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1.
Hosp Top ; 98(2): 59-67, 2020.
Article in English | MEDLINE | ID: mdl-32543345

ABSTRACT

A higher drug burden index (DBI) is known to be associated with pre-admission falls leading to hospitalization. We investigated whether a mean difference in DBI (ΔDBI) between the events of in-hospital falls and hospital admission was associated with 30-day readmission in 113 patients ≥50 years who fell during their hospital stays between 2007 and 2014. A greater ΔDBI (≥0.09) was positively associated with higher 30-day readmission rates (incident rate ratio: 2.02; 95% confidence interval: 1.49-2.74). An effort to keep DBI low may thus decrease 30-day readmissions for older in-hospital fallers.


Subject(s)
Accidental Falls/statistics & numerical data , Hospitalization/statistics & numerical data , Patient Readmission/standards , Aged , Aged, 80 and over , Cholinergic Antagonists/adverse effects , Cholinergic Antagonists/therapeutic use , Female , Humans , Hypnotics and Sedatives/adverse effects , Hypnotics and Sedatives/therapeutic use , Logistic Models , Male , Middle Aged , Patient Readmission/statistics & numerical data , Polypharmacy , Retrospective Studies
2.
Nicotine Tob Res ; 22(9): 1515-1523, 2020 08 24.
Article in English | MEDLINE | ID: mdl-31820002

ABSTRACT

INTRODUCTION: This study used data from a randomized controlled trial evaluating the efficacy of motivational interviewing (MI) relative to health education (HE) and brief advice (BA) to encourage quit attempts and cessation in order to determine their relative cost-effectiveness. AIMS AND METHODS: Urban community residents (n = 255) with low desire to quit smoking were randomized to MI, HE, or BA which differed in communication style and/or number of treatment sessions. Incremental cost-effectiveness ratios were used to compare the intensive interventions (MI and HE) to BA for facilitating quit attempts and smoking cessation. Costs were calculated from the perspective of an agency that might engage in program delivery. Sensitivity analysis examined different assumptions for MI training and pharmacotherapy costs. RESULTS: Total intervention delivery time costs per participant for MI, HE, and BA were $46.63, $42.87, and $2.4, respectively. Cost-effectiveness ratios per quit attempt at 24 weeks were $380 for MI, $272 for HE, and $209 for BA. The cost per additional quit attempt for MI and HE relative to BA was $508 and $301, respectively. The cost per additional quit for MI and HE relative to BA was $2030 and $752, respectively. Four separate sensitivity analyses conducted in our study did not change the conclusion the HE had a lower Incremental Cost-Effectiveness Ratio for both quit attempts and cessation. CONCLUSIONS: HE was the most cost-effective of the three types of smoking cessation induction therapies and therefore may be preferable for smokers who are less motivated to quit. Providing valuable cost information in choosing different clinical methods for motivating smokers to quit. IMPLICATIONS: All direct costs and activity-based time costs associated with delivering the intervention were analyzed from the perspective of an agency that may wish to replicate these strategies. A randomized controlled trial evaluating the efficacy of MI relative to HE and BA to encourage quit attempts and cessation determined their relative cost-effectiveness. HE was the most cost-effective of the three types of smoking cessation induction therapies and therefore may be preferable. Despite guideline recommendations, MI may not be the best approach to encourage quit attempts in diverse populations. Rather, a structured, intensive HE intervention might be the most cost-effective alternative.


Subject(s)
Cost-Benefit Analysis , Health Education/economics , Motivational Interviewing/economics , Smokers/psychology , Smoking Cessation/economics , Smoking Cessation/psychology , Smoking/economics , Female , Health Behavior , Health Education/methods , Humans , Male , Middle Aged , Motivational Interviewing/methods , Smoking/epidemiology , Smoking/therapy , Smoking Cessation/methods , Treatment Outcome , United States/epidemiology
3.
South Med J ; 110(8): 540-545, 2017 08.
Article in English | MEDLINE | ID: mdl-28771653

ABSTRACT

OBJECTIVES: Polypharmacy is common among older patients and is linked to increased risk of adverse health outcomes. This study aimed to explore the association of polypharmacy and self-perceived health status (SPHS) among geriatric patients. METHODS: This cross-sectional analysis of longitudinal observational research used national survey data from 2005-2008. Multivariate logistic regressions examined the likelihood of having a good/poor SPHS and polypharmacy. Medical Expenditure Panel Survey data provided by Agency for Healthcare Research and Quality were used in this study. Overall, SPHS was assessed using the Medical Expenditure Panel Survey health and well-being variable. Polypharmacy status was defined when patients were taking ≥5 medications. RESULTS: The study included a total of 102,309,656 weighted individuals reported from the survey of 4775 actual individuals from 2005-2008. Patients' mean age was 74.7 years (standard error ± 0.138), and 58.1% were women, 87.3% were white, 55.2% were married, and 37.3% were from the southern region of the United States. Approximately 69.4% of patients reported polypharmacy. The most prevalent disease reported was hypertension (62.7%). We evaluated demographic and clinical characteristics based on SPHS and polypharmacy status. Overall, 78.09% of seniors reported their SPHS as good, whereas 21.91% reported their SPHS as poor. Among polypharmacy users, 72.52% reported good SPHS and 27.48% reported poor SPHS. Among older adults who were nonpolypharmacy users, 90.8% reported good and 9.02% reported poor SPHS. Logistic regression adjusted for demographic and socioeconomic factors showed that nonpolypharmacy users are approximately three times more likely to report their SPHS as good (odds ratio 2.75; 95% confidence interval 2.12-3.57, P < 0.001). CONCLUSIONS: Nonpolypharmacy users perceived their health status to be better than did polypharmacy users. Interventions to reduce polypharmacy may improve SPHS. One such intervention, medication reconciliation, may have a positive ripple effect on the patient-centered care delivery system.


Subject(s)
Diagnostic Self Evaluation , Health Status , Polypharmacy , Aged , Cross-Sectional Studies , Female , Humans , Male
4.
Drug Healthc Patient Saf ; 7: 43-50, 2015.
Article in English | MEDLINE | ID: mdl-25678818

ABSTRACT

OBJECTIVE: Due to the high risk of life-threatening side effects, nonsteroidal anti-inflammatory drugs (NSAIDs) are not favored for treating persistent nonmalignant pain in the elderly. We report national prescription trends with determinants of NSAIDs prescription for persistent nonmalignant pain among older patients (age 65 and over) in the US outpatient setting. METHODS: A cross-sectional analysis was performed using National Ambulatory Medical Care Survey data. Prescriptions for NSAIDs, opioids, and adjuvant agents were identified using five-digit National Ambulatory Medical Care Survey drug codes. RESULTS: About 89% of the 206,879,848 weighted visits in the US from 2000 to 2007 recorded NSAIDs prescriptions in patients (mean age =75.4 years). Most NSAIDs users had Medicare (75%), and about 25% were prescribed with adjuvant medications considered inappropriate for their age. Compared to men, women were 1.79 times more likely to be prescribed NSAIDs. CONCLUSION: The high percentage of NSAIDs prescription in older patients is alarming. We recommend investigating the appropriateness of the high prevalence of NSAIDs use among older patients reported in our study.

5.
Rheumatology (Oxford) ; 54(7): 1177-85, 2015 Jul.
Article in English | MEDLINE | ID: mdl-25504895

ABSTRACT

OBJECTIVE: Children with JIA have long-term morbidity and require extensive parental assistance. This study aimed to evaluate the impact of having a child with JIA on parents' missed work time, which can lead to decreased work productivity. METHODS: The Truven Health MarketScan Commercial Database (2000-9) was accessed to identify a cohort of parents having a child with newly diagnosed JIA. For comparison, a cohort of parents having no children with JIA was identified and matched with the preceding cohort. Parents' work absences were analysed using descriptive statistics and multivariable regression. Estimates were weighted to be generalizable to the US employer-sponsored insurance population. RESULTS: The study identified 108 parents having a child with newly diagnosed JIA (mean age 42.5 years), representing an estimated 3335 (weighted) parents nationally. Most of them were from the South (45%), male (71%) and employed in the transportation and utilities industry (58%). The demographic characteristics of the control cohort of parents were generally similar. Children with JIA (mean age 10.6 years) represented an estimated 3528 cases nationally. The mean number of reported missed work-time hours was 281.81 (s.e. 40.50) in a 9 year period for parents having a child with JIA compared with other parents 183.36 (28.55). Work-time loss was significantly related to having a child with JIA, sex and geographical region of residence. Parents having a child with JIA were 2.78 times more likely to report work-time loss [odds ratio (OR) 2.78 (95% CI 1.47, 5.26)] than those having no children with JIA. CONCLUSION: Parents having a child with JIA report significant work-time loss compared with parents with no children having JIA, particularly during the year following the child's diagnosis.


Subject(s)
Absenteeism , Arthritis, Juvenile/psychology , Caregivers/psychology , Cost of Illness , Parents/psychology , Workplace/psychology , Adult , Child , Child, Preschool , Cohort Studies , Efficiency, Organizational/statistics & numerical data , Female , Geography , Humans , Infant , Logistic Models , Male , Middle Aged , Psychology , Retrospective Studies , Sex Factors , Time Factors , Workplace/statistics & numerical data
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