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Journal of Primary Care & Community Health logoLink to Journal of Primary Care & Community Health
. 2025 Aug 18;16:21501319251364034. doi: 10.1177/21501319251364034

Patient Attitudes Toward Substance Use Screening and Discussion in Primary Care: Comparison Across Demographic Characteristics

Madeline C Frost 1,2,✉, Jennifer McNeely 3,4, Noa Appleton 3, Sarah Farkas 5, Sarah E Wakeman 6, Timothy E Wilens 7, Joseph Kannry 8, Bethany McLeman 9, Noah Nesin 10, Richard N Rosenthal 11, Carmen Rosa 12, Aimee Wahle 13, Seth Pitts 13, Emily C Williams 1,2, Leah Hamilton 14
PMCID: PMC12365453  PMID: 40826987

Abstract

Introduction:

Screening for unhealthy alcohol and drug use is recommended in primary care, and effective implementation requires understanding patients’ perspectives. Failure to identify and address potential differences in attitudes toward screening across demographic groups may result in care gaps, but research examining this is limited.

Methods:

We surveyed 977 adult patients in 9 primary care clinics that participated in a screening implementation study. The survey collected demographics and attitudes toward screening/discussion of alcohol/drug use in primary care. We described responses overall and compared across age, gender, race, and ethnicity using Chi-square/Fisher’s exact tests.

Results:

Mean age was 51.1 years, and the sample was 39% male, 61% female, 72% White non-Hispanic, 11% Hispanic, 10% Black non-Hispanic, and 6% other/unknown race non-Hispanic. Most participants across all demographic groups reported supportive attitudes. Comfort reporting drug use was lower among young, male, Black non-Hispanic, and Hispanic patients, and comfort with screening overall was lower among middle-aged, Black non-Hispanic, and Hispanic patients.

Conclusions:

Results suggest that screening/discussion of alcohol/drug use in primary care is generally highly acceptable to patients across demographic groups. Strategies are needed to increase comfort and alleviate concerns about how medical information will be used, particularly among middle-aged, Black, and Hispanic patients.

Keywords: primary care, patient, substance use, alcohol, drug, screening, brief intervention, acceptability

Introduction

Alcohol and drug use are common causes of preventable illness and death, and have contributed substantially to decreases in life expectancy in the U.S.1,2 Substance use increases risk for many harmful outcomes, including liver conditions, cancers, mental health conditions, overdose, and suicide.3-5 Unhealthy substance use, defined as any drug use or alcohol use above guideline-recommended levels, may not present with severe symptoms or be identified by patients as a health problem.6,7 As such, it often goes undetected in medical settings. Population-based screening is the first step to ensuring patients with unhealthy use receive appropriate care, which may include brief advice to reduce/stop use and/or providing/referring to substance use disorder (SUD) treatment.8,9 There are multiple brief, evidence-based screening tools available,10,11 and screening in primary care is recommended for adult patients by the U.S. Preventive Services Task Force.12,13

For substance use screening to be effectively implemented in primary care, it is essential to consider the perspectives of patients in this setting. Substance use is a stigmatized condition, particularly in medical settings, and this can impact patients’ comfort with screening. 14 Further, it is important to examine whether there are differences in attitudes across demographic groups. Patients may have differing attitudes toward disclosing health information informed by their experiences, which are impacted by demographic characteristics. 15 Addressing patients’ concerns during implementation of screening may increase comfort disclosing and discussing substance use in primary care, and understanding potential differences across groups may help improve care.

Prior studies examining patient perspectives have found high levels of acceptability for screening and receiving brief advice for substance use in primary care, though patients have reported concerns about confidentiality and stigma.14,16-24 There has been variation in preferences regarding screening format (eg, electronic, paper, and interviewer-administered).18,23,25 Fewer studies have examined differences in attitudes across demographic characteristics. These suggest that women may prefer electronic screening, patients with lower education may prefer interviewer-administered screening, preferences regarding advice/information about unhealthy alcohol use may not differ across characteristics, and Black and older patients may be more open to alcohol blood tests.23-26

Most prior studies examining differences in patient attitudes toward screening/discussion of substance use in primary care across demographic characteristics were conducted ≥10 years ago and/or focus only on alcohol. Therefore, updated research comparing attitudes for both alcohol and drug use is needed. This exploratory study aimed to address these questions using survey data from adult patients in primary care clinics that had recently implemented universal substance use screening.

Methods

Setting

This survey was conducted as part of an implementation feasibility study of alcohol/drug use screening in 9 primary care clinics. Participating clinics were from 2 urban academic healthcare systems in New York City and Boston, and 1 rural federally qualified health center (FQHC) in Maine.27,28 In the implementation study, validated screening questions and a brief counseling script were integrated into the electronic health record (EHR). Clinics varied in their approach (eg, screening at annual preventive care visits vs any primary care visit; patient-administered vs staff-administered) but all aimed for universal annual screening and used the same screening tools.27,28 This study was approved by the institutional review boards of the New York University Grossman School of Medicine, the Icahn School of Medicine at Mount Sinai, and Partners Healthcare System.

Participants and Data Collection

Patients were eligible for the survey if they were 18+ years old, English-speaking, received care in a participating clinic during the implementation study, and could provide informed consent. Surveys were collected 3/2018 to 6/2020. Research staff recruited participants in-person in clinic waiting rooms, and aimed to approach all patients present during recruitment periods. Participants received a study information sheet and provided verbal consent, completed the survey independently on electronic tablets, and received $5. Surveys were anonymous.

The survey collected self-reported demographic information and contained 19 Likert-scale items assessing attitudes toward screening/discussion of alcohol/drug use in primary care, including comfort discussing alcohol/drug use in primary care, biologic tests to assess alcohol/drug use, concerns about this information appearing in their medical chart, and openness to receiving advice about alcohol/drug use from their primary care provider (instrument in Supplemental Appendix A). These items were adapted from a prior survey assessing patient attitudes toward primary care alcohol screening. 24 Specifically, items were adapted to address drug screening in addition to alcohol, and new items were developed based on findings from focus groups conducted in implementation study clinics with patients, providers, and staff (comfort with drug vs alcohol screening, medical record concerns, face-to-face vs paper, and doctor vs nurse/medical assistant). 14

Data Analysis

Likert-scale items had 5 response options; to conserve statistical power, responses were collapsed into 3 categories (disagree/strongly disagree, neither disagree nor agree, and agree/strongly agree). We described the proportion in each category overall and across age groups (18-29, 30-44, 45-64, and ≥65 years), gender (male, female), and race and ethnicity (White non-Hispanic, Black non-Hispanic, other/multiple race non-Hispanic, and Hispanic any race). Statistical comparisons across groups were made using Chi-square tests, or Fisher’s exact test when an expected cell count was <5. 29 Analyses were conducted in Stata 18 software. 30

Results

Demographic characteristics of the study sample (N = 977) are described in Table 1. Mean age was 51.1 years, and over 60% of participants were 45+ years old (2% missing). Thirty-nine percent were male, and 61% were female (1% missing). Most participants (72%) were White non-Hispanic, 11% were Hispanic, 10% were Black non-Hispanic, and 6% were other/multiple race non-Hispanic (2% missing). Demographic characteristics of survey respondents appeared similar to the overall patient population of the study clinics (mean age = 53.5 years, 40.5% male, 59.5% female).27,28 EHR data used in the broader implementation study did not collect race and ethnicity in a manner consistent with this survey, therefore we could not directly compare race/ethnicity categories.

Table 1.

Demographic Characteristics of Sample of Adult Primary Care Patients (N = 977).

Characteristic n %
Age (mean, standard deviation) 51.1 17.6
Age group
 18-29 137 14.0%
 30-44 222 22.7%
 45-64 343 35.1%
 ≥65 253 25.9%
 Missing 22 2.3%
Gender
 Male 377 38.6%
 Female 592 60.6%
 Missing 8 0.8%
Race and ethnicity
 Black non-Hispanic 98 10.0%
 White non-Hispanic 699 71.6%
 Other/multiple race non-Hispanic 55 5.6%
 Hispanic (any race) 107 11.0%
 Missing 18 1.8%

Overall Sample

Participant attitudes are described in Tables 2 to 4. Five survey items had reverse-coded versions to check for response bias, only 1 version of each of these items is included in the tables (reverse-coded versions are reported in Supplemental Appendix B). In the overall sample, most participants agreed with statements supportive of screening (eg, 90% agreed with “my doctor should feel free to ask me about my alcohol/drug use”), ordering tests (eg, 71% agreed with “if my doctor thinks alcohol or drug use is affecting my health, (s)he should feel free to order a test to see if I am using too much”), and receiving advice (eg, 91% agreed with “if alcohol or drug use is affecting my health . . . my doctor should advise me to cut down”), and most disagreed with unsupportive statements (eg, 80% disagreed with “my alcohol/drug use is personal and confidential, and my doctor should not ask me about it”). Most (92%) agreed they would give an honest answer if asked about alcohol/drug use, 80% trusted that information about alcohol/drug use in their medical chart would be used to help them, and 88% were equally comfortable answering questions about drug use compared to alcohol. Over half (58%) preferred to have their doctor ask about alcohol/drug use rather than a nurse or medical assistant, and over half (52%) preferred face-to-face over paper screening.

Table 2.

Patient Attitudes Toward Substance Use Screening/Discussion in Primary Care Across Age Groups.

Age 18-29 (n = 137) Age 30-44 (n = 222) Age 45-64 (n = 343) Age 65+ (n = 253) P-value a Total (N = 955) b
Response % % % % %
As part of my medical care, my doctor should feel free to ask me about my alcohol and drug use.
 Disagree c 2.9 5.4 4.4 4.4 .087 4.4
 Neutral d 2.9 6.3 7.9 2.8 5.5
 Agree e 94.2 88.2 87.7 92.9 90.1
My alcohol and drug use is personal and confidential, and my doctor should not ask me about it.
 Disagree 80.2 78.7 79.0 84.5 .034* 80.5
 Neutral 14.0 11.3 10.8 4.5 9.8
 Agree 5.9 10.0 10.2 11.0 9.8
I would be embarrassed if my doctor asked me about my alcohol and drug use.
 Disagree 85.4 77.9 78.8 84.2 .326 81.0
 Neutral 8.0 10.8 9.1 6.7 8.7
 Agree 6.6 11.3 12.1 9.1 10.3
I would be annoyed if my doctor asked me about my alcohol and drug use.
 Disagree 88.3 80.5 81.8 88.3 .098 84.1
 Neutral 6.6 10.9 8.8 4.5 7.8
 Agree 5.1 8.6 9.4 7.3 8.0
If my doctor asked me about alcohol and drug use, I would probably not give an honest answer.
 Disagree 86.0 81.7 83.2 84.0 .868 83.5
 Neutral 4.4 6.9 6.5 4.5 5.8
 Agree 9.6 11.4 10.3 11.5 10.8
I am more comfortable answering questions about alcohol use than answering questions about drug use.
 Disagree 35.8 39.4 44.4 53.0 .003** 44.3
 Neutral 40.2 39.8 39.5 26.9 36.4
 Agree 24.1 20.8 16.1 20.1 19.4
I would be more comfortable answering questions about alcohol and drug use face-to-face than answering them myself on paper.
 Disagree 16.1 20.3 19.7 20.2 .357 19.4
 Neutral 31.4 29.7 30.5 22.7 28.4
 Agree 52.6 50.0 49.9 57.1 52.2
I would rather have a nurse or medical assistant ask me about my alcohol and drug use than have my doctor ask me.
 Disagree 60.2 61.1 62.7 70.2 .082 63.9
 Neutral 33.8 34.3 28.4 24.4 29.5
 Agree 6.0 4.6 8.9 5.5 6.6
I trust that information about alcohol and drug use that appears in my medical chart will only be used to help me.
 Disagree 3.7 12.6 9.7 5.7 <.001*** 8.4
 Neutral 12.4 15.8 11.4 6.5 11.3
 Agree 83.9 71.6 78.9 87.9 80.3
If my doctor thinks alcohol or drug use is affecting my health, (s)he should feel free to order a test to see if I am using too much.
 Disagree 16.2 15.3 15.3 14.9 .009** 15.3
 Neutral 9.6 17.1 16.5 6.9 13.1
 Agree 74.3 67.6 68.2 78.2 71.6
If my doctor offered me a blood test that could tell if I am drinking too much for my health, I would want to be tested.
 Disagree 3.7 7.2 8.8 7.2 .068 7.3
 Neutral 9.5 11.8 11.7 5.6 9.8
 Agree 86.9 81.0 79.5 87.3 83.0
If my doctor offered me a blood test that could tell if I am using drugs that could damage my health, I would want to be tested.
 Disagree 5.8 7.2 8.2 5.2 .116 6.9
 Neutral 11.0 12.7 12.0 6.1 10.5
 Agree 83.2 80.1 79.8 88.7 82.7
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to cut down.
 Disagree 2.9 5.5 5.0 4.8 .030* 4.7
 Neutral 2.9 4.6 6.4 0.8 4.0
 Agree 94.2 90.0 88.6 94.4 91.3
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to quit.
 Disagree 3.7 3.6 2.9 4.1 .710 f 3.5
 Neutral 5.1 5.0 5.9 2.8 4.8
 Agree 91.2 91.4 91.2 93.1 91.8
a

P-value from chi-square test unless otherwise indicated.

b

22 respondents were missing age data. Some survey questions were not completed by all respondents (missing for 3-41 respondents).

c

“Disagree” or “Strongly Disagree.”

d

“Neither Disagree nor Agree.”

e

“Agree” or “Strongly Agree.”

f

P-value from Fisher’s exact test (expected cell count<5).

*

P < .05. **P < .01. ***P < .001.

Table 4.

Patient Attitudes Toward Substance Use Screening/Discussion in Primary Care Across Race and Ethnicity.

White non-Hispanic (n = 699) Black non-Hispanic (n = 98) Other/multiple race non-Hispanic (n = 55) Hispanic (any race) (n = 107) P-value a Total (N = 959) b
Response % % % % %
As part of my medical care, my doctor should feel free to ask me about my alcohol and drug use.
 Disagree c 3.4 6.1 5.6 7.5 .398 f 4.3
 Neutral d 5.9 6.1 5.6 3.7 5.7
 Agree e 90.7 87.8 88.9 88.8 90.1
My alcohol and drug use is personal and confidential, and my doctor should not ask me about it.
 Disagree 81.0 75.5 81.8 76.6 .023* 80.0
 Neutral 11.1 8.2 9.1 6.5 10.1
 Agree 8.0 16.3 9.1 16.8 9.9
I would be embarrassed if my doctor asked me about my alcohol and drug use.
 Disagree 81.9 71.4 85.5 79.4 .016* f 80.7
 Neutral 9.1 7.1 10.9 8.4 8.9
 Agree 9.1 21.4 3.6 12.2 10.4
I would be annoyed if my doctor asked me about my alcohol and drug use.
 Disagree 85.8 73.5 87.0 79.4 .023* f 83.9
 Neutral 7.4 10.2 9.3 9.4 8.0
 Agree 6.8 16.3 3.7 11.2 8.1
If my doctor asked me about alcohol and drug use, I would probably not give an honest answer.
 Disagree 84.3 73.5 92.6 81.1 .027* f 83.3
 Neutral 5.7 5.1 3.7 6.6 5.6
 Agree 10.0 21.4 3.7 12.3 11.1
I am more comfortable answering questions about alcohol use than answering questions about drug use.
 Disagree 46.5 43.9 30.9 37.4 .026* 44.3
 Neutral 35.7 28.6 50.9 40.2 36.3
 Agree 17.8 27.6 18.2 22.4 19.3
I would be more comfortable answering questions about alcohol and drug use face-to-face than answering them myself on paper.
 Disagree 20.8 21.4 16.7 13.1 .003** 19.7
 Neutral 31.4 17.4 24.1 21.5 28.4
 Agree 47.9 61.2 59.3 65.4 51.9
I would rather have a nurse or medical assistant ask me about my alcohol and drug use than have my doctor ask me.
 Disagree 64.2 65.0 63.6 63.6 <.001*** f 64.2
 Neutral 31.5 17.5 32.7 24.3 29.3
 Agree 4.3 17.5 3.6 12.2 6.6
I trust that information about alcohol and drug use that appears in my medical chart will only be used to help me.
 Disagree 9.4 8.2 3.6 7.5 .844 f 8.7
 Neutral 11.6 10.2 10.9 9.4 11.2
 Agree 79.0 81.6 85.5 83.2 80.1
If my doctor thinks alcohol or drug use is affecting my health, (s)he should feel free to order a test to see if I am using too much.
 Disagree 16.7 11.2 7.4 13.1 .016* 15.2
 Neutral 15.1 8.2 5.6 10.3 13.3
 Agree 68.3 80.6 87.0 76.6 71.6
If my doctor offered me a blood test that could tell if I am drinking too much for my health, I would want to be tested.
 Disagree 7.7 6.1 0.0 6.5 .305 f 6.9
 Neutral 10.4 8.2 7.3 7.5 9.7
 Agree 82.0 85.7 92.7 86.0 83.4
If my doctor offered me a blood test that could tell if I am using drugs that could damage my health, I would want to be tested.
 Disagree 7.5 4.1 1.8 6.5 .015 f * 6.7
 Neutral 12.2 3.1 7.3 6.5 10.3
 Agree 80.3 92.9 90.9 86.9 83.0
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to cut down.
 Disagree 4.6 8.2 5.5 4.7 .779 f 5.0
 Neutral 3.9 3.1 5.5 3.7 3.9
 Agree 91.5 88.8 89.1 91.6 91.1
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to quit.
 Disagree 3.6 6.1 0.0 2.8 .192 f 3.6
 Neutral 5.5 1.0 3.6 2.8 4.6
 Agree 90.9 92.9 96.4 94.4 91.8
a

P-value from chi-square test unless otherwise indicated.

b

18 respondents were missing race and ethnicity data. Some survey questions were not completed by all respondents (missing for 3-43 respondents).

c

“Disagree” or “Strongly Disagree.”

d

“Neither Disagree nor Agree.”

e

“Agree” or “Strongly Agree.”

f

P-value from Fisher’s exact test (expected cell count<5).

*

P < .05. **P < .01. ***P < .001.

Differences Across Age Groups

Age differences are described in Table 2. Participants aged 18 to 29 years were most likely to agree they were “more comfortable answering questions about alcohol use than answering questions about drug use,” while age 45 to 64 years were least likely to agree with this statement. However, there were not significant differences for “I am just as comfortable answering questions about drug use as I am answering questions about alcohol use” (Supplemental Appendix B). Participants aged 18 to 29 and 65+ years were more likely than middle-aged groups to agree with “I trust that information about alcohol/drug use that appears in my medical chart will only be used to help me,” and, “if my doctor thinks alcohol or drug use is affecting my health, (s)he should feel free to order a test to see if I am using too much.” Participants aged 18 to 29 and 65+ years were also slightly more likely than middle-aged groups to disagree with “my alcohol/drug use is personal and confidential, and my doctor should not ask me about it.” Participants aged 45 to 64 years were slightly less likely than other groups to agree with “if alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to cut down.”

Differences Across Gender

Gender differences are described in Table 3. While there were not significant differences for most statements, male patients were more likely than female to agree with “I am more comfortable answering questions about alcohol use than answering questions about drug use.” However, there were not significant differences for “I am just as comfortable answering questions about drug use as I am answering questions about alcohol use” (Supplemental Appendix B).

Table 3.

Patient Attitudes Toward Substance Use Screening/Discussion in Primary Care Across Gender.

Male (n = 377) Female (n = 592) P-value a Total (N = 969) b
Response % % %
As part of my medical care, my doctor should feel free to ask me about my alcohol and drug use.
 Disagree c 5.6 3.6 .110 4.4
 Neutral d 4.3 6.6 5.7
 Agree e 90.2 89.8 90.0
My alcohol and drug use is personal and confidential, and my doctor should not ask me about it.
 Disagree 79.5 80.4 .139 80.0
 Neutral 8.6 11.1 10.1
 Agree 11.9 8.5 9.8
I would be embarrassed if my doctor asked me about my alcohol and drug use.
 Disagree 78.3 82.2 .085 80.7
 Neutral 8.6 9.1 8.9
 Agree 13.1 8.6 10.4
I would be annoyed if my doctor asked me about my alcohol and drug use.
 Disagree 81.8 85.0 .109 83.7
 Neutral 7.8 8.4 8.1
 Agree 10.5 6.7 8.1
If my doctor asked me about alcohol and drug use, I would probably not give an honest answer.
 Disagree 81.5 84.5 .445 83.4
 Neutral 6.3 5.7 5.9
 Agree 12.2 9.8 10.7
I am more comfortable answering questions about alcohol use than answering questions about drug use.
 Disagree 40.2 46.9 .001** 44.3
 Neutral 34.3 37.5 36.3
 Agree 25.5 15.6 19.4
I would be more comfortable answering questions about alcohol and drug use face-to-face than answering them myself on paper.
 Disagree 17.0 21.6 .187 19.8
 Neutral 28.3 28.2 28.3
 Agree 54.7 50.2 51.9
I would rather have a nurse or medical assistant ask me about my alcohol and drug use than have my doctor ask me.
 Disagree 64.5 63.6 .586 63.9
 Neutral 28.1 30.4 29.5
 Agree 7.4 6.0 6.6
I trust that information about alcohol and drug use that appears in my medical chart will only be used to help me.
 Disagree 9.7 8.0 .345 8.7
 Neutral 9.7 12.3 11.3
 Agree 80.7 79.7 80.1
If my doctor thinks alcohol or drug use is affecting my health, (s)he should feel free to order a test to see if I am using too much.
 Disagree 15.3 15.7 .338 15.5
 Neutral 11.3 14.5 13.2
 Agree 73.4 69.9 71.2
If my doctor offered me a blood test that could tell if I am drinking too much for my health, I would want to be tested.
 Disagree 8.9 6.3 .126 7.3
 Neutral 8.0 11.0 9.9
 Agree 83.1 82.7 82.9
If my doctor offered me a blood test that could tell if I am using drugs that could damage my health, I would want to be tested.
 Disagree 8.0 6.3 .489 7.0
 Neutral 9.7 11.1 10.5
 Agree 82.3 82.6 82.5
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to cut down.
 Disagree 6.2 4.4 .490 5.1
 Neutral 4.0 4.1 4.1
 Agree 89.8 91.5 90.9
If alcohol or drug use is affecting my health (such as my blood pressure), my doctor should advise me to quit.
 Disagree 4.8 2.9 .244 3.7
 Neutral 5.4 4.6 4.9
 Agree 89.8 92.5 91.5
a

P-value from chi-square test unless otherwise indicated.

b

8 respondents were missing gender data. Some survey questions were not completed by all respondents (missing for 3-43 respondents).

c

“Disagree” or “Strongly Disagree.”

d

“Neither Disagree nor Agree.”

e

“Agree” or “Strongly Agree.”

*

P < .05. **P < .01. ***P < .001.

Differences Across Race and Ethnicity

Race and ethnicity differences are described in Table 4. Black and Hispanic participants were more likely to agree with, “I would rather have a nurse or medical assistant ask me about my alcohol/drug use than have my doctor ask me.” However, there were not significant differences for “I would rather have my doctor ask me about my alcohol/drug use than have a nurse or medical assistant ask me” (Supplemental Appendix B). White participants were less likely to prefer face-to-face over paper screening, and slightly less likely to agree they would want their doctor to order a test for unhealthy substance use or a blood test for drug use. Black and Hispanic participants were slightly more likely to agree with some statements indicating discomfort with discussing alcohol/drug use in primary care, including “my alcohol/drug use is personal and confidential, and my doctor should not ask me about it,” “I would be embarrassed if my doctor asked me about my alcohol/drug use,” “I would be annoyed if my doctor asked me about my alcohol/drug use,” and “If my doctor asked me about alcohol/drug use, I would probably not give an honest answer.” However, there were not significant differences for “If my doctor asked me about my alcohol/drug use, I would give an honest answer” (Supplemental Appendix B). Black and Hispanic participants were also slightly more likely to agree with, “I am more comfortable answering questions about alcohol use than answering questions about drug use.” However, there were not significant differences for “I am just as comfortable answering questions about drug use as I am answering questions about alcohol use” (Supplemental Appendix B).

Discussion

In this exploratory analysis of survey data from adult primary care patients, most participants across all demographic groups were supportive of screening/discussion of substance use in primary care, in alignment with prior studies,14,16-24 suggesting this strategy is highly acceptable across groups. Just over half preferred face-to-face over paper screening, and more preferred to have their doctor ask about alcohol/drug use than a nurse/medical assistant. There were some differences across demographic groups, most of which, to our knowledge, have not been reported in prior studies examining these differences.23-26 These findings may have implications for implementation.

While mechanisms underlying differences in patient attitudes cannot be determined from this study, several possible explanations exist. Younger people and men more commonly use cannabis and illicit drugs than older people and women, 31 which may make younger and male patients less comfortable answering questions about drug use than alcohol use. More research is needed to understand why middle-aged patients may be less open to doctors ordering tests and more concerned about substance use information in their medical record. Patients in this age range may be more concerned about negative impacts on employment or insurance.

Many of the significant differences across race and ethnicity had larger P-values (P > .01) and these differences should be confirmed in future research. However, mechanisms underlying these potential differences also deserve further study. For example, though most participants in all groups preferred to be asked about alcohol/drug use by their doctor, more research is needed to understand why some Black and Hispanic patients may prefer to be asked by a nurse or medical assistant – for example, these staff may be perceived as more trustworthy, or they may be more likely to share the patient’s racial or ethnic identity.32,33 Attitudes toward screening might change depending on whether administering providers/staff share demographic characteristics with patients; this should be examined in future research.

These findings have implications for future implementation of substance use screening in primary care. While high acceptability among patients may support successful implementation, patients’ potential concerns should be addressed to promote patient-centered care. Strategies are needed to increase comfort and alleviate concerns about how information will be used – particularly among middle-aged, Black, and Hispanic patients. Qualitative research could provide insight into how to increase comfort among these groups.

Just over half of study participants preferred face-to-face over paper screening. However, research suggests patient-administered screening (paper or electronic) is a better approach – staff-administered screening has been found to result in deviation from validated questions,34,35 and in substantially lower detection of unhealthy substance use. 27 Patients surveyed about this topic may have perceived self-administered screening as more burdensome, however in studies that have administered both types of screening, most participants have reported no preference for self- versus interviewer-administered screening.25,36 Participants also tended to prefer to have doctors conduct screening rather than nurses or medical assistants, consistent with prior studies.14,16 However, this approach may not be feasible given limitations on doctors’ time, and its acceptability likely depends on the quality of the individual doctor-patient relationship. Strategies to increase patient comfort with self-administered screening, such as providing patients with adequate information about the purpose of screening and ensuring non-stigmatizing communication and follow-up with medical providers as needed, may be beneficial.

This study has limitations. This analysis did not test a priori specified hypotheses, therefore results should be interpreted as exploratory. While research staff aimed to recruit all patients in waiting rooms, this was not always feasible. Patients who participated may have differed from those who did not in their attitudes. Future patient survey studies might collect non-respondents’ characteristics or ask why they are declining. The sample was majority female and White, and future research with more male and non-White patients may be better able to detect differences across groups. Future research is also needed to understand the perspectives of groups not represented in this study (eg, other specific racial groups and patients who do not speak English) and to examine differences across urban/rural residence. It is unclear what specific drugs participants may have been considering when completing the survey; future research should examine whether attitudes differ across drug types. Additionally, the survey did not track whether participants had already completed screening in the clinic, or what modality they experienced (patient- vs staff-administered). Finally, generalizability may be limited outside of academic and FQHC primary care settings.

Conclusions

In this survey of adult primary care patients, most participants across all demographic groups expressed supportive attitudes toward screening/discussion of alcohol/drug use in primary care. Comparisons across demographic groups suggest comfort answering questions about drug use may be lower among young, male, Black, and Hispanic patients, and comfort with substance use screening overall may be lower among middle-aged, Black, and Hispanic patients. While results suggest substance use screening in primary care is generally highly acceptable to patients across groups, strategies are needed to increase comfort, particularly among middle-aged, Black, and Hispanic patients.

Supplemental Material

sj-docx-1-jpc-10.1177_21501319251364034 – Supplemental material for Patient Attitudes Toward Substance Use Screening and Discussion in Primary Care: Comparison Across Demographic Characteristics

Supplemental material, sj-docx-1-jpc-10.1177_21501319251364034 for Patient Attitudes Toward Substance Use Screening and Discussion in Primary Care: Comparison Across Demographic Characteristics by Madeline C. Frost, Jennifer McNeely, Noa Appleton, Sarah Farkas, Sarah E. Wakeman, Timothy E. Wilens, Joseph Kannry, Bethany McLeman, Noah Nesin, Richard N. Rosenthal, Carmen Rosa, Aimee Wahle, Seth Pitts, Emily C. Williams and Leah Hamilton in Journal of Primary Care & Community Health

Footnotes

Author Note: Preliminary findings from this study were presented at the College of Problems on Drug Dependence 2020 Annual Scientific Meeting (virtual).

ORCID iD: Madeline C. Frost Inline graphic https://orcid.org/0000-0001-5878-7692

Ethical Considerations: This study was approved by the institutional review boards of the New York University Grossman School of Medicine, the Icahn School of Medicine at Mount Sinai, and Partners Healthcare System.

Consent to Participate: Participants received an IRB-approved study information sheet and provided verbal informed consent to participate.

Consent for Publication: Not applicable.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by grants UG1DA013035, UG1DA015831, and HHSN271201400028C (The Emmes Company) from the National Institute on Drug Abuse, National Institutes of Health. This material is based upon work done as part of the VA Advanced Fellowship Program in HSR supported by the Office of Academic Affiliations, US Department of Veterans Affairs. Carmen Rosa, MS, Scientific Officer at the National Institute on Drug Abuse Center for the Clinical Trials Network (retired), contributed to study conception and participated in the writing of the manuscript, and was substantially involved in the study consistent with her role as Scientific Officer (UG1DA013035). She had no substantial involvement in the other cited grants. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health, the Department of Veterans Affairs, or the United States Government.

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr. Wilens receives royalties from Ironshore, Guilford Press, and Cambridge University Press, and consults for Gavin Foundation, Bay Cove Human Services, US National Football League (ERM Associates), US Minor/Major League Baseball, and White Rhino/3D. No other authors have declarations of interest.

Data Availability Statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Supplemental Material: Supplemental material for this article is available online.

References

  • 1. Degenhardt L, Charlson F, Ferrari A, et al. The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Psychiatry. 2018;5(12):987-1012. doi: 10.1016/s2215-0366(18)30337-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Woolf SH, Schoomaker H. Life expectancy and mortality rates in the United States, 1959-2017. JAMA. 2019;322(20):1996-2016. doi: 10.1001/jama.2019.16932 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Rehm J, Gmel GE, Sr, Gmel G, et al. The relationship between different dimensions of alcohol use and the burden of disease—an update. Addiction. 2017;112(6):968-1001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Gan WQ, Buxton JA, Scheuermeyer FX, et al. Risk of cardiovascular diseases in relation to substance use disorders. Drug Alcohol Depend. 2021;229:109132. [DOI] [PubMed] [Google Scholar]
  • 5. Bohnert ASB, Ilgen MA. Understanding links among opioid use, overdose, and suicide. N Engl J Med. 2019;380(1):71-79. doi: 10.1056/NEJMra1802148 [DOI] [PubMed] [Google Scholar]
  • 6. Saitz R. Clinical practice. Unhealthy alcohol use. N Engl J Med. 2005;352(6):596-607. doi: 10.1056/NEJMcp042262 [DOI] [PubMed] [Google Scholar]
  • 7. McLellan AT, Koob GF, Volkow ND. Preaddiction—a missing concept for treating substance use disorders. JAMA Psychiatry. 2022;79(8):749-751. [DOI] [PubMed] [Google Scholar]
  • 8. Witkiewitz K, Litten R, Leggio L. Advances in the science and treatment of alcohol use disorder. Sci Adv. 2019;5(9):eaax4043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Department of Veterans Affairs. VA/DoD Clinical Practice Guideline for the Management of Substance Use Disorders. Accessed January 7, 2022. https://www.healthquality.va.gov/guidelines/MH/sud/VADoDSUDCPG.pdf. 2021
  • 10. Pilowsky DJ, Wu L-T. Screening for alcohol and drug use disorders among adults in primary care: a review. Subst Abuse Rehabil. 2012;3(1):25-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. McNeely J, Hamilton L. Screening for unhealthy alcohol and drug use in general medicine settings. Med Clin. 2022;106(1):13-28. [DOI] [PubMed] [Google Scholar]
  • 12. Krist AH, Davidson KW, Mangione CM, et al. Screening for unhealthy drug use: US preventive services task force recommendation statement. JAMA. 2020;323(22):2301-2309. doi: 10.1001/jama.2020.8020 [DOI] [PubMed] [Google Scholar]
  • 13. Curry SJ, Krist AH, Owens DK, et al. Screening and behavioral counseling interventions to reduce unhealthy alcohol use in adolescents and adults: US preventive services task force recommendation statement. JAMA. 2018;320(18):1899-1909. doi: 10.1001/jama.2018.16789 [DOI] [PubMed] [Google Scholar]
  • 14. McNeely J, Kumar PC, Rieckmann T, et al. Barriers and facilitators affecting the implementation of substance use screening in primary care clinics: a qualitative study of patients, providers, and staff. Addict Sci Clin Pract. 2018;13(1):8. doi: 10.1186/s13722-018-0110-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Nong P, Williamson A, Anthony D, Platt J, Kardia S. Discrimination, trust, and withholding information from providers: implications for missing data and inequity. SSM Popul Health. 2022;18:101092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Spear SE, Shedlin M, Gilberti B, Fiellin M, McNeely J. Feasibility and acceptability of an audio computer-assisted self-interview version of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in primary care patients. Subst Abus. 2016;37(2):299-305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. O’Donnell A, Hanratty B, Schulte B, Kaner E. Patients’ experiences of alcohol screening and advice in primary care: a qualitative study. BMC Fam Pract. 2020;21(1):68. doi: 10.1186/s12875-020-01142-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bertholet N, Cunningham JA, Adam A, McNeely J, Daeppen J-B. Electronic screening and brief intervention for unhealthy alcohol use in primary care waiting rooms–a pilot project. Subst Abus. 2020;41(3):347-355. [DOI] [PubMed] [Google Scholar]
  • 19. Rose GL, MacLean CD, Skelly J, Badger GJ, Ferraro TA, Helzer JE. Interactive voice response technology can deliver alcohol screening and brief intervention in primary care. J Gen Intern Med. 2010;25:340-344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Bonds DE, Ellis SD, Weeks E, Lichstein P, Burke K, Posey C. Patient attitudes toward screening. N C Med J. 2007;68(1):23. [PubMed] [Google Scholar]
  • 21. Goodyear-Smith F, Arroll B, Sullivan S, Elley C, Docherty B, Janes R. Lifestyle screening: development of an acceptable multi-item general practice tool. N Z Med J. 2004;117(1205):U1146. [PubMed] [Google Scholar]
  • 22. Elley CR, Dawes D, Dawes M, Price M, Draper H, Goodyear-Smith F. Screening for lifestyle and mental health risk factors in the waiting room: feasibility study of the Case-finding Health Assessment Tool. Can Fam Physician. 2014;60(11):e527-e534. [PMC free article] [PubMed] [Google Scholar]
  • 23. Bungey JB, Pols RG, Mortimer KP, Frank OR, Skinner HA. Screening alcohol & drug use in a general practice unit: comparison of computerised and traditional methods. Community Health Stud. 1989;13(4):471-483. [DOI] [PubMed] [Google Scholar]
  • 24. Miller PM, Thomas SE, Mallin R. Patient attitudes towards self-report and biomarker alcohol screening by primary care physicians. Alcohol Alcohol. 2006;41(3):306-310. [DOI] [PubMed] [Google Scholar]
  • 25. Adam A, Schwartz RP, Wu L-T, et al. Electronic self-administered screening for substance use in adult primary care patients: feasibility and acceptability of the tobacco, alcohol, prescription medication, and other substance use (myTAPS) screening tool. Addict Sci Clin Pract. 2019;14:1-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Scharer JL, Gass JC, Shepardson RL, Maisto SA, Funderburk JS. Factors influencing patient receptivity to brief alcohol interventions in primary care: an application of conjoint analysis. Subst Use Misuse. 2024;59(1):90-96. [DOI] [PubMed] [Google Scholar]
  • 27. McNeely J, Adam A, Rotrosen J, et al. Comparison of methods for alcohol and drug screening in primary care clinics. JAMA Netw Open. 2021;4(5):e2110721. doi: 10.1001/jamanetworkopen.2021.10721 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. McNeely J, McLeman B, Gardner T, et al. Implementation of substance use screening in rural federally-qualified health center clinics identified high rates of unhealthy alcohol and cannabis use among adult primary care patients. Addict Sci Clin Pract. 2023;18(1):56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Kim H-Y. Statistical notes for clinical researchers: Chi-squared test and Fisher’s exact test. Restor Dent Endod. 2017;42(2):152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. StataCorp. Stata Statistical Software: Release 18. StataCorp LLC. 2023; [Google Scholar]
  • 31. Center for Behavioral Health Statistics and Quality. 2022 National Survey on Drug Use and Health: Detailed Tables. Substance Abuse and Mental Health Services Admininstration; 2023. [Google Scholar]
  • 32. Salsberg E, Richwine C, Westergaard S, et al. Estimation and comparison of current and future racial/ethnic representation in the US health care workforce. JAMA Netw Open. 2021;4(3):e213789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Snyder CR, Frogner BK, Skillman SM. Facilitating racial and ethnic diversity in the health workforce. J Allied Health. 2018;47(1):58-69. [PubMed] [Google Scholar]
  • 34. Bradley KA, Lapham GT, Hawkins EJ, et al. Quality concerns with routine alcohol screening in VA clinical settings. J Gen Intern Med. 2011;26(3):299-306. doi: 10.1007/s11606-010-1509-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Williams EC, Achtmeyer CE, Thomas RM, et al. Factors underlying quality problems with alcohol screening prompted by a clinical reminder in primary care: a multi-site qualitative study. J Gen Intern Med. 2015;30(8):1125-1132. doi: 10.1007/s11606-015-3248-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. McNeely J, Strauss SM, Rotrosen J, Ramautar A, Gourevitch MN. Validation of an audio computer-assisted self-interview (ACASI) version of the alcohol, smoking and substance involvement screening test (ASSIST) in primary care patients. Addiction. 2016;111(2):233-244. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sj-docx-1-jpc-10.1177_21501319251364034 – Supplemental material for Patient Attitudes Toward Substance Use Screening and Discussion in Primary Care: Comparison Across Demographic Characteristics

Supplemental material, sj-docx-1-jpc-10.1177_21501319251364034 for Patient Attitudes Toward Substance Use Screening and Discussion in Primary Care: Comparison Across Demographic Characteristics by Madeline C. Frost, Jennifer McNeely, Noa Appleton, Sarah Farkas, Sarah E. Wakeman, Timothy E. Wilens, Joseph Kannry, Bethany McLeman, Noah Nesin, Richard N. Rosenthal, Carmen Rosa, Aimee Wahle, Seth Pitts, Emily C. Williams and Leah Hamilton in Journal of Primary Care & Community Health


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