Predictors of mental health and substance use disorder treatment use over 3 years among rural adults using stimulants

Individual Trajectories of Specialist Substance Use Disorder and Mental Health Treatment Utilization Among Young Adults With Substance Use Problems: A Cohort Study

OBJECTIVE

The aim of the study was to identify groups of young adults with distinct longitudinal patterns of use of treatment for substance use disorders and mental health (MH) problems and to investigate potential explanatory factors for different patterns of treatment use over time, including sociodemographic factors.

METHODS

The sample consisted of 447 young adults aged 16-29 years who entered long-term residential substance use disorder treatment facilities in Norway from 2011 to 2016. In this study, we obtained data collected by the Norwegian Patient Registry and Statistics Norway. These data were linked with the electronic health record data of the substance use disorder treatment facilities from which the participants were recruited. Growth mixture modeling was performed. The identified groups were further compared using analysis of variance or χ2 test.

RESULTS

Four groups of participants for total treatment use, substance use disorder treatment use, and MH treatment use were identified. Most participants from the overall sample were classified as members of a group characterized by a low and stable pattern of treatment use over time. A group with a high and stable pattern of treatment use was identified in total and MH treatment use. The proportion of participants with higher levels of substance use disorder treatment use at the end of the study period than at the beginning was larger (35%) than in the case of MH treatment use (14.2%). Younger age was associated with a decreasing pattern of MH treatment use and with an increasing pattern of substance use disorder treatment use over time. There were larger proportions of female participants in groups with a stable high use of MH treatment and in groups with an initially increasing trend of substance use disorder treatment use. Findings revealed that most participants across the identified groups were recipients of welfare benefits, had low educational attainment, and were not working.

CONCLUSIONS

Results demonstrated significant variation in trajectories of treatment use among young adults with substance use disorder. Differences in treatment use could indicate differences in symptom severity and complexity. In this study, treatment use was associated with socioeconomic factors, sex, and age. Integrative approaches, including interagency and interdisciplinary collaboration, will often be necessary to sufficiently address the multidimensionality of substance use disorder.

Mapping Problematic Drinking Trends over Time in Urban, Semi-Urban, and Rural Populations

Current alcohol public health policy in Australia is not uniform but is generally focused on restricting access and early prevention of problematic alcohol use. Semi-urban and rural populations are at greater risk of disease and other poor health outcomes due to a variety of factors. Little is known about problematic drinking patterns over time in semi-urban and rural populations. This study aims to assess patterns of problematic drinking defined as both long-term risky and heavy episodic drinking over time by age, sex, and mental health status among urban, semi-urban and rural populations). Four waves (2004 to 2016) of the Australian NDSHS (National Drug Strategy Household Survey) were analyzed to assess problematic drinking of participants over 18 years of age. We used regression models and predictive margins to identify trends in problematic drinking over time based on age, sex, and mental health status. Our results show young adults across all regions, males, and mentally well individuals in urban areas have reductions in the risk of problematic drinking over time. Middle-aged adults across all regions, females, and those with varying mental health presentations in rural areas have some increases in risk of problematic drinking over time. The general conclusion is that targeted alcohol-related public health policy may need to change and focus on females, middle-aged individuals, and those living in rural areas. Programs to support problematic drinking in people with mental health disorders may also need to be a priority.

A review of reported network degree and recruitment characteristics in respondent driven sampling implications for applied researchers and methodologists

OBJECTIVE

Respondent driven sampling (RDS) is an important tool for measuring disease prevalence in populations with no sampling frame. We aim to describe key properties of these samples to guide those using this method and to inform methodological research.

METHODS

In 2019, authors who published respondent driven sampling studies were contacted with a request to share reported degree and network information. Of 59 author groups identified, 15 (25%) agreed to share data, representing 53 distinct study samples containing 36,547 participants across 12 countries and several target populations including migrants, sex workers and men who have sex with men. Distribution of reported network degree was described for each sample and characteristics of recruitment chains, and their relationship to coupons, were reported.

RESULTS

Reported network degree is severely skewed and is best represented by a log normal distribution. For participants connected to more than 15 other people, reported degree is imprecise and frequently rounded to the nearest five or ten. Our results indicate that many samples contain highly connected individuals, who may be connected to at least 1000 other people.

CONCLUSION

Because very large reported degrees are common; we caution against treating these reports as outliers. The imprecise and skewed distribution of the reported degree should be incorporated into future RDS methodological studies to better capture real-world performance. Previous results indicating poor performance of regression estimators using RDS weights may be widely generalizable. Fewer recruitment coupons may be associated with longer recruitment chains.