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Neighborhood linking social capital as a predictor of psychiatric medication prescription in the elderly: a Swedish national cohort study.

ABSTRACT: OBJECTIVES:Little is known about the association between neighborhood linking social capital and psychiatric medication in the elderly. The present study analyzes whether there is an association between linking social capital (a theoretical concept describing the amount of trust between individuals and societal institutions) and prescription of antipsychotics, anxiolytics, hypnotics/sedatives, antidepressants, or anti-dementia drugs. DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS:The entire Swedish population aged 65+, a total of 1,292,816 individuals, were followed from 1 July 2005 until first prescription of psychiatric medication, death, emigration, or the end of the study on 31 December 2010. Small geographic units were used to define neighborhoods. The definition of linking social capital was based on mean voting participation in each neighborhood unit, categorized in three groups. Multilevel logistic regression was used to estimate odds ratios (ORs) and between-neighborhood variance in three different models. RESULTS:There was an inverse association between the level of linking social capital and prescription of psychiatric medications (except for anti-dementia drugs). The associations decreased, but remained significant, after accounting for age, sex, family income, marital status, country of birth, and education level (except for antidepressants). The OR for prescription of antipsychotics in the crude model was 1.65 (95% CI 1.53-1.78) and decreased, but remained significant (OR = 1.26; 95% CI 1.17-1.35), after adjustment for the individual-level sociodemographic variables. CONCLUSIONS:Decision-makers should take into account the potentially negative effect of linking social capital on psychiatric disorders when planning sites of primary care centers and psychiatric clinics, as well as other kinds of community support for elderly patients with such disorders.

SUBMITTER: Sundquist J

PROVIDER: S-EPMC4085183 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Neighborhood linking social capital as a predictor of psychiatric medication prescription in the elderly: a Swedish national cohort study.

Sundquist Jan J Hamano Tsuyoshi T Li Xinjun X Kawakami Naomi N Shiwaku Kuninori K Sundquist Kristina K

Journal of psychiatric research 20140501

<h4>Objectives</h4>Little is known about the association between neighborhood linking social capital and psychiatric medication in the elderly. The present study analyzes whether there is an association between linking social capital (a theoretical concept describing the amount of trust between individuals and societal institutions) and prescription of antipsychotics, anxiolytics, hypnotics/sedatives, antidepressants, or anti-dementia drugs.<h4>Design, setting, participants and measurements</h4> ...[more]

PMID: 24831853

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Project description:BACKGROUND:Elderly patients with chronic kidney disease (CKD) frequently present comorbidities that put them at risk of polypharmacy and medication-related problems. This study aims to describe the overall medication profile of patients aged ?75?years with advanced CKD from a multicenter French study and specifically the renally (RIMs) and potentially inappropriate-for-the-elderly medications (PIMs) that they take. METHODS:This is a cross-sectional analysis of medication profiles of individuals aged ?75?years with eGFR <?20?ml/min/1.73?m2 followed by a nephrologist, who collected their active prescriptions at the study inclusion visit. Medication profiles were first analyzed according to route of administration, therapeutic classification. Second, patients were classified according to their risk of potential medication-related problems, based on whether the prescription was a RIM or a PIM. RIMs and PIMs have been defined according to renal appropriateness guidelines and to Beer's criteria in the elderly. RIMs were subclassified by 4 types of category: (a) contraindication; (b) dose modification is recommended based on creatinine clearance (CrCl); (c) dose modification based on CrCl is not recommended but a maximum daily dose is mentioned, (d) no specific recommendations based on CrCl: "use with caution", "avoid in severe impairment", "careful monitoring of dose is required" "reduce the dose". RESULTS:We collected 5196 individual medication prescriptions for 556 patients, for a median of 9 daily medications [7-11]. Antihypertensive agents, antithrombotics, and antianemics were the classes most frequently prescribed. Moreover, 77.0% of patients had at least 1 medication classified as a RIM. They accounted 31.3% of the drugs prescribed and 9.25% was contraindicated drugs. At least 1 PIM was taken by 57.6 and 45.5% of patients had at least one medication classified as RIM and PIM. The prescriptions most frequently requiring reassessment due to potential adverse effects were for proton pump inhibitors and allopurinol. The PIMs for which deprescription is especially important in this population are rilmenidine, long-term benzodiazepines, and anticholinergic drugs such as hydroxyzine. CONCLUSION:We showed potential drug-related problems in elderly patients with advanced CKD. Healthcare providers must reassess each medication prescribed for this population, particularly the specific medications identified here. TRIAL REGISTRATION:NCT02910908.

Project description:Importance:Cigarette smoking is the leading cause of preventable disease and death in the United States. When used separately or in combination, smoking cessation counseling and cessation medications have been associated with increased cessation rates. Objectives:To present trends in self-reported receipt of physician advice to quit smoking and in use of prescription smoking cessation medication along with their associated expenditures among a nationally representative sample of active adult smokers in the United States. Design, Setting, and Participants:This repeated cross-sectional study of US adults aged 18 years or older was conducted from July 5, 2018, through August 15, 2018. Data were collected between January 1, 2006, and December 31, 2015, from the Medical Expenditure Panel Survey, an annual US survey of individuals and families, health care personnel, and employers. Participants (n = 29 106) were noninstitutionalized civilians who were randomly drawn from the respondents of the previous year's National Health Interview Survey. Multivariable logistic regression models were used to examine the associations between sociodemographic factors and receipt of physician cessation advice and use of cessation prescription medication. A 2-part econometric model was used to assess health care expenditures. Main Outcomes and Measures:Trends in self-reported receipt of physician advice to quit and uptake of prescription smoking cessation medications with associated total and out-of-pocket expenditures. Results:The study sample consisted of 29 106 participants, with a mean (SD) age of 57 (10) years and a composition of 13 670 women (47.0%). The results were weighted to provide estimates for 31.2 million active adult cigarette smokers. The proportion of smokers who reported receiving physician advice to quit increased from 60.2% (95% CI, 58.5%-62.0%) in 2006 to 2007 to 64.9% (95% CI, 62.8%-66.9%) in 2014 to 2015, with a P for trend = .001. The odds of receiving physician cessation advice was statistically significantly higher in women (odds ratio [OR], 1.50; 95% CI, 1.39-1.59) and lower among uninsured participants (OR, 0.58; 95% CI, 0.52-0.65). Overall, prescription smoking cessation medication use decreased with a corresponding reduction in total expenditures from $146 million (out-of-pocket cost, $46 million) in 2006 to 2007 to $73 million (out-of-pocket cost, $9 million) in 2014 to 2015. Male (odds ratio [OR], 0.78; 95% CI, 0.66-0.91), uninsured (OR, 0.58; 95% CI, 0.41-0.83), and racial/ethnic minority (African American: OR, 0.51 [95% CI, 0.38-0.69]; Asian: OR, 0.31 [95% CI, 0.10-0.93]; Hispanic: OR, 0.53 [95% CI, 0.36-0.78]) participants were less likely to use prescription smoking cessation medications. Conclusions and Relevance:The lower rates of delivery of physician advice to quit smoking and the lower uptake of known prescription smoking cessation medications among men, younger adults, uninsured individuals, racial/ethnic minority groups, and those without smoking-associated comorbidities may be associated with the higher smoking rates among these subgroups despite an all-time low prevalence of smoking in the United States; this finding calls for a more targeted implementation of smoking cessation guidelines.

Dataset Information

Neighborhood linking social capital as a predictor of psychiatric medication prescription in the elderly: a Swedish national cohort study.

Publications

Neighborhood linking social capital as a predictor of psychiatric medication prescription in the elderly: a Swedish national cohort study.

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