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Table 1.  

Characteristic No. (%)
Age, y
18–24 284 (15.5)
25–34 371 (20.2)
35–44 346 (18.9)
45–54 270 (14.7)
55–64 312 (17.0)
≥65 212 (11.6)
Unknown/missing 38 (2.1)
Sex
Male 707 (38.6)
Female 1,116 (60.9)
Unknown/missing 10 (0.5)
Race/ethnicity
White 305 (16.6)
Black 1,150 (62.7)
Hispanic 311 (17.0)
Other 40 (2.2)
Unknown/missing 27 (1.5)
Education
<High school graduate 262 (14.3)
High school graduate 478 (26.1)
Some college 501 (27.3)
College graduate 504 (27.5)
Unknown/missing 88 (4.8)
Has health insurance
Yes 1,440 (78.6)
No 363 (19.8)
Unknown/missing 30 (1.6)
Has a personal physician
Yes 1,259 (68.7)
No 473 (25.8)
Not sure/refused 2 (0.1)
Unknown/missing 99 (5.4)

Table 1. Demographic Characteristics of Adults Participating in the Arkansas Minority Barber & Beauty Shop Health Initiative (N = 1,833), Arkansas, 2016–2019

Table 2.  

Result No. (%)
Blood pressure
Hypotension (90 mm Hg/<60 mm Hg) 5 (0.3)
Normal (91–120 mm Hg/61–80 mm Hg) 524 (28.6)
Prehypertension (121–139 mm Hg/81–89 mm Hg) 643 (35.1)
Stage 1 hypertension (140–159 mm Hg/90–99 mm Hg) 405 (22.1)
Stage 2 hypertension (160–179 mm Hg/100–109 mm Hg) 173 (9.4)
Critical hypertension (≥180 mm Hg/≥110 mm Hg) 61 (3.3)
Unknown/missing 22 (1.2)
Cholesterol
Hypocholesterolemia (0–49 mg/dL) 0
Normal (50–200 mg/dL) 1,324 (72.2)
Borderline (201–239 mg/dL) 238 (13.0)
High (≥240 mg/dL) 118 (6.4)
Unknown/missing 153 (8.3)
Blood glucose
Low (0–70 mg/dL) 69 (3.8)
Normal (71–140 mg/dL) 1,470 (80.2)
Prediabetes (141–200 mg/dL) 113 (6.2)
Diabetes (≥201 mg/dL) 100 (5.5)
Unknown/missing 81 (4.4)
Body mass index, kg/m2
Underweight (<18.5) 0
Normal (18.5-24.9) 352 (19.2)
Overweight (25.0–29.9) 497 (27.1)
Obese (≥30.0) 901 (49.2)
Unknown/missing 83 (4.5)

Table 2. Screening and Referral Results of Adults Participating in the Arkansas Minority Barber & Beauty Shop Health Initiative (N = 1,833), Arkansas, 2016–2019

Table 3.  

Question Correct Answer Pretest, % Correct Posttest, % Correct P Valuea Percentage-Point Difference
Multiple Choice
What should a normal blood pressure level be? Top number <120 55.0 86.6 <.001 31.5
What should a normal blood pressure level be? Bottom number <80 50.7 77.7 <.001 27.0
What is a normal total cholesterol level? <200 44.6 87.9 <.001 43.3
If you thought someone was having a stroke or heart attack, what would be the first thing you should do? Call 911 92.7 98.2 <.001 5.6
Average correct 60.8 87.6 26.8
True or False
The following are some symptoms of a stroke
Facial droop True 90.4 98.5 <.001 8.1
Slurred speech True 90.6 98.1 <.001 7.5
Weakness in arm or leg True 89.9 95.1 <.001 5.2
The following are some symptoms of a heart attack
Chest pain True 94.1 97.4 <.001 3.3
Nausea/flu-like symptoms True 70.4 90.0 <.001 19.6
Neck, back, and jaw pain True 74.6 90.0 <.001 15.5
Shortness of breath True 93.4 95.9 <.001 2.5
Average correct 86.2 95.0 8.8
All
Overall average correct 76.9 92.3 15.4

Table 3. Knowledge Assessment Results of Adults Participating in the Arkansas Minority Barber & Beauty Shop Health Initiative (N = 1,833), Arkansas, 2016–2019

a Differences between pretest and posttest determined by χ2 test.

CME / ABIM MOC

The Arkansas Minority Barber and Beauty Shop Health Initiative: Meeting People Where They Are

  • Authors: Chimfumnanya Smith, MPH, CHES; Austin Porter III, DrPH, MPH; Joyce Biddle, MPA, MPH; Appathurai Balamurugan, MD, DrPH; Michelle R. Smith, PhD, MPH
  • CME / ABIM MOC Released: 12/3/2020
  • THIS ACTIVITY HAS EXPIRED FOR CREDIT
  • Valid for credit through: 12/3/2021
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Target Audience and Goal Statement

This activity is intended for primary care physicians and other physicians who provide health screenings and preventive care.

The goal of this activity is to assess the impact of community-based health screenings for Black and Latinx adults.

Upon completion of this activity, participants will be able to:

  • Assess racial and ethnic disparities in cardiovascular health in the United States
  • Distinguish the most common cardiovascular risk factors identified in the current study
  • Evaluate follow-up among adults who received abnormal results during health screenings in the current study
  • Identify which health topic was associated with the greatest gain in patient knowledge in the current study


Disclosures

As an organization accredited by the ACCME, Medscape, LLC requires everyone who is in a position to control the content of an education activity to disclose all relevant financial relationships with any commercial interest. The ACCME defines "relevant financial relationships" as financial relationships in any amount, occurring within the past 12 months, including financial relationships of a spouse or life partner, that could create a conflict of interest.

Medscape, LLC encourages Authors to identify investigational products or off-label uses of products regulated by the US Food and Drug Administration, at first mention and where appropriate in the content.


Faculty

  • Chimfumnanya Smith, MPH, CHES

    Arkansas Department of Health
    Little Rock, Arkansas

    Disclosures

    Disclosure: Chimfumnanya Smith, MPH, CHES, has disclosed no relevant financial relationships.

  • Austin Porter III, DrPH, MPH

    Arkansas Department of Health
    Fay W. Boozman College of Public Health
    University of Arkansas for Medical Sciences
    Little Rock, Arkansas

    Disclosures

    Disclosure: Austin Porter III, DrPH, MPH, has disclosed no relevant financial relationships.

  • Joyce Biddle, MPA, MPH

    Arkansas Department of Health
    Little Rock, Arkansas

    Disclosures

    Disclosure: Joyce Biddle, MPA, MPH, has disclosed no relevant financial relationships.

  • Appathurai Balamurugan, MD, DrPH

    Arkansas Department of Health
    Fay W. Boozman College of Public Health
    University of Arkansas for Medical Sciences
    Little Rock, Arkansas

    Disclosures

    Disclosure: Appathurai Balamurugan, MD, DrPH, has disclosed no relevant financial relationships.

  • Michelle R. Smith, PhD, MPH

    Arkansas Department of Health
    Little Rock, Arkansas

    Disclosures

    Disclosure: Michelle R. Smith, PhD, MPH, has disclosed no relevant financial relationships.

CME Author

  • Charles P. Vega, MD

    Health Sciences Clinical Professor of Family Medicine
    University of California, Irvine School of Medicine
    Irvine, California

    Disclosures

    Disclosure: Charles P. Vega, MD, has disclosed the following relevant financial relationships:
    Served as an advisor or consultant for: GlaxoSmithKline

Editor

  • Ellen Taratus

    Editor, Preventing Chronic Disease

    Disclosures

    Disclosure: Ellen Taratus has disclosed no relevant financial relationships.

CME Reviewer/Nurse Planner

  • Stephanie Corder, ND, RN, CHCP

    Associate Director
    Accreditation and Compliance
    Medscape, LLC

    Disclosures

    Disclosure: Stephanie Corder, ND, RN, CHCP, has disclosed no relevant financial relationships.

CE Reviewer

  • Hazel Dennison, DNP, RN, FNP-BC, CHCP, CPHQ, CNE

    Associate Director
    Accreditation and Compliance
    Medscape, LLC

    Disclosures

    Disclosure: Hazel Dennison, DNP, RN, FNP-BC, CHCP, CPHQ, CNE, has disclosed no relevant financial relationships.

Medscape, LLC staff have disclosed that they have no relevant financial relationships.


Accreditation Statements



In support of improving patient care, this activity has been planned and implemented by Medscape, LLC and Preventing Chronic Disease. Medscape, LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

    For Physicians

  • Medscape, LLC designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™ . Physicians should claim only the credit commensurate with the extent of their participation in the activity.

    Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.0 MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.

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CME / ABIM MOC

The Arkansas Minority Barber and Beauty Shop Health Initiative: Meeting People Where They Are: Methods

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Methods

In March 2013, the Office of Health Equity, in partnership with the cosmetology section of the Arkansas Department of Health, contacted minority-owned barbershops, beauty shops, and barber/beauty colleges and invited them to an educational session where CVD risk factors (eg, hypertension, diabetes, obesity, tobacco use) and their effect on racial/ethnic minority communities were discussed. The ARBBS initiative was introduced to the business owners, and they were asked if they would want their shops or colleges to be screening locations. To qualify as a screening site, a business was required to meet a threshold of at least 50 clients on a given Saturday, 5 to 10 barbers or beauticians working on a given Saturday, and the capacity to host 18 to 36 volunteer team members without disrupting their flow of business. All locations that met the criteria and whose owners were willing to participate signed a form approving their businesses to serve as health screening locations. This study was approved by the institutional review board at the University of Arkansas for Medical Sciences. The study was conducted in 14 counties from February 2016 through June 2019 (the study period).

Volunteer recruitment and training

Medical and nonmedical volunteers were recruited from local universities and colleges, the health department, local hospitals, and nonprofit organizations in the community. Volunteers recruited included physicians, advanced nurse practitioners, registered nurses, dietitians/nutritionists, certified health education specialists, public health practitioners, nursing students, pharmacy students, medical students, public health students, Spanish interpreters, and laypeople. Recruitment emails were sent out to various listservs, and flyers were printed and distributed to colleges and organizations.

All volunteers were required to attend a mandatory 2-hour standardized training before participating in the health screenings. The training included a review of a participant survey, protocols for each volunteer role, and instructions on how to administer a survey properly. Twenty-one training sessions were conducted during the 4 years, with 1,012 total volunteers in attendance.

Participant recruitment

Study participants were recruited from the clientele of participating beauty shops and barbershops and via bilingual (English and Spanish) radio, internet, newspaper, and television advertisements. People who agreed to participate in the health screening signed a consent form that detailed the types of screening to be performed as well as their rights to confidentiality and privacy. All participants had to be aged 18 years or older.

Screening process

The screening consisted of 8 checkpoints: 1) registration, 2) blood pressure measurement (via sphygmomanometer), 3) blood glucose and cholesterol measurement (via finger stick), 4) education on tobacco cessation, 5) education on heart disease and stroke, 6) screening for body mass index (BMI) (height and weight were measured) and education on proper nutrition and physical activity, 7) counseling and medical referrals, and 8) posttest survey. A pretest survey was administered at checkpoints 2 through 5. Volunteers were assigned to checkpoints on the basis of their training and expertise. Health educators and health practitioners conducted the educational components on CVD (heart attack and stroke), CVD risk factors (high blood pressure, high cholesterol, diabetes, and tobacco use), and proper physical activity and nutrition habits. Participants received counseling and medical referrals at checkpoint 7 from volunteers who were either medical doctors or advanced nurse practitioners. The screening process took approximately 45 minutes to an hour to complete.

Participants who had abnormal screening results for hypertension, diabetes, or cholesterol (Box; [20,21]) were referred to medical providers or charitable clinics for further evaluation and follow-up. Participants who had a primary care physician were referred to seek treatment from their provider. Participants who did not have a primary care physician were referred to charitable clinics or medical providers in their area, regardless of their health insurance status. Participants who had a BMI of 25.0 kg/m2 or higher were referred to health care providers for support with proper nutrition and physical activity.

Box. Chronic Disease Risk Levels
Hypertension risk (blood pressure measurements)
Hypotension (90 mm Hg/<60 mm Hg)
Normal (91–120 mm Hg/61–80 mm Hg)
Prehypertension (121–139 mm Hg/81–89 mm Hg)
Medium stage 1 (140–159 mm Hg/90–99 mm Hg)
High stage 2 (160–179 mm Hg/100–109 mm Hg)
Critical (≥180 mm Hg/≥110 mm Hg)
Cholesterol levels
Hypocholesterolemia (0–49 mg/dL)
Normal (50–200 mg/dL)
Borderline (201–239 mg/dL)
High (≥240 mg/dL)
Diabetes risk (blood glucose levels)
Low (0–70 mg/dL)
Normal (51–140 mg/dL)
Prediabetes (141–200 mg/dL)
Diabetes (≥201 mg/dL)
Body mass index risk (kg/m2)
Underweight (<18.5)
Normal (18.5–24.9)
Overweight (25.0–29.9)
Obese (≥30.0)

Pretest and posttest. A pretest questionnaire and posttest questionnaire were used to obtain data on demographic characteristics, access to care, chronic disease risk levels, knowledge of chronic diseases, and medical referral status. Trained volunteers administered a paper-and-pencil bilingual (English and Spanish) survey to each participant during checkpoints 2 through 5 (pretest) and at checkpoint 8 (posttest). Each questionnaire had a unique identification number. Survey questions were adapted from the Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System. The pretest questions asked about demographic characteristics (age, sex, race/ethnicity, education) and whether the participant had a personal physician and health insurance. In addition, both the pretest and posttest survey assessed knowledge of chronic disease with the following multiple-choice questions: “What should a normal blood pressure be?” Responses for “top number” were less than 200, 130, 140, greater than 150, or don’t know. Responses for “bottom number” were less than 80, 90, 100, greater than 120, or don’t know. “What is a normal total cholesterol level?” Responses were less than 200, 250, 300, 400, or don’t know. Two questions were in true–false format: 1) “The following are some symptoms of a stroke” Responses were facial droop, slurred speech, weakness in arm or leg. 2) “The following are some symptoms of a heart attack” Responses were chest pain; nausea/flu-like symptoms; neck, back, and jaw pain; shortness of breath). Finally, “What is the first thing you should do if you thought someone was having a stroke or heart attack?” Responses were “take them to the hospital,” “Tell them to call their doctor,” “Call 911,” “Call their spouse or family member,” and “don’t know.”

Medical referrals When a participant was referred for medical follow-up, the study team initiated a new form. This bilingual medical referral form recorded the participant’s contact information and screening results and was used to track people who were referred for follow-up medical care. The unique survey number was transferred to the medical referral form if the participant received a referral. The nurse coordinator, a staff member of the Office of Health Equity, conducted follow-up telephone calls within 30 days after the screening and every 3 months thereafter for a year. During the follow-up calls, participants were asked if they kept their medical appointments, started new medications, had a change in medication, changed their dietary habits, started exercising, or quit tobacco use (if applicable); their responses were self-reported. We tracked the number of participants who kept their medical appointments and the number of participants who agreed to return to the health screening the following year. The nurse coordinator also noted any other information that the participants provided, such as whether they had received any surgical interventions as a result of the screening intervention.

Data analysis Our analytic sample consisted of 1,833 participants. We used descriptive statistics to summarize data on the demographic characteristics of the participants, their access to care (health insurance and personal physician), knowledge of disease, and screening results. We used data obtained from medical referral and participant follow-up forms to examine compliance (eg, keeping physician appointments or taking hypertension medication) and management of risk factors (eg, exercise, proper diet to reduce obesity, smoking cessation) among participants who received referrals. We conducted χ2 tests to determine whether the education received during the screening event improved the number of correct answers on the posttest. We managed all data obtained from the health screenings and follow-up telephone calls in REDCap version 9.1.20 (Vanderbilt University). We used SAS version 9.4 (SAS Institute Inc) to conduct all analyses.