I Am Your Smartphone and I Know You Are About to Smoke: The Application of Mobile Sensing and Computing Approaches to Smoking Research and Treatment.
I Am Your Smartphone and I Know You Are About to Smoke: The Application of Mobile Sensing and Computing Approaches to Smoking Research and Treatment.
Nicotine Tob Res. 2013 May 23;
McClernon FJ, Roy Choudhury R
Much is known about the immediate and predictive antecedents of smoking lapse, which include situations (e.g., presence of other smokers), activities (e.g., alcohol consumption), and contexts (e.g., outside). This commentary suggests smartphone-based systems could be used to infer these predictive antecedents in real time and provide the smoker with just-in-time intervention. The smartphone of today is equipped with an array of sensors, including GPS, cameras, light sensors, barometers, accelerometers, and so forth, that provide information regarding physical location, human movement, ambient sounds, and visual imagery. We propose that libraries of algorithms to infer these antecedents can be developed and then incorporated into diverse mobile research and personalized treatment applications. While a number of challenges to the development and implementation of such applications are recognized, our field benefits from a database of known antecedents to a problem behavior, and further research and development in this exciting area are warranted. HubMed – addiction
Family burden with substance dependence: a study from India.
Indian J Med Res. 2013 Apr; 137(4): 704-711
Mattoo SK, Nebhinani N, Kumar BA, Basu D, Kulhara P
Background & objectives: A substance dependent person in the family affects almost all aspects of family life. This leads to problems, difficulties or adverse events which impact the lives of family members and causes enormous burden on family caregivers. The present study aimed to assess the pattern of burden borne by the family caregivers of men with alcohol and opioid dependence. Methods: A cross-sectional study was conducted with ICD-10 diagnosed substance dependence subjects and their family caregivers attending a de-addiction centre at a multispecialty teaching hospital in north India. Family Burden Interview Schedule was used to assess the pattern of burden borne by the family caregivers of 120 men with alcohol and/or opioid dependence. Results: Compared to opioid and alcohol+opioid dependence groups, more often the alcohol dependence group was older, married, currently working, having a higher income and with the wife as a caregiver. Family burden was moderate or severe in 95-100 per cent cases in all three groups and more for ‘disruption of family routine’, ‘financial burden’, ‘disruption of family interactions’ and ‘disruption of family leisure’. Family burden was associated with low income and rural location. It was associated neither with age, education or duration of dependence of the patients, nor with family size, type of caregiver or caregiver’s education and occupation. Interpretation & conclusions: Almost all (95-100%) caregivers reported a moderate or severe burden, which indicates the gravity of the situation and the need for further work in this area. HubMed – addiction
Translation of alcohol screening and brief intervention guidelines to pediatric trauma centers.
J Trauma Acute Care Surg. 2013 May 22;
Mello MJ, Bromberg J, Baird J, Nirenberg T, Chun T, Lee C, Linakis JG
BACKGROUND: As part of the American College of Surgeons verification to be a Level 1 trauma center, centers are required to have the capacity to identify trauma patients with risky alcohol use and provide an intervention. Despite supporting scientific evidence and national policy statements encouraging alcohol Screening, Brief Intervention and Referral to Treatment (SBIRT), barriers still exist, which prevent the integration of SBIRT into clinical care. Study objectives of this multisite translational research study were to identify best practices for integrating SBIRT services into routine care for pediatric trauma patients, to measure changes in practice with adoption and implementation of a SBIRT policy, and to define barriers and opportunities for adoption and implementation of SBIRT services at pediatric trauma centers. METHODS: This translational research study was conducted at seven US pediatric trauma centers during a 3-year period. Changes in SBIRT practice were measured through self-report and medical record review at three different study phases, namely, adoption, implementation, and maintenance phases. RESULTS: According to medical record review, at baseline, 11% of eligible patients were screened and received a brief intervention (if necessary) across all sites. After completion of the SBIRT technical assistance activities, all seven participating trauma centers had effectively developed, adopted, and implemented SBIRT policies for injured adolescent inpatients. Furthermore, across all sites, 73% of eligible patients received SBIRT services after both the implementation and maintenance phases. Opportunities and barriers for successful integration were identified. CONCLUSION: This model may serve as method for translating SBIRT services into practice within pediatric trauma centers. HubMed – addiction