Literature DB >> 34914669

Report of Health Care Provider Recommendation for COVID-19 Vaccination Among Adults, by Recipient COVID-19 Vaccination Status and Attitudes - United States, April-September 2021.

Kimberly H Nguyen, David Yankey, Peng-Jun Lu, Jennifer L Kriss, Noel T Brewer, Hilda Razzaghi, Mehreen Meghani, Brian J Manns, James T Lee, James A Singleton.   

Abstract

Vaccination is critical to controlling the COVID-19 pandemic, and health care providers play an important role in achieving high vaccination coverage (1). To examine the prevalence of report of a provider recommendation for COVID-19 vaccination and its association with COVID-19 vaccination coverage and attitudes, CDC analyzed data among adults aged ≥18 years from the National Immunization Survey-Adult COVID Module (NIS-ACM), a nationally representative cellular telephone survey. Prevalence of report of a provider recommendation for COVID-19 vaccination among adults increased from 34.6%, during April 22-May 29, to 40.5%, during August 29-September 25, 2021. Adults who reported a provider recommendation for COVID-19 vaccination were more likely to have received ≥1 dose of a COVID-19 vaccine (77.6%) than were those who did not receive a recommendation (61.9%) (adjusted prevalence ratio [aPR] = 1.12). Report of a provider recommendation was associated with concern about COVID-19 (aPR = 1.31), belief that COVID-19 vaccines are important to protect oneself (aPR = 1.15), belief that COVID-19 vaccination was very or completely safe (aPR = 1.17), and perception that many or all of their family and friends had received COVID-19 vaccination (aPR = 1.19). Empowering health care providers to recommend vaccination to their patients could help reinforce confidence in, and increase coverage with, COVID-19 vaccines, particularly among groups known to have lower COVID-19 vaccination coverage, including younger adults, racial/ethnic minorities, and rural residents.

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Year:  2021        PMID: 34914669      PMCID: PMC8675662          DOI: 10.15585/mmwr.mm7050a1

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


Vaccination is critical to controlling the COVID-19 pandemic, and health care providers play an important role in achieving high vaccination coverage (). To examine the prevalence of report of a provider recommendation for COVID-19 vaccination and its association with COVID-19 vaccination coverage and attitudes, CDC analyzed data among adults aged ≥18 years from the National Immunization Survey-Adult COVID Module (NIS-ACM), a nationally representative cellular telephone survey. Prevalence of report of a provider recommendation for COVID-19 vaccination among adults increased from 34.6%, during April 22–May 29, to 40.5%, during August 29–September 25, 2021. Adults who reported a provider recommendation for COVID-19 vaccination were more likely to have received ≥1 dose of a COVID-19 vaccine (77.6%) than were those who did not receive a recommendation (61.9%) (adjusted prevalence ratio [aPR] = 1.12). Report of a provider recommendation was associated with concern about COVID-19 (aPR = 1.31), belief that COVID-19 vaccines are important to protect oneself (aPR = 1.15), belief that COVID-19 vaccination was very or completely safe (aPR = 1.17), and perception that many or all of their family and friends had received COVID-19 vaccination (aPR = 1.19). Empowering health care providers to recommend vaccination to their patients could help reinforce confidence in, and increase coverage with, COVID-19 vaccines, particularly among groups known to have lower COVID-19 vaccination coverage, including younger adults, racial/ethnic minorities, and rural residents. NIS-ACM is a nationally representative household telephone survey of noninstitutionalized U.S. adults aged ≥18 years that uses a random-digit–dialed sample of cellular telephone numbers stratified by state and selected local jurisdictions (). Data from five data collection periods were used for these analyses: April 22–May 29, May 30–June 26, June 27–July 31, August 1–August 28, and August 29–September 25, 2021. Response rates for these five periods ranged from 17.2% to 20.9%*; sample sizes ranged from 56,749 to 77,162, with an overall sample size of 340,543 participants. The survey assessed report of health care provider recommendation for COVID-19 vaccination, COVID-19 vaccination status, and attitudes toward vaccination. Attitudes toward vaccination were assessed by responses to four questions regarding 1) concern about COVID-19 infection (risk appraisal), 2) belief about the importance of COVID-19 vaccination (confidence), 3) belief about the safety of COVID-19 vaccination (confidence), and 4) belief about how many family and friends had received COVID-19 vaccination (social norms). These questions are based on the Behavioral and Social Drivers framework for increasing vaccine confidence (). Prevalence of report of provider recommendation was assessed during April 22–September 25, 2021, and by period of data collection, sociodemographic characteristics,** U.S. Department of Health and Human Services (HHS) region, and jurisdiction. Logistic regression was used to generate unadjusted and adjusted prevalence ratios (PRs and aPRs) of the association between the four attitudinal measures and both provider recommendation for COVID-19 vaccination and COVID-19 vaccination status. Adjusted analyses controlled for age group, sex, transgender identity, sexual orientation, race/ethnicity, education, income, insurance status, metropolitan statistical area (MSA), U.S. Census region, comorbidity status,*** disability status, essential worker status, and work or school COVID-19 vaccination requirement. All variables assessed in this study were self-reported. The interaction between provider recommendation and each sociodemographic characteristic in predicting COVID-19 vaccination status was also assessed. The ecologic association between jurisdiction-level provider recommendation prevalence and jurisdiction-level vaccination coverage was also assessed using a Pearson correlation coefficient. Data were analyzed using SAS (version 9.4; SAS Institute) and SUDAAN (version 11.0.3; RTI International). Results were weighted to represent the noninstitutionalized U.S. adult population aged ≥18 years and calibrated to COVID-19 vaccine administration data**** (). For all analyses, statistical significance was defined as p<0.05. This activity was reviewed by the CDC and was conducted consistent with applicable federal law and CDC policy. Prevalence of report of a provider recommendation for COVID-19 vaccines among adults increased from 34.6% during April 22–May 29 to 40.5% during August 29–September 25, 2021 (Table 1). From April 22–May 29 to August 29–September 25, report of provider recommendation ranged from 34.3% in HHS Region 10 to 42.7% in HHS Region 2 (Supplementary Table 1, https://stacks.cdc.gov/view/cdc/112307). Report of a provider recommendation was more common among adults aged ≥65 years (44.2%) than among those aged 18–29 years (28.3%); those with more than a college degree (45.6%) than among those with a high school education or less (33.5%); adults with annual household income of ≥$75,000 (39.8%) compared with those below the U.S. poverty threshold (36.9%); adults with health insurance (39.1%) compared with those without insurance (24.7%); adults who are essential health care workers (51.8%) compared with those in other essential work settings (32.1%–38.8%); and adults with comorbidities (50.4%) compared with those without (32.1%) (Table 1).
TABLE 1

Characteristics of adults who reported a health care provider recommendation for COVID-19 vaccination, by selected sociodemographic characteristics and associated factors — National Immunization Survey-Adult COVID Module, United States, April 22–September 25, 2021

CharacteristicOverall
Provider recommendation
Prevalence
Prevalence ratio
No.% (95% CI)% (95% CI)Unadjusted(95% CI)Adjusted*(95% CI)
All adults
340,543
100.0
37.4 (37.1–37.7)


Period of data collection
Apr 22–May 29
77,162
20.0 (19.7–20.3)
34.6 (33.9–35.3)
Ref
Ref
May 30–Jun 26
56,749
20.0 (19.7–20.3)
35.8 (35.0–36.6)
1.03 (1.00–1.07)
1.03 (1.00–1.06)
Jun 27–Jul 31
73,512
20.0 (19.7–20.3)
37.6 (36.9–38.3)
1.09 (1.06–1.12)
1.08 (1.05–1.11)
Aug 1–Aug 28
63,193
20.0 (19.7–20.3)
38.6 (37.9–39.4)
1.12 (1.09–1.15)
1.10 (1.07–1.13)
Aug 29–Sep 25
73,426
20.0 (19.7–20.2)
40.5 (39.8–41.2)
1.17 (1.14–1.20)
1.14 (1.10–1.17)
Age group, yrs
18–29
58,464
21.0 (20.7–21.3)
28.3 (27.6–29.0)
0.64 (0.62–0.66)
0.72 (0.69–0.74)
30–39
56,584
17.3 (17.1–17.6)
34.9 (34.2–35.7)
0.79 (0.77–0.81)
0.83 (0.80–0.85)
40–49
52,694
16.0 (15.7–16.2)
37.9 (37.1–38.7)
0.86 (0.83–0.88)
0.86 (0.83–0.89)
50–64
95,399
24.5 (24.2–24.8)
41.0 (40.4–41.7)
0.93 (0.91–0.95)
0.92 (0.89–0.94)
≥65
75,147
21.2 (20.9–21.5)
44.2 (43.5–45.0)
Ref
Ref
Sex
Male
168,106
48.4 (48.1–48.8)
34.4 (34.0–34.9)
Ref
Ref
Female
173,190
51.6 (51.2–51.9)
40.3 (39.9–40.8)
1.17 (1.15–1.19)
1.07 (1.05–1.09)
Transgender
Yes
13,287
4.5 (4.4–4.7)
36.5 (34.9–38.1)
0.98 (0.93–1.02)
1.01 (0.96–1.05)
No
309,379
95.5 (95.3–95.6)
37.4 (37.0–37.7)
Ref
Ref
Sexual orientation
Heterosexual
298,486
92.6 (92.4–92.7)
37.5 (37.2–37.8)
Ref
Ref
Gay or lesbian
8,857
2.3 (2.2–2.4)
41.0 (39.0–43.1)
1.09 (1.04–1.15)
1.12 (1.06–1.17)
Bisexual
9,745
3.3 (3.1–3.4)
34.1 (32.3–35.9)
0.91 (0.86–0.96)
1.02 (0.96–1.07)
Other
5,654
1.9 (1.8–2.0)
36.3 (33.8–38.8)
0.97 (0.90–1.04)
1.06 (0.98–1.14)
Race/Ethnicity
White, non-Hispanic
210,659
62.1 (61.8–62.4)
37.3 (36.9–37.7)
Ref
Ref
Black, non-Hispanic
40,610
12.0 (11.8–12.2)
38.4 (37.5–39.4)
1.03 (1.00–1.06)
1.02 (0.99–1.05)
Hispanic
43,420
17.2 (16.9–17.5)
37.2 (36.3–38.1)
1.00 (0.97–1.02)
1.09 (1.06–1.12)
Asian, non-Hispanic
17,859
4.2 (4.1–4.3)
40.0 (38.5–41.6)
1.07 (1.03–1.12)
1.11 (1.06–1.16)
American Indian or Alaska Native, non-Hispanic
8,319
1.3 (1.3–1.4)
38.8 (36.2–41.5)
1.04 (0.97–1.12)
1.13 (1.05–1.21)
Other or multiple races, non-Hispanic
12,865
3.2 (3.0–3.3)
36.2 (34.4–38.1)
0.97 (0.92–1.02)
1.03 (0.98–1.09)
Educational level
High school or less
85,450
39.1 (38.7–39.4)
33.5 (33.0–34.1)
0.74 (0.72–0.75)
0.83 (0.80–0.85)
Some college
94,461
30.5 (30.2–30.9)
37.6 (37.0–38.2)
0.82 (0.80–0.84)
0.88 (0.86–0.90)
College graduate
85,631
19.2 (18.9–19.4)
40.7 (40.1–41.4)
0.89 (0.87–0.91)
0.96 (0.94–0.99)
Above college graduate
68,286
11.2 (11.1–11.4)
45.6 (44.8–46.4)
Ref
Ref
Annual household income, USD
Below poverty
32,552
11.3 (11.1–11.5)
36.9 (35.9–37.9)
0.93 (0.90–0.95)
1.00 (0.96–1.03)
Above poverty and <$75,000
106,976
32.1 (31.8–32.5)
36.1 (35.5–36.7)
0.91 (0.89–0.93)
0.95 (0.93–0.97)
Above poverty and ≥$75,000
129,250
32.7 (32.4–33.0)
39.8 (39.3–40.3)
Ref
Ref
Unknown income
75,264
23.9 (23.6–24.2)
36.1 (35.5–36.8)
0.91 (0.89–0.93)
0.95 (0.92–0.97)
Health insurance status
Insured
306,694
89.5 (89.3–89.7)
39.1 (38.7–39.4)
Ref
Ref
Not insured
27,335
10.5 (10.3–10.7)
24.7 (23.8–25.7)
0.63 (0.61–0.66)
0.75 (0.72–0.78)
Essential worker status §
Essential health care
36,028
9.1 (8.9–9.3)
51.8 (50.8–52.9)
1.40 (1.37–1.43)
1.38 (1.35–1.42)
School and child care
12,789
2.9 (2.8–3.0)
38.8 (37.1–40.5)
1.05 (1.00–1.09)
1.02 (0.97–1.07)
Other frontline
24,835
8.4 (8.2–8.6)
32.3 (31.2–33.4)
0.87 (0.84–0.90)
1.02 (0.98–1.06)
Other essential
39,597
12.5 (12.2–12.7)
32.1 (31.2–33.0)
0.87 (0.84–0.89)
1.00 (0.97–1.04)
Not an essential worker
228,472
67.2 (66.9–67.5)
37.1 (36.7–37.5)
Ref
Ref
MSA
MSA, principal city
106,173
29.1 (28.8–29.4)
38.6 (38.0–39.2)
Ref
Ref
MSA, nonprincipal city
172,259
57.2 (56.9–57.5)
37.4 (37.0–37.8)
0.97 (0.95–0.99)
0.96 (0.94–0.98)
Non-MSA
65,610
13.7 (13.5–13.9)
34.9 (34.1–35.7)
0.90 (0.88–0.93)
0.92 (0.89–0.95)
U.S. Census region
Northeast
70,694
17.4 (17.3–17.6)
42.1 (41.4–42.7)
Ref
Ref
Midwest
54,434
20.8 (20.5–21.0)
36.7 (35.9–37.4)
0.87 (0.85–0.89)
0.93 (0.90–0.95)
South
70,212
23.8 (23.5–24.0)
36.3 (35.6–37.1)
0.86 (0.84–0.89)
0.88 (0.86–0.91)
West
126,934
38.0 (37.8–38.3)
36.0 (35.5–36.5)
0.86 (0.84–0.87)
0.92 (0.90–0.94)
Comorbidities**
Yes
102,135
29.2 (28.9–29.5)
50.4 (49.8–51.1)
1.57 (1.54–1.60)
1.47 (1.44–1.50)
No
237,651
70.8 (70.5–71.1)
32.1 (31.7–32.5)
Ref
Ref
Disability status ††
Yes
30,864
9.7 (9.5–9.9)
44.9 (43.8–46.0)
1.23 (1.20–1.26)
1.11 (1.07–1.14)
No
312,280
90.3 (90.1–90.5)
36.6 (36.3–36.9)
Ref
Ref
Work or school requirement §§
Yes
43,949
10.8 (10.6–11.0)
49.8 (48.8–50.7)
1.39 (1.36–1.42)
1.32 (1.29–1.36)
No/Other297,45389.2 (89.0–89.4)35.9 (35.5–36.2)RefRef

Abbreviations: MSA = metropolitan statistical area; Ref = referent group; USD = U.S. dollars.

*Adjusted for age group, sex, transgender identity, sexual orientation, race/ethnicity, education, income, insurance status, MSA, U.S. Census region, comorbidity status, disability status, and essential worker status.

† Household income is derived from the number of persons reported in the household, the reported household income, and the 2020 U.S. Census poverty thresholds.

§ Essential worker status was defined based on the following questions: “Are you a frontline or essential worker according to your state or region?” and “In what location or setting do you currently work?” Essential worker groups were categorized as “essential healthcare,” “school and childcare,” “other frontline,” “other essential,” and “nonessential.” Nonessential could include both employed and unemployed individuals.

¶ MSA status was determined based on household reported city and county of residence and was grouped into three categories: MSA principal city (urban), MSA nonprincipal city (suburban), and non-MSA (rural). MSAs and principal cities were as defined by the U.S. Census Bureau (https://www.census.gov/programs-surveys/metro-micro.html). Non-MSA areas include urban populations not located within an MSA as well as completely rural areas.

** Comorbidity status was ascertained by the following question: “Do you have a health condition that may put you at higher risk for COVID-19?”

†† Disability status was ascertained by the following question: “Do you have serious difficulty seeing, hearing, walking, remembering, making decisions, or communicating?”

§§ Work or school requirement was assessed by the following question: “Does your work or school require you to get a COVID-19 vaccine?” Response options were yes, no, or unemployed/not applicable. Responses for “no” and “not applicable” were combined into one category.

Abbreviations: MSA = metropolitan statistical area; Ref = referent group; USD = U.S. dollars. *Adjusted for age group, sex, transgender identity, sexual orientation, race/ethnicity, education, income, insurance status, MSA, U.S. Census region, comorbidity status, disability status, and essential worker status. † Household income is derived from the number of persons reported in the household, the reported household income, and the 2020 U.S. Census poverty thresholds. § Essential worker status was defined based on the following questions: “Are you a frontline or essential worker according to your state or region?” and “In what location or setting do you currently work?” Essential worker groups were categorized as “essential healthcare,” “school and childcare,” “other frontline,” “other essential,” and “nonessential.” Nonessential could include both employed and unemployed individuals. ¶ MSA status was determined based on household reported city and county of residence and was grouped into three categories: MSA principal city (urban), MSA nonprincipal city (suburban), and non-MSA (rural). MSAs and principal cities were as defined by the U.S. Census Bureau (https://www.census.gov/programs-surveys/metro-micro.html). Non-MSA areas include urban populations not located within an MSA as well as completely rural areas. ** Comorbidity status was ascertained by the following question: “Do you have a health condition that may put you at higher risk for COVID-19?” †† Disability status was ascertained by the following question: “Do you have serious difficulty seeing, hearing, walking, remembering, making decisions, or communicating?” §§ Work or school requirement was assessed by the following question: “Does your work or school require you to get a COVID-19 vaccine?” Response options were yes, no, or unemployed/not applicable. Responses for “no” and “not applicable” were combined into one category. Adults who had received a provider recommendation were more likely to have received ≥1 dose of COVID-19 vaccine (77.6%) than were those who did not receive a recommendation (61.9%) (aPR = 1.12) (Table 2). Analyses of the interaction between provider recommendation and sociodemographic characteristics on vaccine receipt found that provider recommendation was associated with higher likelihood of receipt of ≥1 COVID-19 vaccine dose among most subgroups, with highest aPR for younger adults (aged 18–29 and 30–39 years; aPR = 1.22), non-Hispanic American Indian or Alaska Native adults (aPR = 1.19), adults living in rural areas (aPR = 1.18), adults living in the West (aPR = 1.17) or Midwest (aPR = 1.15), and adults who did not have a school or work COVID-19 vaccination requirement (aPR = 1.15).
TABLE 2

Association of report of a health care provider recommendation for COVID-19 vaccination and receipt of ≥1 COVID-19 vaccine dose, overall and by selected sociodemographic characteristics — National Immunization Survey-Adult COVID Module, United States, April 22–September 25, 2021

CharacteristicReceipt of ≥1 COVID-19 vaccine dose, % (95% CI)
Provider recommendation
Prevalence ratio
YesNoUnadjustedAdjusted*
Overall
77.6 (77.1–78.1)
61.9 (61.5–62.3)
1.25 (1.24–1.27)
1.12 (1.11–1.14)
Age group, yrs
18–29
63.3 (61.9–64.7)
45.4 (44.5–46.3)
1.39 (1.35–1.44)
1.22 (1.18–1.26)
30–39
68.7 (67.4–70.1)
51.1 (50.1–52.2)
1.34 (1.31–1.38)
1.22 (1.18–1.25)
40–49
74.5 (73.2–75.8)
57.5 (56.4–58.6)
1.30 (1.26–1.33)
1.19 (1.16–1.22)
50–64
80.9 (80.0–81.8)
70.0 (69.1–70.8)
1.16 (1.14–1.18)
1.08 (1.06–1.10)
≥65
91.0 (90.3–91.7)
87.4 (86.7–88.1)
1.04 (1.03–1.05)
1.03 (1.01–1.04)
Sex
Male
78.9 (78.2–79.5)
64.2 (63.6–64.9)
1.23 (1.21–1.24)
1.12 (1.11–1.14)
Female
78.9 (78.2–79.5)
64.2 (63.6–64.9)
1.23 (1.21–1.24)
1.15 (1.13–1.16)
Race/Ethnicity
White, non-Hispanic
80.5 (79.9–81.1)
63.1 (62.6–63.7)
1.27 (1.26–1.29)
1.17 (1.15–1.19)
Black, non-Hispanic
69.0 (67.5–70.5)
56.4 (55.1–57.7)
1.22 (1.19–1.26)
1.07 (1.03–1.10)
Hispanic
74.0 (72.6–75.4)
60.2 (58.9–61.4)
1.23 (1.20–1.26)
1.09 (1.06–1.12)
Asian, non-Hispanic
88.3 (86.2–90.5)
87.1 (85.5–88.7)
1.01 (0.98–1.05)
1.01 (0.96–1.05)
American Indian or Alaska Native, non-Hispanic
69.1 (64.7–73.5)
46.6 (43.1–50.1)
1.48 (1.34–1.64)
1.19 (1.09–1.30)
Other or multiple races, non-Hispanic
67.8 (64.6–71.1)
48.7 (46.3–51.1)
1.39 (1.30–1.49)
1.15 (1.07–1.24)
Essential worker
Essential health care
81.8 (80.6–83.1)
68.3 (66.7–69.8)
1.20 (1.17–1.23)
1.12 (1.08–1.15)
School and child care
84.9 (82.4–87.4)
78.5 (76.4–80.5)
1.08 (1.04–1.13)
1.04 (0.99–1.10)
Other frontline
67.0 (64.8–69.1)
52.2 (50.7–53.7)
1.28 (1.23–1.34)
1.10 (1.07–1.14)
Other essential
68.2 (66.5–69.9)
50.2 (49.0–51.4)
1.36 (1.31–1.41)
1.15 (1.11–1.18)
Not an essential worker
79.3 (78.7–79.9)
64.5 (63.9–65.0)
1.23 (1.22–1.24)
1.15 (1.13–1.16)
MSA §
MSA, principal city
78.1 (77.2–79.0)
65.4 (64.6–66.2)
1.19 (1.17–1.21)
1.10 (1.08–1.12)
MSA, nonprincipal city
78.6 (78.0–79.3)
62.6 (62.0–63.2)
1.26 (1.24–1.27)
1.14 (1.12–1.16)
Non-MSA
71.7 (70.3–73.0)
52.2 (51.1–53.3)
1.37 (1.33–1.41)
1.18 (1.14–1.21)
U.S. Census region
Northeast
81.8 (80.9–82.8)
71.9 (71.0–72.8)
1.14 (1.12–1.16)
1.08 (1.05–1.10)
Midwest
75.4 (74.2–76.6)
57.9 (56.9–59.0)
1.30 (1.27–1.33)
1.15 (1.12–1.18)
South
81.3 (80.2–82.4)
67.8 (66.8–68.8)
1.20 (1.18–1.22)
1.11 (1.09–1.14)
West
74.1 (73.3–74.9)
55.9 (55.3–56.6)
1.32 (1.30–1.35)
1.17 (1.15–1.19)
Comorbidities
Yes
83.5 (82.8–84.2)
71.2 (70.3–72.1)
1.17 (1.15–1.19)
1.15 (1.13–1.17)
No
74.1 (73.4–74.7)
59.3 (58.8–59.8)
1.25 (1.23–1.27)
1.13 (1.11–1.14)
Work or school requirement**
Yes
88.2 (87.1–89.2)
85.7 (84.6–86.8)
1.03 (1.01–1.05)
1.03 (1.01–1.05)
No/Other75.8 (75.2–76.3)59.6 (59.2–60.1)1.27 (1.26–1.28)1.15 (1.14–1.17)

Abbreviation: MSA = metropolitan statistical area.

*Adjusted for age group, sex, transgender identity, sexual orientation, race/ethnicity, education, income, insurance status, MSA, U.S. Census region, comorbidity status, disability status, and essential worker status.

† Essential worker status was defined based on the following questions: “Are you a frontline or essential worker according to your state or region?” and “In what location or setting do you currently work?” Essential worker groups were categorized as “essential healthcare,” “school and childcare,” “other frontline,” “other essential,” and “nonessential.” Nonessential may include both employed and unemployed individuals.

§ MSA status was determined based on household reported city and county of residence and was grouped into three categories: MSA principal city (urban), MSA nonprincipal city (suburban), and non-MSA (rural). MSAs and principal cities were as defined by the U.S. Census Bureau (https://www.census.gov/programs-surveys/metro-micro.html). Non-MSA areas include urban populations not located within an MSA as well as completely rural areas.

¶ Comorbidity status was ascertained by the following question: “Do you have a health condition that may put you at higher risk for COVID-19?”

** Work or school requirement was assessed by the following question: “Does your work or school require you to get a COVID-19 vaccine?” Response options were yes, no, or unemployed/not applicable. Responses for “no” and “not applicable” were combined into one category.

Abbreviation: MSA = metropolitan statistical area. *Adjusted for age group, sex, transgender identity, sexual orientation, race/ethnicity, education, income, insurance status, MSA, U.S. Census region, comorbidity status, disability status, and essential worker status. † Essential worker status was defined based on the following questions: “Are you a frontline or essential worker according to your state or region?” and “In what location or setting do you currently work?” Essential worker groups were categorized as “essential healthcare,” “school and childcare,” “other frontline,” “other essential,” and “nonessential.” Nonessential may include both employed and unemployed individuals. § MSA status was determined based on household reported city and county of residence and was grouped into three categories: MSA principal city (urban), MSA nonprincipal city (suburban), and non-MSA (rural). MSAs and principal cities were as defined by the U.S. Census Bureau (https://www.census.gov/programs-surveys/metro-micro.html). Non-MSA areas include urban populations not located within an MSA as well as completely rural areas. ¶ Comorbidity status was ascertained by the following question: “Do you have a health condition that may put you at higher risk for COVID-19?” ** Work or school requirement was assessed by the following question: “Does your work or school require you to get a COVID-19 vaccine?” Response options were yes, no, or unemployed/not applicable. Responses for “no” and “not applicable” were combined into one category. Report of a provider recommendation was associated with concern about COVID-19 (aPR = 1.31), confidence that COVID-19 vaccines are important to protect oneself (aPR = 1.15), confidence that COVID-19 vaccination was very or completely safe (aPR = 1.17), and perception that many or all of their family and friends had received COVID-19 vaccination (aPR = 1.19) (Supplementary Table 2, https://stacks.cdc.gov/view/cdc/112308). In the jurisdiction-level correlation analysis, COVID-19 vaccination coverage was higher among persons living in jurisdictions with higher prevalence of provider recommendation (correlation coefficient = 0.66) (Figure) (Supplementary Table 1, https://stacks.cdc.gov/view/cdc/112307). For example, in Wyoming, prevalence of report of a provider recommendation was 30.1%, and COVID-19 vaccination coverage was 51.2%, whereas in Puerto Rico, prevalence of provider recommendation was 50.5%, and COVID-19 vaccination coverage was 77.5%.
FIGURE

Correlation of prevalence of report of health care provider recommendation and COVID-19 vaccination coverage (≥1 dose) among 53 jurisdictions,* by jurisdiction — National Immunization Survey Adult-COVID Module, United States, April 22–September 25, 2021

* Sample correlation coefficient = 0.66.

Correlation of prevalence of report of health care provider recommendation and COVID-19 vaccination coverage (≥1 dose) among 53 jurisdictions,* by jurisdiction — National Immunization Survey Adult-COVID Module, United States, April 22–September 25, 2021 * Sample correlation coefficient = 0.66.

Discussion

Health care providers are among the most trusted sources of information on safety and effectiveness of vaccines, and their recommendations are strongly associated with vaccination acceptance (,). This study found that provider recommendation was associated with higher likelihood of getting vaccinated, as well as higher likelihood of having concerns about COVID-19, confidence that vaccines are important to protect oneself from COVID-19, confidence that COVID-19 vaccines are very or completely safe, and perception that many or all of one’s family and friends had received COVID-19 vaccine. The findings from an ecologic analysis also suggest that jurisdictions’ prevalence of provider recommendations was positively associated with jurisdiction-level COVID-19 vaccination coverage. Similar to report of a provider recommendation for influenza vaccine, which was 33.0% in 2016 (), report of a provider recommendation for vaccination against COVID-19 remains low. Approximately less than one half of participants nationwide reported receiving a provider recommendation, with <40% of persons in rural areas and in some jurisdictions reporting a provider recommendation. These patterns mirror known patterns in disparities in health insurance coverage, financial barriers to care, and the use of wellness visits and checkups; as a result, lower access to health care might reduce the opportunity for interactions with trusted providers (). As COVID-19 vaccine availability in primary care settings increases and patients become eligible for additional or booster doses, provider recommendation will continue to serve an important role in motivating individual patient vaccination acceptance and completion (). Health care systems and medical practices can benefit from procedures that build patient and provider confidence in COVID-19 vaccination and strengthen the capacity of health care providers to have conversations about vaccines, address misinformation, and provide tailored information to patients. As trusted sources of medical information, providers have the opportunity to clearly recommend COVID-19 vaccines as a main strategy for preventing serious health outcomes from COVID-19 (). The findings in this study are subject at least six limitations. First, response rates were low (approximately 20%), but consistent with other NIS surveys (). Bias in estimates might remain after weighting for household nonresponse and incomplete sample frame (households with only landline or no telephone service were excluded). Second, vaccination receipt, provider recommendation, and other characteristics (e.g., essential worker status or medical conditions) were self-reported and subject to recall and misclassification bias. For example, the question on medical conditions could have been interpreted by some survey respondents as medical conditions that place them at higher risk for exposure to COVID-19; however, a secondary analysis of a follow-up question on condition type found that approximately 75% indicated a medical condition associated with higher risk for severe COVID-19. Moreover, survey weights were calibrated to COVID-19 vaccine administration data () to mitigate possible bias from incomplete sample frame, nonresponse, and misclassification of vaccination status. Third, the survey did not measure health care provider visits, so a low number of reports of provider recommendation could be due to limited access to health care providers. Fourth, attitudes might have changed over time with changes in the Advisory Committee on Immunization Practices vaccination recommendations or the emergence of the highly transmissible SARS-CoV-2 B.1.617.2 (Delta) variant (). Fifth, the categorization of attitudinal measures was conservative (e.g., classifying someone who reported “somewhat safe” as not believing COVID-19 vaccination is safe), which might have underestimated observed associations. Finally, the survey is cross-sectional; thus, causal relationships cannot be inferred, including the association between beliefs about COVID-19 vaccination and report of a provider recommendation. For example, providers might be more likely to recommend vaccines to persons who express more concerns or who seem more receptive to vaccination; alternatively, these persons might be more likely to remember and report receiving a provider recommendation. In addition, causality between the ecological association of provider recommendation at the jurisdiction level and vaccination coverage cannot be inferred. Health care providers are uniquely positioned to provide COVID-19 vaccination recommendations, and it is important that they continue to promote COVID-19 vaccination to eligible persons. This is particularly important among groups with lower COVID-19 vaccination coverage, including younger adults, racial/ethnic minorities, persons with lower education and income, and rural residents. Empowering health care providers to recommend COVID-19 vaccines at every visit and reducing barriers to health care access could increase confidence in vaccines and COVID-19 vaccination coverage.

What is already known about this topic?

COVID-19 vaccination is critical to controlling the COVID-19 pandemic; health care providers play an important role in achieving high vaccination coverage.

What is added by this report?

Adults who reported a provider COVID-19 vaccination recommendation were more likely to have been vaccinated, to be concerned about COVID-19, to have confidence that COVID-19 vaccines are important and safe, and to perceive that family and friends had been vaccinated.

What are the implications for public health practice?

A health care provider recommendation for COVID-19 vaccines at every visit could increase coverage and confidence in vaccines, particularly among groups with lower COVID-19 vaccination coverage, including younger adults, racial/ethnic minorities, and rural residents.
  5 in total

1.  Understanding disparities in health care access--and reducing them--through a focus on public health.

Authors:  Kathryn Pitkin Derose; Carole Roan Gresenz; Jeanne S Ringel
Journal:  Health Aff (Millwood)       Date:  2011-10       Impact factor: 6.301

2.  Association of provider recommendation and offer and influenza vaccination among adults aged ≥18 years - United States.

Authors:  Peng-Jun Lu; Anup Srivastav; Ashley Amaya; Jill A Dever; Jessica Roycroft; Marshica Stanley Kurtz; Alissa O'Halloran; Walter W Williams
Journal:  Vaccine       Date:  2018-01-10       Impact factor: 3.641

3.  The Influence of Provider Communication Behaviors on Parental Vaccine Acceptance and Visit Experience.

Authors:  Douglas J Opel; Rita Mangione-Smith; Jeffrey D Robinson; John Heritage; Victoria DeVere; Halle S Salas; Chuan Zhou; James A Taylor
Journal:  Am J Public Health       Date:  2015-03-19       Impact factor: 9.308

4.  Provider communication and HPV vaccine uptake: A meta-analysis and systematic review.

Authors:  N Loren Oh; Caitlin B Biddell; Blythe E Rhodes; Noel T Brewer
Journal:  Prev Med       Date:  2021-04-20       Impact factor: 4.018

  5 in total
  9 in total

1.  Association of Demographic, Clinical, and Social Determinants of Health With COVID-19 Vaccination Booster Dose Completion Among US Veterans.

Authors:  Karen H Seal; Daniel Bertenthal; Jennifer K Manuel; Jeffrey M Pyne
Journal:  JAMA Netw Open       Date:  2022-07-01

2.  COVID-19 vaccine concerns of health care providers and ancillary staff.

Authors:  Bruno J Lewin; David Bronstein; Julia E Tubert; John Chang; Yi X Luo; Kristen R Choi; Corrine Munoz-Plaza; June L Rondinelli; Katia Bruxvoort
Journal:  Pediatr Res       Date:  2022-06-18       Impact factor: 3.953

3.  COVID-19 vaccination coverage and intent among women aged 18-49 years by pregnancy status, United States, April-November 2021.

Authors:  Hilda Razzaghi; David Yankey; Kushagra Vashist; Peng-Jun Lu; Jennifer L Kriss; Kimberly H Nguyen; James Lee; Sascha Ellington; Kara Polen; Kimberly Bonner; Tara C Jatlaoui; Elisabeth Wilhelm; Dana Meaney-Delman; James A Singleton
Journal:  Vaccine       Date:  2022-06-13       Impact factor: 4.169

4.  Disparities in COVID-19 Vaccine Booster Uptake in the USA: December 2021-February 2022.

Authors:  Adam Gaffney; David U Himmelstein; Danny McCormick; Steffie Woolhandler
Journal:  J Gen Intern Med       Date:  2022-05-24       Impact factor: 6.473

5.  Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties - United States, December 14, 2020-January 31, 2022.

Authors:  Ryan Saelee; Elizabeth Zell; Bhavini Patel Murthy; Patricia Castro-Roman; Hannah Fast; Lu Meng; Lauren Shaw; Lynn Gibbs-Scharf; Terence Chorba; LaTreace Q Harris; Neil Murthy
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2022-03-04       Impact factor: 17.586

6.  When do persuasive messages on vaccine safety steer COVID-19 vaccine acceptance and recommendations? Behavioural insights from a randomised controlled experiment in Malaysia.

Authors:  Nicholas Yee Liang Hing; Yuan Liang Woon; Yew Kong Lee; Hyung Joon Kim; Nurhyikmah M Lothfi; Elizabeth Wong; Komathi Perialathan; Nor Haryati Ahmad Sanusi; Affendi Isa; Chin Tho Leong; Joan Costa-Font
Journal:  BMJ Glob Health       Date:  2022-07

7.  Transition to endemic: acceptance of additional COVID-19 vaccine doses among Canadian adults in a national cross-sectional survey.

Authors:  Laura Reifferscheid; Janet Sau Wun Lee; Noni E MacDonald; Manish Sadarangani; Ali Assi; Samuel Lemaire-Paquette; Shannon E MacDonald
Journal:  BMC Public Health       Date:  2022-09-14       Impact factor: 4.135

8.  Lay Beliefs About Doctors' Knowledge of and Reasons for Recommending COVID-19 Vaccines.

Authors:  Kimberly A Fisher; Ngoc Nguyen; Kathleen M Mazor
Journal:  J Gen Intern Med       Date:  2022-08-29       Impact factor: 6.473

9.  Effect of age and rural residency on perceptions about SARS-CoV-2 pandemic and vaccination in kidney transplant recipients.

Authors:  Gurmukteshwar Singh; Joseph DeWalle; Bekir Tanriover; Neeraj Singh; Alex R Chang; Prince M Anand
Journal:  Transpl Infect Dis       Date:  2022-09-28
  9 in total

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