Quantitative Sample Size
Collectively, the two outpatient diabetes clinics provide services to more than 300 young adults (18–24 years of age) living with diabetes per year. All potentially eligible young adults will be recruited to accrue 150 participants; this sample size represents 50% of the accessible population and is adequate to address the descriptive purpose of this study.
Measurements
A self-administered online survey will be used. The self-administered online survey consists of two sections. The first section focuses on the socio-demographic characteristics of participants. Standard questions pertaining to demographic characteristics are used to assess age (at visit and diagnosis of diabetes), sex, race, and level of education. The second section of the online survey focuses on clinical characteristics and uses standard questions and psychometrically sound instruments to assess cannabis use (type, frequency of use, duration, primary form, and method of ingestion of cannabis) patterns, motives for using cannabis, and diabetes-self management behaviors.
Specific to the clinical characteristics, standard questions will include those on type of diabetes, diabetes duration, and current diabetes treatment plan (i.e., insulin, metformin). Participants are also asked about adverse events that resulted in the need for healthcare service utilization and if they thought the adverse events resulted from cannabis consumption. More specifically, the following data will be collected: (1) number and frequency of emergency room visits; (2) number and frequency of hospital admissions; (3) type of complication within the past 3–6 months, such as hypoglycemic or hyperglycemic episodes; diabetic ketoacidosis; cardiovascular-related (i.e., high blood pressure, fast heart rate), respiratory-related (i.e., bronchitis, emphysema, breathing issues), and mental health-related (i.e., anxiety, depression, panic attacks, and exacerbation of underlying psychiatric disorders) complications.
Specific to cannabis consumption and diabetes self-care management, three psychometrically sound instruments will be used: the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU), the Marijuana Motives Measure (MMM), and the Diabetes Self-Management Questionnaire (DSMQ). These are described below in detail.
Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory
The DFAQ-CU is a self-report instrument that comprises of 33 items anchored on a Likert-type scale. The instrument measures cannabis usage across six factors: (1) daily sessions; (2) frequency; (3) age of onset; (4) quantity of cannabis consumed; (5) quantity of cannabis concentrates consumed; and (6) quantity of cannabis edibles consumed [28]. The subscales scores are computed by summing the respective items’ scores, with higher scores reflecting more cannabis usage/consumption. The items have demonstrated good internal consistency reliability (α = 0.76–0.95) and good convergent, divergent, and predictive validity [28]. To our knowledge, this data collection tool has not been used in the context of Canada because of the limited research being conducted in this area; however, this validated instrument will be pilot tested.
Marijuana Motives Measure
The MMM is a self-report instrument that comprises of 25 items anchored on a 5-point Likert-type scale, with response options ranging from 1 “almost never/never” to 5 “almost always/always”. The MMM measures five distinct motives for cannabis usage: (1) coping (i.e., to forget one’s worries); (2) enhancement (i.e., because it is fun); (3) social motives (i.e., it helps one enjoy social gatherings); (4) conformity (i.e., peer pressure); and (5) expansion (i.e., to explore myself) [6]. The score for each motive is computed as the mean of the respective items’ scores; with higher scores reflecting stronger endorsement of a particular motive for cannabis usage [6]. The items have demonstrated good internal consistency reliability (e.g., α = 0.85) [3]. To our knowledge, this data collection tool has not been used in the context of Canada because of the limited research being conducted in this area; however, this validated instrument will be pilot tested.
Diabetes Self-Management Questionnaire
The DSMQ is a self-report instrument that comprises of 16 items anchored on a 4-point Likert scale, with responses ranging from 0 “does not apply to me” to 3 “applies to me very much” [29]. The DSMQ assesses self-care behaviors associated with glycemic control through four subscales: (1) Glucose management (GM); (2) Dietary Control (DC); (3) Physical Activity (PA); and (4) Health-Care Use (HU) [29]. The DSMQ consists of seven positively worded items and nine negatively worded items [29]. The total score is computed after reverse coding negatively worded items, with higher scores reflective of effective self-care behavior [29]. The DSMQ has demonstrated good internal consistency reliability (e.g., α = 0.77–0.84) and validity [29, 30]. The DSMQ is a validated data collection tool that has been used to explore and examine diabetes self-management behaviors in the Canadian population and context.
Quantitative Data Collection and Recruitment Procedures
A convenience sampling method will be employed. Potential participants will be recruited during their routine visits for diabetes care at the respective clinics. Specifically, upon completion of the clinical visit, potential participants will be asked (by their respective HCPs) if they are interested in taking part in the study (using a standardized recruitment script). If potential participants express an interest, they will be provided with a study flyer that will contain additional information about the study along with a URL link that would direct them to a letter of information/consent form as well as the online survey. In addition to the study flyer, study posters (which contain tear-off tabs) will be posted throughout the respective clinics.
Quantitative Data Analysis
Participants’ responses will be entered into the Statistical Package for Social Sciences version 23.0 (SPSS 23.0; IBM Corp., Armonk, NY, USA). Descriptive and inferential statistics will be used to analyze the quantitative data. More specifically, descriptive statistical analysis (i.e., measure of central tendency and standard deviations) will be conducted to describe the sample with regards to personal and clinical characteristics, utilization of healthcare services, as well as frequency and duration of recreational cannabis consumption. Where appropriate, inferential statistics (i.e., t-test, Chi-square, and/or regression analysis) will be employed to examine the outcomes of interest. Further, the analysis will be done in subgroups for Type 1 and Type 2 Diabetes separately because the two groups may have different baseline psycho-social profiles.