| Literature DB >> 34063185 |
Abstract
In the past two decades, most states in the United States have added authorization for pharmacists to administer some vaccinations. Expansions of this authority have also come with prescription requirements or other regulatory burdens. The objective of this study was to evaluate the impact of these expansions on influenza immunization rates in adults age 65 and over. A panel data, differences-in-differences regression framework to control for state-level unobserved confounders and shocks at the national level was used on a combination of a dataset of state-level statute and regulatory changes and influenza immunization data from the Behavioral Risk Factor Surveillance System. Giving pharmacists permission to vaccinate had a positive impact on adult influenza immunization rates of 1.4 percentage points for adults age 65 and over. This effect was diminished by the presence of laws requiring pharmacists to obtain patient-specific prescriptions. There was no evidence that allowing pharmacists to administer vaccinations led patients to have fewer annual check-ups with physicians or not have a usual source of health care. Expanding pharmacists' scope of practice laws to include administering the influenza vaccine had a positive impact on influenza shot uptake. This may have implications for relaxing restrictions on other forms of care that could be provided by pharmacists.Entities:
Keywords: immunization; influenza; occupational licensing; regulation; scope of practice law
Year: 2021 PMID: 34063185 PMCID: PMC8147434 DOI: 10.3390/vaccines9050444
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Expansions and limitations on pharmacists’ vaccination authority, 1971–2014. Note: Figure shows count of states in each year that give pharmacists the indicated vaccination authority or impose the indicated requirements for pharmacists to administer vaccines. Data from WestLaw Classic and WestLawNext legal databases.
Elapsed time between explicit authorization and other regulations on pharmacists’ immunization practice.
| Category of Legal Regulation | 0 | 1 | 2 | 3+ |
|---|---|---|---|---|
| Prescription Under Standing Orders | 39 | 3 | 2 | 1 |
| Patient-Specific Prescription | 5 | 1 | 0 | 0 |
| Prescription by Pharmacist | 5 | 1 | 0 | 4 |
| Facility Requirements | 7 | 3 | 1 | 3 |
| Malpractice Insurance | 3 | 0 | 0 | 1 |
| Training Requirements | 35 | 5 | 1 | 3 |
| Record Keeping Requirements | 25 | 7 | 2 | 4 |
Notes: Table shows the number of states that have passed a particular regulation on pharmacists’ practice of immunization relative to the time since pharmacists were given explicit permission to vaccinate. Columns indicate elapsed time in years and cells indicate counts of states.
Summary statistics from BRFSS data for adults age 65+.
| All Years | Before Authorization | After Authorization | ||||
|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | Mean | SD | |
| Had Flu Vaccination | 63.7 | (48.1) | 62.2 | (40.2) | 64.8 | (52.6) |
| Age | 73.9 | (6.5) | 73.6 | (5.2) | 74.1 | (7.5) |
| White | 87.3 | (33.3) | 88.3 | (26.1) | 86.5 | (38.8) |
| Black | 8.3 | (27.5) | 8.6 | (22.9) | 8.0 | (30.7) |
| Hispanic | 5.8 | (23.3) | 4.0 | (15.9) | 7.2 | (29.4) |
| No Insurance | 2.2 | (14.7) | 2.3 | (12.2) | 2.1 | (16.4) |
| Unemployed | 90.5 | (29.3) | 91.1 | (23.2) | 90.0 | (33.9) |
| Married | 56.6 | (49.6) | 56.9 | (40.3) | 56.4 | (56.1) |
| Widowed | 29.2 | (45.5) | 30.8 | (37.6) | 27.9 | (50.8) |
| Did Not Finish High School | 19.6 | (39.7) | 23.2 | (34.4) | 16.6 | (42.1) |
| High School Degree | 33.6 | (47.2) | 34.2 | (38.6) | 33.1 | (53.3) |
| Some College | 23.1 | (42.2) | 21.3 | (33.4) | 24.6 | (48.8) |
| College Gradate+ | 22.9 | (42.0) | 20.5 | (32.9) | 24.9 | (49.0) |
| Check-Ups | 86.2 | (34.5) | 85.7 | (27.3) | 86.6 | (39.0) |
| Personal Doctor | 93.9 | (23.9) | 93.4 | (21.6) | 94.2 | (24.8) |
| In-Store | Any Vaccination | 14.8 | (35.5) | 08.5 | (24.5) | 17.8 | (40.3) |
Note: Table shows means and standard deviations for BRFSS respondents from 1993 to 2014. Statistics are shown for all years (columns 1 and 2), observations from before each respondent’s state of residence passed explicit authorization for pharmacists to administer vaccinations (columns 3 and 4), and after such authorization (columns 5 and 6). Age is measured in years and all other variables are in percentages. “In-Store” is the percentage that received the flu shot in a store conditional on having the flu shot. Abbreviations: SD = standard deviation.
Impact of explicit vaccination authority for pharmacists on influenza vaccine uptake rate for adults age 65+, 1993–2014.
| Model Includes State FE, Year FE | Model Includes State FE, Year FE, Individual Controls | Model Includes State FE, Year FE, Individual Controls, State Linear Time Trends | Model Includes State FE, Year FE, Individual Controls, State Linear Time Trends, State Quadratic Time Trends | |
|---|---|---|---|---|
| Authorization | 0.013 *** | 0.014 *** | 0.013 *** | 0.013 *** |
| (0.003) | (0.003) | (0.004) | (0.004) | |
| Observations | 1,654,657 | 1,258,825 | 1,258,825 | 1,258,825 |
Notes: Coefficients indicate the effect of state laws providing explicit authority for pharmacists to administer vaccinations on influenza vaccine uptake rate. Regressions are at the individual level, weighted by appropriate survey weight from BRFSS data and clustered at the state level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable. Standard errors shown in parenthesis. *** p < 0.01. Abbreviations: FE = fixed effects.
Figure 2Event study for impact of pharmacists’ explicit authorization to vaccinate on influenza vaccination coverage rates for adults age 65+. Note: The figure shows coefficients (connected by solid lines) and 95% confidence intervals (connected by dashed lines) for a regression of influenza vaccination coverage rates on time relative to implementing explicit permission for pharmacists to administer vaccinations. The omitted category is one year prior to vaccination. The regression includes only states that have at least 4 years of vaccination data before and after granting explicit authority to administer vaccines for pharmacists. Regressions are at the individual level, weighted by appropriate survey weight from BRFSS data and clustered at the state level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable.
Impact of explicit vaccination authority for pharmacists on likelihood of receiving influenza in a store, receiving a check-up or having a personal doctor.
| Vaccination in Store | Check-Up | Personal Doctor | |
|---|---|---|---|
| Impact | 0.014 *** | −0.001 | 0.001 |
| Standard Error | (0.005) | (0.003) | (0.002) |
| Mean | 0.08 | 0.86 | 0.94 |
| % Impact | 17 | <1% | <1% |
| Obs | 206,720 | 1,177,983 | 1,220,403 |
Notes: Coefficients indicate the effect of state laws providing explicit authority for pharmacists to administer vaccinations on likelihood of receiving the influenza vaccine in a store (e.g., supermarket or drug store) (column 1), having a check-up in the last 12 months (column 2), or having a personal doctor (column 3). For column 1, the sample is restricted to respondents that answered yes to receiving the influenza vaccine and includes each year that the BRFSS asked this question, 1999, 2002, 2003, 2004, 2005, 2011, 2012, 2013, and 2014, for any states that asked the question in that year. Regressions are at the individual level, weighted by appropriate survey weight from BRFSS data and clustered at the state level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable. Standard errors shown in parenthesis. *** p < 0.01. Abbreviations: FE = fixed effects.
Multinomial logit model of the impact of explicit vaccination authority for pharmacists on likelihood of receiving influenza vaccine by location.
| Independent Category | Impact |
|---|---|
| (1) | |
| No Vaccination (reference case) | |
| Vaccination in Other Locations | 0.157 *** |
| (0.031) | |
| Vaccination in a Store | 0.320 *** |
| (0.065) | |
| Obs | 354,201 |
Notes: Coefficients are from a multinomial logit model showing the association between states granting pharmacists explicit permission to vaccination and the outcome, where the outcome categories are whether an individual received no influenza vaccination (reference case), a vaccination in a location other than a store, or a vaccination in a store. Each year that the BRFSS asked this question was included: 1999, 2002, 2003, 2004, 2005, 2011, 2012, 2013, and 2014. States are only included if they elected to ask this question in the BRFSS survey. Regressions are at the individual level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable. Standard errors shown in parenthesis. *** p < 0.01.
Impacts of types of prescriptive authority and other regulations for pharmacists on influenza vaccine uptake rate, 1993–2014.
| Coeff (SE) | |
|---|---|
| Authorization | 0.019 *** |
| (0.005) | |
| Standing Orders | −0.005 |
| (0.005) | |
| Patient-Specific Requirement | −0.017 ** |
| (0.007) | |
| Recording Keeping Requirement | 0.009 |
| (0.006) | |
| Training Requirement | 0.01 |
| (0.007) | |
| Facility Specifications | 0.007 |
| (0.005) | |
| Malpractice Insurance Requirement | 0.001 |
| (0.006) | |
| Obs | 1,258,825 |
Notes: Coefficients indicate the effect of state laws providing explicit authorization for pharmacists to administer vaccines combined with the type of prescriptive authority accompanying that permission: under the pharmacist’s own authority (omitted), under standing orders, and with patient-specific prescriptions on influenza vaccine uptake rate. Regressions are at the individual level, weighted by appropriate survey weight from BRFSS data and clustered at the state level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable. Standard errors (SE) shown in parenthesis. *** p < 0.01, ** p < 0.05.
Impact of explicit vaccination authority for pharmacists on influenza vaccine uptake rate, 1993–2010.
| Age 65+ | |
|---|---|
| (3) | |
| Impact | 0.013 *** |
| Standard Error | (0.004) |
| Observations | 790,992 |
| State FE, Year FE | yes |
| Individual Controls | yes |
Notes: Table excludes data from the BRFSS cell phone sampling frame which began in 2011. Coefficients indicate the effect of state laws providing explicit authority for pharmacists to administer vaccinations on influenza vaccine uptake rate. Regressions are at the individual level, weighted by appropriate survey weight from BRFSS data and clustered at the state level. Individual controls include dummies for income in bins, marital status, educational attainment, white, black, Hispanic, insurance status, and unemployment status as well as age as a continuous variable. Standard errors shown in parenthesis. *** p < 0.01.