Publications by authors named "John J Han"

Article Synopsis
  • - People with chronic pain participated in a 12-month study using wearable health technology (WHT) alongside an expert pain management program, potentially improving key health outcomes.
  • - Out of 105 patients using WHT, there were significant reductions in depression scores and morphine usage compared to control groups, indicating some positive effects of WHT, though results were similar for both groups.
  • - Participants showed a strong commitment to using WHT despite their chronic pain challenges, suggesting the need for more research to explore its benefits further in managing chronic pain and related issues.
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Article Synopsis
  • Prescription opioids are often used to help people with severe pain, but some might end up having problems with using them too much (that's called opioid use disorder or OUD).
  • Researchers are studying how different health and genetic factors influence who might develop OUD, using a large collection of health data.
  • By understanding these factors better, doctors can find patients at risk and suggest other types of treatments that don't involve opioids.
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Objective: Chronic pain is a highly prevalent and costly condition with few proven treatment options. Since 2014, Geisinger's Department of Pain Medicine has implemented the Multidisciplinary Pain Program (MPP), which consists of a 3-day educational seminar followed by 12 months of comprehensive care. This study examines the impact of MPP on care utilization and cost between 2014 and 2016.

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Objective: To describe the longitudinal pattern of health care utilization and cost of care before and after opioid overdose (OD) over a 10-year period using health plan claims data.

Methods: Patients who had experienced opioid ODs between April 2005 and March 2015 were identified from Geisinger Health System's electronic health records. Among these patients, a subgroup of patients who were Geisinger Health Plan (GHP) members at any point between January 2006 and December 2015 were also identified.

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Objective: Opioid overdoses (ODs) have been increasing, and harm reduction efforts are a priority. The success of these efforts will be dependent on the identification of at-risk patients and improved access to the antidote naloxone. Therefore, to identify access to naloxone and factors associated with negative health outcomes, we conducted a retrospective study of patients with OD to identify those at highest risk of adverse outcomes and to assess the use of naloxone.

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Aims: Previously, we estimated the prevalence and risk factors for prescription opioid-use disorder among outpatients on opioid therapy using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 and DSM-4 criteria. However, at the time, the DSM-5 criteria were not finalized. In the current study, we analyzed these data using the final DSM-5 criteria and compared these results.

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The authors estimated the prevalence of lifetime prescription opioid-use disorder among outpatients on opioid therapy using criteria from both versions 4 and 5 of the Diagnostic and Statistical Manual of Mental Disorders (DSM). Using electronic records from a large health care system, a random sample of outpatients undergoing long-term opioid therapy for non-cancer pain was identified and 705 participants completed diagnostic interviews. The prevalence of lifetime DSM-5 opioid-use disorder among these patients was 34.

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A locus on chromosome 15q25.1 previously implicated in nicotine, alcohol, and cocaine dependence, smoking, and lung cancer encodes subunits of the nicotinic acetylcholine receptor (nAChR) expressed in the mesolimbic system and thought to mediate substance dependence. Opioid dependence severity (ODS), nicotine dependence severity (NDS), smoking status and quantity, and the number of attempts to quit were assessed using questionnaire instruments in 505 subjects who were prescribed opioid medications for chronic pain in outpatient practice sites.

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Aims: Our study sought to assess the prevalence of and risk factors for opioid drug dependence among out-patients on long-term opioid therapy in a large health-care system.

Methods: Using electronic health records, we identified out-patients receiving 4+ physician orders for opioid therapy in the past 12 months for non-cancer pain within a large US health-care system. We completed diagnostic interviews with 705 of these patients to identify opioid use disorders and assess risk factors.

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