| Literature DB >> 35961937 |
Lan My Le, Sajesh K Veettil, Daniel Donaldson, Warittakorn Kategeaw, Raymond Hutubessy, Philipp Lambach, Nathorn Chaiyakunapruk.
Abstract
BACKGROUND: The underutilization of immunization services remains a big public health concern. Pharmacists can address this concern by playing an active role in immunization administration.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35961937 PMCID: PMC9448680 DOI: 10.1016/j.japh.2022.06.008
Source DB: PubMed Journal: J Am Pharm Assoc (2003) ISSN: 1086-5802
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart. Abbreviations used: CENTRAL, Cochrane Central Register of Controlled Trials; RCT, randomized controlled trial.
Characteristics of studies included in meta-analysis
| Author and year | Country | Study design | Setting | Intervention and comparison | Type(s) of immunization | Pharmacist role | Outcome | Duration of interventional practice | Age groups | n, treatment/control | Bias assessment |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ginson et al., | Canada | Cluster RCT | Hospital | Written or verbal information of vaccines from a pharmacist | Influenza and pneumococcal | Educator/Advocator | Immunization rate | 3 mo | ≥ 65 | 50/52 | Some concerns |
| Higginbotham et al., | United States | RCT | Primary health care center | Compare 3 protocols: P1: administered INA only (comparison); P2: identified patients not current on immunization using INA, pharmacist recommended and administered the needed vaccines; P3: INA results and a vaccine education sheet were given to the patients | Influenza, pneumococcal, tetanus, hepatitis A, hepatitis B, MMR, varicella, meningococcal, HPV, and shingles | Immunizer | Immunization rate | 4 mo | 18–79 | P1: | Some concerns |
| Klassing et al., | United States | RCT | Community pharmacy | Personal phone call, standardized mail letter | Influenza and pneumococcal | Advocator | Immunization rate | 4 mo | ≥ 18 | Phone call: 276 | High risk of bias |
| Marra et al., | Canada | Cluster RCT | Community pharmacy | Personalized invitation letters to the eligible clients inviting them to be vaccinated at the pharmacy clinics, pharmacist educate patients on the benefits of vaccination | Influenza | Immunizer/Educator/Advocator | Immunization rate | 2 y | ≥ 65 and < 65 | 61,623/73,626 | Some concerns |
| Nipp et al., | United States | RCT | Pharmacy | Pharmacists perform medication and vaccination history review, evaluate medication indications and recommend medications/vaccination | Influenza and pneumococcal | Advocator | Immunization rate | 2 mo | ≥ 65 | 29/31 | Some concerns |
| Otsuka et al., | United States | RCT | General internal medicine clinic | Information on herpes zoster vaccine by electronic message or letter to personal and nonpersonal health record users, respectively. Pharmacist performed medical record review to confirm herpes zoster vaccine indication | Herpes zoster | Advocator | Immunization rate | 6 mo | ≥ 60 | 500/2089 | Some concerns |
| Usami et al., | Japan | Cluster RCT | Community pharmacy | Pharmacists provide information on the risk of influenza and benefits of influenza vaccination, display posters and leaflet | Influenza | Educator/Advocator | Immunization rate | 5 mo | ≥ 65 | 911/952 | High risk of bias |
| Grabenstein et al., | United States | RCT | Community pharmacy | Letters explaining the risk of influenza, and availability of vaccine | Influenza | Advocator | Immunization rate | 6 mo | ≥ 65 | 299/299 | High risk of bias |
| Kirwin et al., | United States | RCT | Hospital-based primary care | Personalized letter from pharmacists to physicians containing treatment recommendation for patients | Pneumococcal | Advocator | Immunization rate | 1 mo | ≥ 65 | 171/175 | High risk of bias |
| Marrero et al., | Puerto Rico | RCT | Community pharmacy | Educational session about influenza and vaccination clinic in a pharmacy | Influenza | Educator | Immunization rate | 12 mo | ≥ 65 | 40/42 | High risk of bias |
| Hasting et al., | United States | RCT | Community pharmacy | Immunization training for pharmacists with educational intervention and tailored feedback | Pneumococcal, Herpes zoster | Immunizer/Advocator | Confidence, Perceived external support, Perceived influence | 6 mo | ≥18 | 37/30 | High risk of bias |
| Krueger et al., | United States | RCT | Community pharmacy | Message to customers about information on pneumonia prevention, pneumococcal vaccine costs, vaccine safety, community and family duty. | Pneumococcal | Advocator | Patients’ attitude toward vaccine | NR | ≥18 | 2211/397 | Some concerns |
| Heaton et al., | United States | RCT | Community pharmacy | Pharmacists are provided access to ImmsLink portal to review patient’s immunization history and recommendation. | Influenza, Pneumococcal, Herpes zoster, Tdap | Advocator | No. vaccinations | 3 mo | ≥18 | 16,750/17,062 | Some concerns |
| Abdel-Qader et al., | Jordan | RCT | NA | Pharmacist-physicians coaching intervention about COVID-19 vaccines via Facebook lives | COVID-19 | Advocator | Vaccine hesitancy/reistance | 2 mo | ≥18 | 154/151 | Some concerns |
Abbreviations used: RCT, randomized controlled trial; INA, immunization needs assessment; MMR, measles, mumps and rubella; HPV, human papillomavirus vaccine; NR, not reported; NA, not applicable; COVID-19, coronavirus disease 2019.
Characteristics of included observational studies
| Category | No. studies (N = 79), n (%) |
|---|---|
| Country | |
| United States | 64 (81.0) |
| Canada | 6 (7.6) |
| Australia | 3 (3.8) |
| United Kingdom | 2 (2.5) |
| Turkey | 2 (2.5) |
| Germany | 1 (1.3) |
| Jordan | 1 (1.3) |
| Study design | |
| Before-after study | 31 (39.2) |
| Retrospective cohort study | 18 (22.8) |
| Controlled before-after study | 17 (21.5) |
| Nonrandomized trial | 12 (15.2) |
| Cross-sectional survey | 1 (1.3) |
| Pharmacist role | |
| Immunizer | 15 (19.0) |
| Facilitator | 2 (2.5) |
| Advocator | 35 (44.3) |
| Immunizer/advocator | 23 (29.1) |
| Facilitator/advocator | 2 (2.5) |
| Immunizer/facilitator/advocator | 2 (2.5) |
| Study setting | |
| Community pharmacy | 25 (31.6) |
| Hospital | 16 (20.3) |
| Medical center | 10 (12.7) |
| Clinic setting | 17 (21.5) |
| Other | 7 (8.9) |
| Unspecified | 4 (5.1) |
| Intervention | |
| Patient education and motivation (pharmacist counseling, letter, phone call) | 32 (40.5) |
| Immunization eligibility/need assessment | 26 (32.9) |
| Pharmacists authorized to administer vaccine | 12 (15.2) |
| Pharmacist training | 9 (11.4) |
| Pharmacist immunization service | 8 (10.1) |
| Others | 2 (2.5) |
| Type of vaccine | |
| Influenza | 40 (50.6) |
| Pneumococcal | 42 (53.2) |
| Herpes zoster | 12 (15.2) |
| Tdap | 10 (12.7) |
| Other | 12 (15.2) |
| Unspecified | 1 (1.3) |
| Outcome | |
| Immunization rate | 64 (81.0) |
| Knowledge/awareness/perception | 8 (10.1) |
| Vaccine errors/appropriateness/failure | 4 (5.1) |
| Satisfaction/barrier | 8 (10.1) |
| Completion of dose/structure | 2 (2.5) |
| Cost | 3 (3.8) |
Some studies incorporated several interventions (for example: medication review was performed together with patient education).
Some studies assessed more than 1 vaccine.
Some studies reported more than 1 outcome.
Figure 2Impact of pharmacist involvement in immunization rate of all types of vaccine by role. Abbreviation used: DL, DerSimonian and Laird method.
Summary of meta-analyses by pharmacist role
| Role of pharmacist | Primary analysis | Sensitivity analyses | ||||||
|---|---|---|---|---|---|---|---|---|
| #1—excluding high ROB trial | #2—excluding trial with both role | #3—adherence to treatment | ||||||
| # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | |
| All vaccines | ||||||||
| Immunizer | 2 | (1.14 [1.12–1.15]; 0%) | 2 | (1.14 [1.12–1.15]; 0%) | 1 | NA | NA | NA |
| Advocator | 10 | (1.31 [1.17–1.48]; 89.6%) | 5 | (1.47 [1.19– 1.81]; 93.3%) | 9 | (1.52 [1.25–1.85]; 90.5%) | 6 | (1.28 [1.05–1.56]; 79.1%) |
| Influenza vaccines | ||||||||
| Immunizer | 2 | (1.14 [1.12–1.15]; 0%) | 2 | (1.14 [1.12–1.15]; 0%) | 1 | NA | NA | NA |
| Advocator | 8 | (1.19 [1.07–1.32]; 83.0%) | 4 | (1.13 [1.0–1.28]; 76.5%) | 7 | (1.31 [1.08–1.59]; 84.2%) | 5 | (1.37 [1.01–1.85]; 89.3%) |
Abbreviations used: RR, risk ratio; ROB, risk of bias.
Meta-analysis was not performed owing to limited number of studies.
No available data for adherence-to-treat principle.
Figure 3Impact of pharmacist involvement in immunization rate of all types of vaccine by study setting. Abbreviation used: DL, DerSimonian and Laird method.
Summary of meta-analyses by study setting
| Study setting | Primary analysis, # studies | Sensitivity analyses | ||||||
|---|---|---|---|---|---|---|---|---|
| #1—excluding high ROB trial | #2—excluding trial with both role | #3—adherence to treatment | ||||||
| # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | # studies | (RR [95% CI]; | |
| All vaccines | ||||||||
| Community pharmacy | 6 | (1.17 [1.06–1.28]; 86.3%) | 2 | (1.09 [0.99–1.2]; 89.1%) | 5 | (1.24 [1.03–1.50]; 88.9%) | 3 | (1.19 [0.95–1.48]; 77.8%) |
| Hospital | 4 | (2.82 [1.13–7.03]; 92.6%) | 3 | (3.74 [2.67–5.22]; 0%) | 4 | (2.82 [1.13–7.03]; 92.6%) | 3 | (2.59 [0.81–8.21]; 86.5%) |
| Primary health care center | 1 | NA | 1 | NA | 1 | NA | NA | NA |
| Influenza vaccines | ||||||||
| Community pharmacy | 6 | (1.17 [1.06–1.28]; 84.5%) | 2 | (1.11 [1.03–1.19]–73.8%) | 5 | (1.23 [1.02–1.47]; 86.5%) | 3 | (1.16 [0.88–1.53]; 92%) |
| Hospital | 2 | (4.78 [0.93–24.58]; 40.1%) | 2 | (4.78 [0.93–24.58]; 40.1%) | 2 | (4.78 [0.93–24.58]; 40.1%) | 2 | (5.16 [1.38–19.20]; 26.2%) |
| Primary health care center | 1 | NA | 1 | NA | 1 | NA | NA | NA |
Abbreviations used: NA, not applicable; RR, risk ratio; ROB, risk of bias.
Meta-analysis was not performed owing to limited number of studies.
No available data for adherence-to-treat principle.
GRADE for primary and subgroup analyses
| Outcome | Pharmacist role | Illustrative comparative risks | RR (95% CI) | No participants, (No studies) | Quality of the evidence (GRADE) | |
|---|---|---|---|---|---|---|
| Assumed risk | Corresponding risk | |||||
| Usual care | Pharmacist intervention | |||||
| Primary analysis by pharmacist role at any setting for all vaccines | ||||||
| Immunization rate of all vaccines | Immunizer | 34 per 1000 | 39 per 1000 | RR 1.14 (1.12–1.15) | 135,350 (2 studies) | ⨁⨁⨁◯ |
| Advocator | 69 per 1000 | 90 per 1000 | RR 1.31 (1.17–1.48) | 175,550 (10 studies) | ⨁⨁◯◯ | |
| Subgroup analysis by pharmacist role at community pharmacy | ||||||
| Immunization rate of all vaccines | Immunizer | NA | NA | NA | NA | NA |
| Advocator | 43 per 1000 | 50 per 1000 | RR 1.17 (1.06–1.28) | 172,453 (6 studies) | ⨁⨁⨁◯ | |
| Immunization rate of influenza vaccines | Immunizer | NA | NA | NA | NA | NA |
| Advocator | 49 per 1000 | 56 per 1000 | RR 1.17 (1.06–1.28) | 150,946 (6 studies) | ⨁⨁⨁◯ | |
| Subgroup analysis by pharmacist role at hospital | ||||||
| Immunization rate of all vaccines | Immunizer | NA | NA | NA | NA | NA |
| Advocator | 7 per 1000 | 26 per 1000 | RR 2.82 (1.13–7.03) | 3097 (4 studies) | ⨁⨁⨁◯ | |
| Immunization rate of influenza vaccines | Immunizer | NA | NA | NA | NA | NA |
| Advocator | 7 per 1000 | 33 per 1000 | RR 4.78 (0.93–24.58) | 162 (2 studies) | ⨁⨁◯◯ | |
Abbreviations used: GRADE, Grading of Recommendation Assessment, Development and Evaluation; RR, risk ratio; NA, not applicable.
The basis for the assumed risk (eg. the median or mean of control group risk across studies). The corresponding risk is based on the assumed risk in the comparison group and the relative effect of the intervention.
Moderate-quality evidence is caused by indirectness (different study setting – community pharmacy and primary health care).
Low-quality evidence is caused by inconsistency (high heterogeneity) and publication bias.
Meta-analysis was not performed owing to limited number of studies.
Moderate-quality evidence is caused by inconsistency (high heterogeneity).
Low-quality evidence is caused by imprecision (very small sample size).
| No | Search term | Ovid Medline | Embase |
|---|---|---|---|
| 1 | exp Pharmacist/ | 17448 | 83013 |
| 2 | Pharmacist$.tw. | 34668 | 77231 |
| 3 | exp Pharmacy/ | 8483 | 20311 |
| 4 | Pharmacy.tw. | 42434 | 87045 |
| 5 | exp Pharmacies/ | 8125 | 20311 |
| 6 | Pharmacies.tw. | 11672 | 21010 |
| 7 | exp Pharmaceutical Services/ | 71991 | 20311 |
| 8 | (Pharmaceutical service).ti,ab. | 186 | 387 |
| 9 | exp care, pharmaceutical/ | 71991 | 20148 |
| 10 | (Pharmaceutical cares).ti,ab | 4 | 18 |
| 11 | exp Community Pharmacy Services/ | 4801 | 20311 |
| 12 | exp pharmacy service/ | 71991 | 26341 |
| 13 | exp Pharmacy Services, Hospital/ | 11811 | |
| 14 | (Pharmac$ adj2 care$).ti,ab. | 5935 | 12450 |
| 15 | exp Immunization/ | 179753 | 332651 |
| 16 | exp Vaccination/ | 87558 | 196139 |
| 17 | exp Vaccines/ | 234480 | 382516 |
| 18 | immunis$.tw. | 12429 | 16608 |
| 19 | immuniz$.tw. | 134352 | 173562 |
| 20 | vaccin$.tw. | 325136 | 409780 |
| 21 | exp Mass vaccination/ | 3123 | 4273 |
| 22 | exp immunotherapy, active/ | 89041 | 270 |
| 23 | exp immunization, secondary/ | 8225 | 174 |
| 24 | exp immunization schedule/ | 10945 | 332651 |
| 25 | or/1-14 | 128414 | 213909 |
| 26 | or/15-24 | 503354 | 671021 |
| 27 | 25 AND 26 | 2630 | 4410 |
| 28 | Limit 27 to humans | 2192 | |
| 29 | Limit 28 to (dt=19460101-20210131) |
| No. | Search term | CENTRAL |
|---|---|---|
| 1 | Mh Pharmacist | 20 |
| 2 | Pharmacist:ti,ab,kw | 3793 |
| 3 | Mh Pharmacy | 165 |
| 4 | Pharmacy:ti,ab,kw | 4875 |
| 5 | Mh Pharmacies | 3 |
| 6 | Pharmacies:ti,ab,kw | 1070 |
| 7 | Mh “Pharmaceutical Services” | 1 |
| 8 | “Pharmaceutical service”:ti,ab,kw | 9 |
| 9 | Mh “pharmaceutical care” | 3 |
| 10 | “pharmaceutical care”:ti,ab,kw | 745 |
| 11 | Mh “Community Pharmacy Services” | 2 |
| 12 | “Community pharmacies”:ti,ab,kw | 494 |
| 13 | Mh “pharmacy service” | 3 |
| 14 | Mh “Pharmacy Services,/Hospital” | 0 |
| 15 | “Pharmacy service”:ti,ab,kw | 214 |
| 16 | Mh Immunization | 85 |
| 17 | “Immunization schedule”:ti,ab,kw | 1351 |
| 18 | “Immunization, Secondary”:ti,ab,kw | 917 |
| 19 | “Immunotherapy, Active”:ti,ab,kw | 103 |
| 20 | Mh Vaccination | 171 |
| 21 | Mh Vaccines | 156 |
| 22 | “Mass vaccination”:ti,ab,kw | 118 |
| 23 | Mh immunis∗ | 4 |
| 24 | immuniz∗:ti,ab,kw | 8276 |
| 25 | vaccin∗:ti,ab,kw | 25711 |
| 26 | Mh vaccin∗ | 171 |
| 27 | or/1-15 | 8047 |
| 28 | or/16-26 | 27274 |
| 29 | 27 AND 28 |
Summary of meta-analyses of observational studies by pharmacist role
| Role of pharmacist | Primary analysis | Sensitivity analyses | ||||
|---|---|---|---|---|---|---|
| #1- excluding critical ROB studies | #2 - excluding studies with both role | |||||
| # studies | (RR [95%CI]; I2) | # studies | (RR [95%CI]; I2) | # studies | (RR [95%CI]; I2) | |
| All vaccines | ||||||
| Immunizer | 9 | (2.17 [1.71, 2.75]; 97.7%) | 6 | (2.19 [1.47, 3.26]; 98%) | 3 | (2.74 [1.77,4.23]; 97%) |
| Advocator | 17 | (2.01 [1.66, 2.44]; 99%) | 12 | (1.86 [1.50, 2.31]; 96.8%) | 11 | (2.15 [1.65, 2.81]; 97.1%) |
| Both | 6 | (1.78 [1.47,2.15]; 92.4%) | 3 | (1.73 [1.02,2.93]; 93.7%) | - | - |
| Influenza vaccines | ||||||
| Immunizer | 3 | (2.15 [1.16, 4.02]; 98.2%) | 2 | (2.76 [1.39, 5.49]; 98.5%) | 2 | (2.76 [1.39,5.49]; 98.5%) |
| Advocator | 6 | (2.02 [1.37, 2.98]; 92.1%) | 3 | (1.97 [1.03, 3.75]; 91.5%) | 5 | (2.37 [1.45, 3.82]; 93.2%) |
| Both | 1 | NA | 0 | NA | - | - |
Note: ROB, risk of bias; NA, insufficient data
Summary of meta-analyses of observational studies by study setting
| Study setting | Primary analysis | Sensitivity analyses | ||||
|---|---|---|---|---|---|---|
| #1- excluding critical ROB studies | #2 - excluding studies with both role | |||||
| # studies | (RR [95%CI]; I2) | # studies | (RR [95%CI]; I2) | # studies | (RR [95%CI]; I2) | |
| All vaccines | ||||||
| Community pharmacy | 6 | (2.97 [1.92, 4.58]; 98.4%) | 4 | (2.91 [2.18, 3.88]; 88.6%) | 3 | (2.79 [1.93, 4.03]; 92.4%) |
| Hospital/Medical center | 9 | (2.04 [1.53, 2.72]; 97.7%) | 7 | (1.75 [1.31, 2.35]; 97.6%) | 8 | (2.37 [1.67, 3.36]; 97.6%) |
| Clinic | 4 | (1.67 [1.21, 2.31]; 89.2%) | 4 | (1.67 [1.21, 2.31]; 89.2%) | 3 | (1.89 [1.33, 2.68]; 89.9%) |
| Other | 1 | NA | 1 | NA | 0 | NA |
| Influenza vaccines | ||||||
| Community pharmacy | 2 | (3.32 [2.11, 5.22]];65.5% | 2 | (3.32 [2.11, 5.22]];65.5% | 2 | (3.32 [2.11, 5.22]];65.5% |
| Hospital/Medical center | 3 | (3.84 [1.66, 8.88]; 91.3%) | 1 | NA | 3 | (3.84 [1.66, 8.88]; 91.3%) |
| Clinic | 2 | (1.53 [0.95, 2.46]; 95.6%) | 2 | (1.53 [0.95, 2.46]; 95.6%) | 2 | (1.53 [0.95, 2.46]; 95.6%) |
| Other | 1 | NA | 1 | NA | 0 | NA |
Note: ROB, risk of bias; NA, insufficient data
Grading of Recommendation Assessment, Development and Evaluation (GRADE) for analyses of observational studies
| Outcome | Pharmacist role | Illustrative comparative risks | Relative risk | Number of participants | Quality of the evidence (GRADE) | |
|---|---|---|---|---|---|---|
| Assumed risk | Corresponding risk | |||||
| Immunization rate of all vaccines | Immunizer | 16 per 1000 | 34 per 1000 | 2.17 | 2,676,385 | ⨁⨁◯◯ |
| Advocator | 15 per 1000 | 30 per 1000 | 2.01 | 2,643,474 | ⨁⨁◯◯ | |
| Immunization rate of influenza vaccines | Immunizer | 104 per 1000 | 223 per 1000 | 2.15 | 5,561 | ⨁⨁◯◯ |
| Advocator | 22 per 1000 | 44 per 1000 | 2.02 | 11,331 | ⨁◯◯◯ | |
Note: CI, confidence interval; RR, risk ratio.
The basis for the assumed risk (eg. the median or mean of control group risk across studies). The corresponding risk is based on the assumed risk in the comparison group and the relative effect of the intervention.
Low quality evidence is due to inconsistency (high heterogeneity) and large effect size.
Very low quality evidence is due to inconsistency (high heterogeneity & risk of bias).
Meta regression of all RCTs of pharmacist involvement on immunization rate of all vaccines compared to usual care/non-pharmacist-involved intervention
| Analysis | No. of RCTs | No. of comparisons | RR | 95%CI | I-squared | |
|---|---|---|---|---|---|---|
| Immunizer | 2 | 2 | 1.14 | 1.12, 1.15 | 0% | |
| Advocator | 10 | 10 | 1.31 | 1.17,1.48 | 89.6% | |
| Variable (univariate) | No. of studies | No. of comparisons | RR | Standard error | I-squared | |
| Pharmacist role | 11 | 12 | 1.37 | 1.59 | 0.513 | 88.4% |
| Intervention | 11 | 12 | 0.89 | 1.42 | 0.751 | 88.3% |
| Comparison | 11 | 12 | 0.95 | 1.66 | 0.930 | 88.2% |
| Study setting | 11 | 12 | 1.40 | 1.32 | 0.257 | 87.1% |
| No of vaccine investigated in study | 11 | 12 | 1.09 | 1.54 | 0.835 | 88.2% |
| Country | 11 | 12 | 1.07 | 1.42 | 0.847 | 87.9% |
| Risk of bias | 11 | 12 | 0.85 | 1.41 | 0.636 | 86.6% |
| Vaccine type | 11 | 12 | 0.73 | 1.53 | 0.480 | 87.7% |
Note:
Pharmacist role as immunizer or advocator;
Intervention: pharmacist direct vs indirect involvement with patients;
Comparison: Usual care or other control without pharmacist;
Study setting: community pharmacy or hospital;
Number of vaccines investigated by the study;
Country: USA or non-USA;
Risk of bias assessed as Moderate, Some concerns or High;
Vaccine type: Influenza or Non-influenza vaccine.
Meta regression of all observational studies of pharmacist involvement on immunization rate of all vaccines compared to usual care/non-pharmacist-involved intervention
| Analysis | No. of studies | No. of comparisons | RR | 95%CI | I-squared | |
|---|---|---|---|---|---|---|
| Immunizer | 9 | 9 | 2.17 | 1.71, 2.75 | 97.7% | |
| Advocator | 17 | 17 | 2.01 | 1.66,2.44 | 99.0% | |
| Both | 6 | 6 | 1.78 | 1.47,2.15 | 92.4% | |
| Pharmacist role | 20 | 26 | 1.34 | 1.62 | 0.551 | 98.7% |
| Intervention | 20 | 26 | 1.93 | 1.73 | 0.243 | 97.7% |
| Comparison | 20 | 26 | 1.56 | 1.41 | 0.209 | 98.7% |
| Study setting | 20 | 26 | 0.72 | 1.23 | 0.133 | 97.7% |
| No of vaccine investigated in study | 20 | 26 | 0.73 | 1.85 | 0.614 | 98.9% |
| Country | 20 | 26 | 0.96 | 2.19 | 0.957 | 98.9% |
| Risk of bias | 20 | 26 | 1.23 | 1.35 | 0.496 | 98.2% |
| Vaccine type | 20 | 26 | 0.83 | 1.62 | 0.698 | 98.8% |
Note:
Pharmacist role as immunizer or advocator or both;
Intervention: pharmacist direct vs indirect involvement with patients;
Comparison: Usual care or other control without pharmacist;
Study setting: community pharmacy or hospital/medical center or clinic or other;
Number of vaccines investigated by the study;
Country: USA or non-USA;
Risk of bias assessed as Moderate, Serious or Critical;
Vaccine type: Influenza or Non-influenza vaccine.