Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

The impact of the COVID-19 pandemic on the rate of primary care visits for substance use among patients in Ontario, Canada

  • Colin Siu ,

    Roles Conceptualization, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    colinwk.siu@mail.utoronto.ca

    Affiliations Temerty Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America

  • Ellen Stephenson,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Temerty Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada

  • Chelsea D. Christie,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation Temerty Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada

  • Peter Selby,

    Roles Funding acquisition, Writing – review & editing

    Affiliations Temerty Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada, Campbell Family Research Institute and Krembil Centre for Neuroinformatics, Toronto, Ontario, Canada, Centre for Addiction and Mental Health, Toronto, Ontario, Canada

  • Karen Tu

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Temerty Faculty of Medicine, Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada, North York General Hospital, Toronto, Ontario, Canada, Toronto Western Family Health Team, University Health Network, Toronto, Ontario, Canada

Abstract

The COVID-19 pandemic has led to an increase in the prevalence of substance use presentations. This study aims to assess the impact of the COVID-19 pandemic on the rate of primary care visits for substance use including tobacco, alcohol, and other drug use among primary care patients in Ontario, Canada. Diagnostic and service fee code data were collected from a longitudinal cohort of family medicine patients during pre-pandemic (March 14, 2019-March 13, 2020) and pandemic periods (March 14, 2020-March 13, 2021). Generalized linear models were used to compare the rate of substance-use related visits pre-pandemic and during the pandemic. The effects of demographic characteristics including age, sex, and income quintile were also assessed. Relative to the pre-pandemic period, patients were less likely to have a primary care visit during the pandemic for tobacco-use related reasons (OR = 0.288, 95% CI [0.270–0.308]), and for alcohol-use related reasons (OR = 0.851, 95% CI [0.780–0.929]). In contrast, patients were more likely to have a primary care visit for other drug-use related reasons (OR = 1.150, 95% CI [1.080–1.225]). In the face of a known increase in substance use during the COVID-19 pandemic, a decrease in substance use-related primary care visits likely represents an unmet need for this patient population. This study highlights the importance of continued research in the field of substance use, especially in periods of heightened vulnerability such as during the COVID-19 pandemic.

Introduction

The COVID-19 pandemic has led to increased stress and anxiety as well as maladaptive coping strategies including substance use [1]. One survey indicated that 13% of respondents either initiated or increased substance use to help cope with COVID-19 pandemic stressors [2]. A study showed that 33% of participants increased smoking use [3], while 14% increased alcohol use during the pandemic [4]. Moreover, there have been increases in drug and opioid overdose presentations in hospital emergency departments [57].

Primary care providers are ideally positioned to help patients with substance use disorders given their pre-existing relationships with patients. The integration of substance use diagnosis and treatment into primary care is effective in reducing rates of substance use disorders [8,9] and lowering healthcare system costs [10]. However, the COVID-19 pandemic may have led to challenges in administering this type of care. For example, the number of patients attending primary care visits decreased by 34.5% during the pandemic [11]. In particular, preventive care visits were substantially reduced with 89% fewer periodic health exams being conducted [12]. Another challenge is the introduction of telemedicine which represented up to 77.5% of primary care visits during the pandemic [12], and presented unique challenges to substance use care delivery [13,14]. These factors may have served as obstacles to the delivery of high-quality primary care to those with substance use disorders during the COVID-19 pandemic.

The aim of this study was to assess the impact of the COVID-19 pandemic on the rate of primary care visits for substance use including tobacco, alcohol, and other drug use among patients in Ontario, Canada.

Methods

Study design and setting

We conducted a longitudinal cohort study of family medicine patients in the University of Toronto Practice-Based Research Network (UTOPIAN) from March 14, 2019, to March 13, 2021. UTOPIAN maintains a primary care electronic medical record (EMR) database with records contributed from over four hundred family physicians in Ontario, Canada. Family physicians contributing data to the UTOPIAN database are more likely to be female, younger, Canadian medical school graduates and practicing in an academic clinic [15]. The majority of patients enrolled in the UTOPIAN database reside in the Greater Toronto Area of Ontario.

Family physician data were included if they had at least 200 rostered patients and their data met UTOPIAN data quality assessment criteria [15]. Patient data were included if they were registered under a family physician that met the above inclusion criteria, had sex and a valid date of birth recorded, had an EMR start date before the study period, and had more than 1 visit in the preceding three years. Patients under 12 years of age were excluded.

The first case of COVID-19 in Ontario was identified on January 25, 2020 [16]. As COVID cases continued to rise, the Ontario government announced a provincial emergency lockdown order on March 17, 2020, which restricted the opening of certain establishments and recreational spaces, limited the size of public gatherings, and closed non-essential businesses [17]. Concurrently, the government of Ontario implemented new service fee codes on March 14, 2020, which remunerated family physicians for the provision of assessments of or counselling to patients by telephone or video [18]. The date of March 14, 2020 was used to define the onset of the COVID-19 pandemic in this study. The University of Toronto Research Ethics Board approved this study (Protocol # 28696/40129).

Measures

We used two types of measures to identify patients presenting to family physicians with a substance use-related issue: (1) Ontario Health Insurance Plan (OHIP) service fee codes and (2) OHIP diagnostic codes for primary care visits related to substance use. Family physicians are required to submit both an OHIP service fee code for remuneration and an OHIP diagnostic code indicating the primary reason for each patient visit. Substance use visits can be indicated by a substance-use specific service fee code, or a service fee code indicating a general visit alongside a diagnostic code for substance use. Hence, it is important to evaluate both service fee and diagnostic codes when looking for trends in primary care visits.

Ontario service fee codes for tobacco use include: E079 (initial discussion with patient regarding smoking cessation), K039 (smoking cessation follow-up visit), and Q042A (smoking cessation counselling fee) [19]. OHIP diagnostic codes for tobacco use include: 305 (tobacco use), and for alcohol use include: 303 (alcohol use), and 291 (alcoholic psychosis, delirium tremens, Korsakov’s psychosis). OHIP diagnostic codes for other drug use excluding tobacco and alcohol include: 304 (drug dependence, drug addiction), 977 (drug overdose; attempted suicide (drug); adverse effect of drugs and medications–including allergy, overdose, reactions; allergy (drugs and medications)), and 292 (drug psychosis). Both fee codes and diagnostic codes have been used in previous studies to delineate primary care use [2022].

For both fee and diagnostic code measures, a patient was designated as having had a substance-use-related visit during the period if they had one or more visits that were submitted using the designated service fee or diagnostic codes. Patients with a visit where both a substance use-related fee code and a diagnostic code were submitted were only counted once. To estimate the rate of patients with at least one substance-use related visit within each time period, the total number of patients with a substance-use-related visit was divided by the number of eligible patients within that period.

Statistical analysis

We used a series of generalized linear models to compare the rate of substance-use related fee and diagnostic codes pre-pandemic (March 14-2019-March 13, 2020) and during the pandemic (March 14, 2020-March 13, 2021). All models assessing the impact of the pandemic on tobacco, alcohol, and other drug use related visits were adjusted for age, sex, and neighborhood income quintile. Logistic regression was used to model the binary outcome of whether a substance-use related visit took place in either period. For the outcome measures, we assessed the effects of demographic characteristics including age, sex, neighborhood income quintile (based on postal code) [23], and pre-pandemic/pandemic periods, as well as possible interactions between these characteristics. Generalized estimating equations were used to estimate the model parameters (GEE). We used an exchangeable correlation structure to account for within-patient correlation over the two periods. We calculated two-sided p-values and 95% confidence intervals for the changes in rate of primary care visits during the pre-pandemic and pandemic periods. Statistical significance was based on two-sided p-values at the 0.05 level. Analyses were performed in R version 4.1.1.

Results

234,730 patients and 240,044 patients met eligibility criteria for study inclusion in the pre-pandemic and pandemic periods, respectively. Of these, 217,913 patients were eligible and contributed data to both pre-pandemic and pandemic periods. Patients between the ages of 50–64 years made up the largest age category in both periods. The study population composed of slightly more female than male patients. Consistent with past research using UTOPIAN EMR data, patients in the highest income quintile made up the largest percentage of patients [15]. The distributions across age groups, income quintiles, and sex were similar in pre-pandemic and pandemic periods (Table 1).

thumbnail
Table 1. Demographics of eligible study patients in the pre-pandemic and pandemic periods.

https://doi.org/10.1371/journal.pone.0288503.t001

Across all measures, except visits for other drug use, the rate of primary care visits for substance use-related reasons decreased overall from the pre-pandemic to the pandemic period (Table 2; Fig 1). Relative to the pre-pandemic period, there were decreases during the pandemic in the proportion of patients who had a primary care visit for tobacco-use related reasons from 1411 to 419 per 100,000 patients and alcohol-use related reasons from 314 to 274 per 100,000 patients. However, the proportion of patients having a primary care visit during the pandemic compared to the pre-pandemic period for other drug-use related reasons increased from 618 to 717 per 100,000 patients.

thumbnail
Fig 1. Rate of substance-use related primary care visits in pre-pandemic and pandemic periods.

https://doi.org/10.1371/journal.pone.0288503.g001

thumbnail
Table 2. Rate of substance-use related primary care visits in pre-pandemic and pandemic periods.

https://doi.org/10.1371/journal.pone.0288503.t002

After adjustment for age, sex, and neighbourhood income, the pandemic period was associated with lower odds of having a tobacco use-related visit (OR = 0.288, 95% CI: 0.270–0.308) or an alcohol use-related visit (OR = 0.851, 95% CI: 0.780–0.929), but with higher odds of having a visit related to other drug use (OR = 1.150, 95% CI: 1.080–1.225).

With regards to tobacco use, patients who were aged 12–18 years were least likely to have a primary care visit, whereas patients aged 50–64 years were most likely to have a visit. Alcohol-use related visits were most common among patients aged 50–64 years. Males were more likely than females to have all types of substance-use related visits, while patients in the highest income quintile were the least likely to have other drug-use related visits. During the pandemic, sex became a slightly weaker predictor of the risk of other drug-use related visits than it was before the pandemic. There were no significant changes in age-related or income quintile differences in substance-use visits between pre-pandemic and pandemic periods (S1 Table, S1S3 Figs).

Discussion

Although substance use increased during the pandemic [2], the rate of primary care visits for most substance use-related presentations decreased from the pre-pandemic to the pandemic period. Our study found that tobacco-use and alcohol-use related visits decreased during the pandemic by 71% and 13%, while other drug-use related visits increased by 16%. In an earlier study we found that in the first nine and a half months of the pandemic, periodic health exams decreased by 89% while visits for common chronic diseases such as diabetes and hypertension decreased by 25% [12]. Alcohol-use related visits may have decreased as patients may have perceived their alcohol use as being within societal expectations in the context of the pandemic and hence, they may have not actively sought care. Lastly, periodic health exams are often an opportunity to review a patient’s smoking status and alcohol intake: issues which may not otherwise arise during visits for other acute concerns. Hence, the decrease in periodic health exams in the pandemic [11] may have contributed to the decline in smoking and alcohol use visits reported in our study. Contrastingly, other drug-use related visits increased during the pandemic. These other drug-use related visits include treatment of opioid use and stimulant use disorders. The increase in other drug-use related visits noted during the pandemic may reflect the increased opioid use prevalence noted during the pandemic and the requirement for continued primary care visits for prescribing of opioid agonist therapy [24,25].

One of the primary drivers of reduced visits may be the hesitancy of patients to seek health care during the pandemic due to fears of acquiring a COVID-19 infection [26]. Furthermore, at the beginning of the pandemic, there was a shortage of personal protective equipment to allow providers to see patients and many providers were redeployed to COVID-19 care [6]. Altogether, these factors may have contributed to decreases in the number of in-person visits [12,27,28], and increases in the number of telemedicine visits during the pandemic [28]. It is important to note that patients with substance use disorders are more likely to face structural health barriers which results in inequities regarding accessibility to telemedicine services [2931]. In addition, telemedicine may not be optimal for the delivery of preventive care such as smoking cessation. For example, one study indicated that preventive diagnoses made up 25.6% of in-person based care but only 2.7% of telemedicine care during the pandemic [32].

The decrease in rate of primary care visits for alcohol-use and tobacco-use presentations can be juxtaposed with an increase in substance use during the pandemic. An increase in alcohol use and alcohol withdrawal hospital admissions were noted during the pandemic [4,33,34], and a similar increase was seen with smoking and other drug use [3538]. Increased substance use may be used as a coping mechanism for stressors associated with the pandemic [2,37]. The contrast between an increase in substance use prevalence and a decrease in substance-use related primary care visits during the pandemic likely represents an unmet need for this patient population.

The results of our analysis of associations between demographic characteristics and substance-use related visits are consistent with the literature around substance use prevalence. Younger patients were least likely to have substance-use related primary care visits while those that were middle-aged were most likely to have such visits [3941]. Those in the lowest income quintile were most likely to have an other drug-use related visit while those in the highest income quintile were least likely to do so [4244]. Lastly, males were more likely than females to have substance-use related primary care visits [39,40,4551].

Limitations of the study

Our study is limited by the use of service fee codes and diagnostic codes as surrogate measures for primary care use. Furthermore, our study did not evaluate for repeat visits by patients during the study period. Future research may want to consider whether patients with existing substance use issues had increases or decreases in the rate of substance use visits during the pandemic. In addition, the new telemedicine fee codes implemented on March 14, 2020 could be used for remuneration of telemedicine visits related to any family medicine presentation including substance use. Hence, family physicians may have used have these telemedicine fee codes in lieu of substance-use specific service fee codes. However, the use of diagnostic codes as a complimentary measure of primary care use reduces the risk of misclassification bias because both telemedicine and in-person visits require the use of the same OHIP diagnostic codes. Nevertheless, if providers discuss multiple issues including substance use during a single visit, they have a choice in which diagnostic codes to report. Thus, both diagnostic and fee codes are reliant on providers’ self-report. Finally, our study examines the effects of the COVID-19 pandemic up to March 14, 2021 during a period of increased social and medical vulnerability. Future studies may consider examining the long-term trends of substance-use related primary care visits beyond this period.

Conclusion

Our study uses service fee codes and diagnostic codes obtained from primary care visits to evaluate the rate of substance-use related visits in pre-pandemic and pandemic periods. Our results show that substance-use related primary care visits decreased in the first year of the COVID-19 pandemic relative to the year before. Our results, interpreted in an environmental context of increased substance use during the COVID-19 pandemic, likely represent an unmet need for patients with substance use disorders during the pandemic. This study contributes to a growing body of literature on the impact of the COVID-19 pandemic on substance-use related health care and primary care health systems.

Supporting information

S1 Table. Comparison of substance-use related primary care visits in pre-pandemic periods based on age, neighborhood income quintile, and sex.

https://doi.org/10.1371/journal.pone.0288503.s001

(DOCX)

S1 Fig. Rate of substance-use related primary care visits in pre-pandemic and pandemic periods by age categories.

https://doi.org/10.1371/journal.pone.0288503.s002

(DOCX)

S2 Fig. Rate of substance-use related primary care visits in pre-pandemic and pandemic periods by neighborhood income quintiles.

https://doi.org/10.1371/journal.pone.0288503.s003

(DOCX)

S3 Fig. Rate of substance-use related primary care visits in pre-pandemic and pandemic periods by sex.

https://doi.org/10.1371/journal.pone.0288503.s004

(DOCX)

Acknowledgments

The authors would like to acknowledge the biostatistical support provided by Dr. Rahim Moineddin, Mr. Jerry Chang and Ms. Hui Li. The authors would also like to acknowledge the content expert support provided by Dr. Danielle Fine.

References

  1. 1. COVID-19 Mental Disorders Collaborators. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 2021 Nov 6;398(10312):1700–1712. pmid:34634250
  2. 2. Czeisler MÉ, Lane RI, Petrosky E, Wiley JF, Christensen A, Njai R, et al. Mental Health, Substance Use, and Suicidal Ideation During the COVID-19 Pandemic—United States, June 24–30, 2020. MMWR. Morbidity and mortality weekly report 2020;69(32):1049–1057.
  3. 3. Kalkhoran SM, Levy DE, Rigotti NA. Smoking and E-Cigarette Use Among U.S. Adults During the COVID-19 Pandemic. Am J Prev Med 2022;62(3):341–349. pmid:34756629
  4. 4. Pollard MS, Tucker JS, Green HD Jr. Changes in Adult Alcohol Use and Consequences During the COVID-19 Pandemic in the US. JAMA Netw Open 2020;3(9):e2022942. pmid:32990735
  5. 5. Pines JM, Zocchi MS, Black BS, Carlson JN, Celedon P, Moghtaderi A, et al. How emergency department visits for substance use disorders have evolved during the early COVID-19 pandemic. J Subst Abuse Treat 2021;129:108391. pmid:33994360
  6. 6. Holland KM, Jones C, Vivolo-Kantor AM, Idaikkadar N, Zwald M, Hoots B, et al. Trends in US Emergency Department Visits for Mental Health, Overdose, and Violence Outcomes Before and During the COVID-19 Pandemic. JAMA Psychiatry 2021;78(4):372–379. pmid:33533876
  7. 7. Handberry M, Bull-Otterson L, Dai M, Mann NC, Chaney E, Ratto J, et al. Changes in Emergency Medical Services Before and During the COVID-19 Pandemic in the United States, January 2018–December 2020. Clin Infect Dis 2021;73(Supplement_1):S84–S91.
  8. 8. Gryczynski J, Mitchell SG, Peterson TR, Gonzales A, Moseley A, Schwartz RP. The relationship between services delivered and substance use outcomes in New Mexico’s Screening, Brief Intervention, Referral and Treatment (SBIRT) Initiative. Drug Alcohol Depend 2011;118(2):152–157. pmid:21482039
  9. 9. Madras BK, Compton WM, Avula D, Stegbauer T, Stein JB, Clark HW. Screening, brief interventions, referral to treatment (SBIRT) for illicit drug and alcohol use at multiple healthcare sites: comparison at intake and 6 months later. Drug Alcohol Depend 2009 Jan 1;99(1–3):280–295. pmid:18929451
  10. 10. Parthasarathy S, Weisner C, Hu TW, Moore C. Association of outpatient alcohol and drug treatment with health care utilization and cost: revisiting the offset hypothesis. J Stud Alcohol 2001 Jan;62(1):89–97. pmid:11271969
  11. 11. Stephenson E, O’Neill B, Gronsbell J, Butt DA, Crampton N, Ji C, et al. Changes in family medicine visits across sociodemographic groups after the onset of the COVID-19 pandemic in Ontario: a retrospective cohort study. CMAJ 2021;9(2):E651–E658. pmid:34131028
  12. 12. Stephenson E, Butt DA, Gronsbell J, Ji C, O’Neill B, Crampton N, et al. Changes in the top 25 reasons for primary care visits during the COVID-19 pandemic in a high-COVID region of Canada. PloS one 2021 Aug 12,;16(8):e0255992. pmid:34383844
  13. 13. Oesterle TS, Kolla B, Risma CJ, Breitinger SA, Rakocevic DB, Loukianova LL, et al. Substance Use Disorders and Telehealth in the COVID-19 Pandemic Era: A New Outlook. Mayo Clin Proc 2020;95(12):2709–2718. pmid:33276843
  14. 14. Veldhuizen S, Selby P, Wong B, Zawertailo L. Effect of COVID-19 on smoking cessation outcomes in a large primary care treatment programme: an observational study. BMJ Open 2021 Aug 26;11(8):e053075. pmid:34446503
  15. 15. Tu K, Greiver M, Kidd MR, Upshur R, Mullin A, Medeiros H, et al. The University of Toronto Family Medicine Report. Department of Family and Community Medicine 2019 April.
  16. 16. Nielsen K. A timeline of COVID-19 in Ontario. Global News 2020 Apr 24.
  17. 17. Ministry of the Solicitor General. Report on Ontario’s Provincial Emergency from March 17, 2020 to July 24, 2020. 2021; Available at: https://www.ontario.ca/document/report-ontarios-provincial-emergency-march-17-2020-july-24-2020. Accessed 25 April, 2022.
  18. 18. Ontario Health Insurance Plan. Changes to the Schedule of Benefits for Physician Services (Schedule) in response to COVID-19 influenza pandemic effective March 14, 2020. 2020; Available at: https://www.health.gov.on.ca/en/pro/programs/ohip/bulletins/4000/bul4745.aspx. Accessed 25 April, 2022.
  19. 19. Ministry of Health and Long Term Care. Ontario Schedule of Benefits. Government of Ontario 2022 January 24.
  20. 20. Myran DT, Cantor N, Rhodes E, Pugliese M, Hensel J, Taljaard M, et al. Physician Health Care Visits for Mental Health and Substance Use During the COVID-19 Pandemic in Ontario, Canada. JAMA Netw Open 2022;5(1):e2143160. pmid:35061041
  21. 21. Morin KA, Parrotta MD, Eibl JK, Marsh DC. A Retrospective Cohort Study Comparing In-Person and Telemedicine-Based Opioid Agonist Treatment in Ontario, Canada, Using Administrative Health Data. Eur Addict Res 2021;27(4):268–276. pmid:33706309
  22. 22. Graham K, Cheng J, Bernards S, Wells S, Rehm J, Kurdyak P. How Much Do Mental Health and Substance Use/Addiction Affect Use of General Medical Services? Extent of Use, Reason for Use, and Associated Costs. Can J Psychiatry 2017;62(1):48–56. pmid:27543084
  23. 23. Statistics Canada. Postal Code Conversion File Plus (PCCF+) Version 7D, Reference Guide: November 2020 Postal Codes. 2020 November.
  24. 24. Slavova S, Rock P, Bush HM, Quesinberry D, Walsh SL. Signal of increased opioid overdose during COVID-19 from emergency medical services data. Drug Alcohol Depend 2020;214:108176. pmid:32717504
  25. 25. Linas BP, Savinkina A, Barbosa C, Mueller PP, Cerdá M, Keyes K, et al. A clash of epidemics: Impact of the COVID-19 pandemic response on opioid overdose. J Subst Abuse Treat 2021;120:108158. pmid:33298298
  26. 26. Wong L, Hawkins J, Langness S, Murrell K, Iris P, Sammann A. Where Are All the Patients? Addressing Covid-19 Fear to Encourage Sick Patients to Seek Emergency Care. Innovations in Care Delivery 2020 May 14.
  27. 27. Alexander GC, Tajanlangit M, Heyward J, Mansour O, Qato DM, Stafford RS. Use and Content of Primary Care Office-Based vs Telemedicine Care Visits During the COVID-19 Pandemic in the US. JAMA Netw Open 2020;3(10):e2021476. pmid:33006622
  28. 28. Baum A, Kaboli PJ, Schwartz MD. Reduced In-Person and Increased Telehealth Outpatient Visits During the COVID-19 Pandemic. Ann Intern Med 2021;174(1):129–131. pmid:32776780
  29. 29. Shakir M, Wakeman S. Substance Use Disorder and Telemedicine: Opportunity and Concern for the Future. Journal of General Internal Medicine 2021;36(9):2823–2824. pmid:33078301
  30. 30. Kang AW, DeBritz AA, Hoadley A, DelaCuesta C, Walton M, Hurley L, et al. Barriers and poor telephone counseling experiences among patients receiving medication for opioid use disorders. Patient Educ Couns 2022. pmid:35279358
  31. 31. Yang J, Landrum MB, Zhou L, Busch AB. Disparities in outpatient visits for mental health and/or substance use disorders during the COVID surge and partial reopening in Massachusetts. Gen Hosp Psychiatry 2020;67:100–106. pmid:33091782
  32. 32. Cortez C, Mansour O, Qato DM, Stafford RS, Alexander GC. Changes in Short-term, Long-term, and Preventive Care Delivery in US Office-Based and Telemedicine Visits During the COVID-19 Pandemic. JAMA Health Forum 2021;2(7):e211529. pmid:35977211
  33. 33. Sharma RA, Subedi K, Gbadebo BM, Wilson B, Jurkovitz C, Horton T. Alcohol Withdrawal Rates in Hospitalized Patients During the COVID-19 Pandemic. JAMA Netw Open 2021;4(3):e210422. pmid:33656526
  34. 34. Zajacova A, Jehn A, Stackhouse M, Denice P, Ramos H. Changes in health behaviours during early COVID-19 and socio-demographic disparities: a cross-sectional analysis. Canadian Journal of Public Health 2020;111(6):953–962. pmid:33170494
  35. 35. Guignard R, Andler R, Quatremère G, Pasquereau A, du Roscoät E, Arwidson P, et al. Changes in smoking and alcohol consumption during COVID-19-related lockdown: a cross-sectional study in France. Eur J Public Health 2021;31(5):1076–1083. pmid:33826721
  36. 36. Carreras G, Lugo A, Stival C, Amerio A, Odone A, Pacifici R, et al. Impact of COVID-19 lockdown on smoking consumption in a large representative sample of Italian adults. Tob Control 2021:tobaccocontrol-056440.
  37. 37. Henretty K, Padwa H, Treiman K, Gilbert M, Mark TL. Impact of the Coronavirus Pandemic on Substance Use Disorder Treatment: Findings from a Survey of Specialty Providers in California. Substance abuse: research and treatment 2021 Jul;15:117822182110286–11782218211028655. pmid:34285496
  38. 38. CDC/National Center for Health Statistics. Q & A on Latest Monthly Estimates of Drug Overdose Deaths. 2020; Available at: https://www.cdc.gov/nchs/pressroom/podcasts/2020/20201218/20201218.htm. Accessed 27 April, 2022.
  39. 39. Rahilly CR, Farwell WR. Prevalence of smoking in the United States: A focus on age, sex, ethnicity, and geographic patterns. Current Cardiovascular Risk Reports 2007;1(5):379–383.
  40. 40. Li Q, Hsia J, Yang G. Prevalence of smoking in China in 2010. N Engl J Med 2011 Jun 23;364(25):2469–2470.
  41. 41. Grucza RA, Sher KJ, Kerr WC, Krauss MJ, Lui CK, McDowell YE, et al. Trends in Adult Alcohol Use and Binge Drinking in the Early 21st-Century United States: A Meta-Analysis of 6 National Survey Series. Alcohol Clin Exp Re 2018;42(10):1939–1950. pmid:30080258
  42. 42. Karriker-Jaffe K, C. M. Roberts S, Bond J. Income Inequality, Alcohol Use, and Alcohol-Related Problems. Am J Public Health 2013;103(4):649–656. pmid:23237183
  43. 43. Han B, Compton WM, Blanco C, Crane E, Lee J, Jones CM. Prescription Opioid Use, Misuse, and Use Disorders in U.S. Adults: 2015 National Survey on Drug Use and Health. Ann Intern Med 2017;167(5):293–301. pmid:28761945
  44. 44. Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The Prevalence of Hepatitis C Virus Infection in the United States, 1999 through 2002. Ann Intern Med 2006;144(10):705–714. pmid:16702586
  45. 45. CAMH. COVID-19 National Survey Dashboard. 2022; Available at: https://www.camh.ca/en/health-info/mental-health-and-covid-19/covid-19-national-survey. Accessed 27 April, 2022.
  46. 46. Gaffney A, Himmelstein DU, Woolhandler S. Smoking Prevalence during the COVID-19 Pandemic in the United States. Ann Am Thorac Soc 2022 Jan 19. pmid:35044900
  47. 47. Vasilenko SA, Evans-Polce RJ, Lanza ST. Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity. Drug Alcohol Depend 2017;180:260–264. pmid:28938183
  48. 48. Hamdi E, Gawad T, Khoweiled A, Sidrak AE, Amer D, Mamdouh R, et al. Lifetime Prevalence of Alcohol and Substance Use in Egypt: A Community Survey. null 2013;34(2):97–104. pmid:23577901
  49. 49. Grant BF. Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey. J Stud Alcohol 1997;58(5):464–473. pmid:9273910
  50. 50. White AM. Gender Differences in the Epidemiology of Alcohol Use and Related Harms in the United States. Alcohol research: current reviews 2020;40(2):01. pmid:33133878
  51. 51. Warner LA, Kessler RC, Hughes M, Anthony JC, Nelson CB. Prevalence and Correlates of Drug Use and Dependence in the United States: Results from the National Comorbidity Survey. Arch Gen Psychiatry 1995;52(3):219–229.