative group. | —Second drug-related problem was the non-conformity with guidelines —No interventions were made for COVID-19-specific drugs like remdesivir. —Therapeutic care of patients with general anti-infective agents for systemic use represented 17.6% (33/188) of PIs in both groups. —PIs guided three patients about the appropriate use of inhaling devices when transferred to pneumology wards. | —COVID-19-positive patients were 88.5% (92/104). —COVID-19-negative patients were 90.5% (76/84). |
Surapat et al., 2020 | NR | NR | —PIs managed the common ADRs e.g., diarrhoea, body rashes, and induced hepatitis caused by protease inhibitors, azithromycin and tocilizumab. | NR | NR | NR | —PIs managed critically ill patients, including TDM. —Individualized drug dosing in special populations like chronic kidney disease and liver disease patients. | NR |
Ibrahim et al., 2020 | NR | —PIs in the test group reported (16.5%) wrong quantity errors. —Control group reported (20.7%) wrong quantity and (9.3%) wrong strength errors. | NR | —PIs optimized overdose in test group 296 (4.0%) and control group 66 (2.1%) —Optimized sub-therapeutic dose or duration in test group 166 (2.3%) and control group 41 (1.3%). | —PIs changed medication due to potential DDI or contraindication (potential allergy, pregnancy, etc.) in test group 1497 (20.4%) and control group 507 (16.4%). | —PIs removed duplicate drugs in test group 564 (7.7%) and control group 91 (2.9%) | —PIs detected errors in test group pharmacies were wrong patient (37.5%), followed by * wrong drug (20.3%). —Control group: wrong drug errors related PIs (40.9%). | NR |
Collins et al., 2020 | —A total of 1572 PIs were documented in 197 patients. —The average number of inter/patient were 8. | —Dosing adjustment represented 242 (15.4%) PIs. | —43 (2.7%) PIs avoided and managed Adverse drug events. | —250 (15.9%) PIs simplified the therapeutic regimen. | —Drug-drug interactions 32 (2%). | NR | —66.7% of interventions were done in ICU patients. —Prophylaxis 155 (9.9%) —Electrolytes 57 (3.6%) —Fluid management 50 (3.2%)—Nonspecific interventions (12.6%). | NR |
Wang et al., 2021 | —A total of 111 PIs were reported. —The average number of inter/patient were 5.04. | —Dose adjustment represented 17 (15.3%) PIs. | —58 (52.3%) PIs avoided and managed Adverse drug events. | — 22 (19.8%) PIs added a new drug to gain better therapeutic outcomes. | NR | —PIs did drug discontinuation in 35 (31.5%) interventions. | —64 PIs were related to antibiotics and antifungal drugs, 39/64 (60.9%) for treatment effectiveness and 25/64 (39.1%) for adverse drug events. | —The acceptance rate of PIs was 106 (95.5%). |
Alwhaibi et al., 2021 | —A total of 470 PIs were reported. —The average number of inter/patient were 5.9. | —151 (32%) PI solved the errors due to dosing adjustments. E.g., dose, duration, infusion rate, missing dose, missing information. | NR | NR | NR | —Drug class duplicate 55 (11.7%). For example, The patient is on Vancomycin and prescribed Linezolid. | —40.6% of PIs deal with the medication shortage of which 40.3% were substituted with alternative medications. —Most common pharmacological groups associated with interventions were antibiotics 16.8%, electrolytes/minerals 11.7%, and vitamins 9.4%. | NR |
Al-Quteimat et al., 2022 | —A total of 484 PIs were reported. —The average number of inter/patient were 2.4. | —Pharmacist did 26 (5.4%) interventions in dosage changes. —Pharmacist did 19 (3.9%) interventions to convert intravenous dose to oral dose. | —18% of the interventions resulted in preventing potential adverse drug reactions. | —12 (2.5%) interventions were done related to therapeutic modifications. —Admission medication reconciliation 26 (5.4%). —Drug therapy recommendations 14 (2.9%). | NR | —Pharmacist did 19 (3.9%) drug discontinuation interventions. —Resolving duplicate therapy 22 (4.5%). | —Pharmacists did (149, 30.8%) antibiotics stewardship interventions were, constituting 31.1% of the total interventions. —Overall, 50.8% (246) of the interventions rated “moderate” clinical significance using the clinical significance scoring tool. — “Optimized therapy” was the most commonly reported outcome (58.8%) of PIs. | —The physicians’ acceptance rate of was 94.7% (357 accepted out of 377 interventions included). |
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Ahmed, A.; Tanveer, M.; Shrestha, S.; Khatiwada, A.P.; Khanal, S.; Dujaili, J.A.; Paudyal, V. Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review. Healthcare 2022, 10, 1630. https://doi.org/10.3390/healthcare10091630
Ahmed A, Tanveer M, Shrestha S, Khatiwada AP, Khanal S, Dujaili JA, Paudyal V. Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review. Healthcare. 2022; 10(9):1630. https://doi.org/10.3390/healthcare10091630
Chicago/Turabian StyleAhmed, Ali, Maria Tanveer, Sunil Shrestha, Asmita Priyadarshini Khatiwada, Saval Khanal, Juman Abdulelah Dujaili, and Vibhu Paudyal. 2022. "Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review" Healthcare 10, no. 9: 1630. https://doi.org/10.3390/healthcare10091630
APA StyleAhmed, A., Tanveer, M., Shrestha, S., Khatiwada, A. P., Khanal, S., Dujaili, J. A., & Paudyal, V. (2022). Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review. Healthcare, 10(9), 1630. https://doi.org/10.3390/healthcare10091630