29 research outputs found

    Impact of self-rated osteoarthritis severity in an employed population: Cross-sectional analysis of data from the national health and wellness survey

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    <p>Abstract</p> <p>Background</p> <p>Although osteoarthritis (OA) often affects older persons, it has a profound effect on individuals actively employed. Despite reports of reduced productivity among workers with OA, data are limited regarding the impact of OA among workers. The objective of this study was to evaluate the impact of self-rated OA severity on quality of life, healthcare resource utilization, productivity and costs in an employed population relative to employed individuals without OA.</p> <p>Methods</p> <p>This cross-sectional analysis used data derived from the 2009 National Health and Wellness Survey (NHWS). Multivariable analyses characterized outcomes and costs (direct medical costs and indirect) among workers (full-time, part-time, or self-employed) ≥ 20 years of age who were diagnosed with OA and who self-rated their OA severity as mild, moderate, or severe relative to workers without OA. Evaluated outcomes included productivity, assessed using the Work Productivity and Impairment (WPAI) scale; health-related quality of life, using the SF-12v2 Health Survey; and healthcare resource utilization.</p> <p>Results</p> <p>4,876 workers reported being diagnosed with OA (45.0% mild, 45.9% moderate, and 9.1% severe); 34,896 workers comprised the non-OA comparator cohort. There was a greater proportion of females in the OA cohort (55.5% vs 45.6%; <it>P </it>< 0.0001) and more individuals in the 40-64 year and ≥ 65 year age ranges (<it>P </it>< 0.0001). As OA severity increased, workers reported more frequent pain, poorer quality of life, greater use of specific healthcare resources (hospitalizations) and reduced productivity. All outcomes indicated a significantly greater burden among workers with OA relative to those without OA (<it>P </it>< 0.0001). Estimated total annual costs per worker were 9,801formildOA,9,801 for mild OA, 14,761 for moderate OA, 22,111forsevereOAcomparedwith22,111 for severe OA compared with 7,901 for workers without OA (<it>P </it>< 0.0001).</p> <p>Conclusions</p> <p>Workers with OA were characterized by significant disease and economic burdens relative to workers without OA that substantially increased with greater self-rated OA severity. Greater levels of OA severity were associated with reductions in quality of life and productivity, and increases in healthcare resource utilization and costs.</p

    Reduced hypoglycemia risk in type 2 diabetes patients switched to/initiating insulin glargine 300 vs 100 U/ml: A european real-world study

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    Introduction: Randomized controlled trials and real-world data from the USA have shown similar glycemic control with insulin glargine 300 U/ml (Gla-300) and insulin glargine 100 U/ml (Gla-100) and reduced hypoglycemia risk with Gla-300. This real-world study describes the efficacy and safety of Gla-300 and Gla-100 in patients with type 2 diabetes (T2D) in France, Spain, and Germany. Methods: This retrospective chart review analysis used anonymized data for adults with T2D switching basal insulin analog (BIA) therapy to Gla-300 or Gla-100, or insulin-naïve patients initiating Gla-300 or Gla-100. Outcomes included change from baseline to 6-month follow-up in glycated hemoglobin A1c (A1C), total and severe hypoglycemia incidences and events, insulin dose, and reasons for BIA choice. Results: Six hundred sixty-five physicians (33.8% Spain, 31.7% France, 34.4% Germany) provided chart data for patients switching to Gla-300 (n = 679) or Gla-100 (n = 429) or initiating Gla-300 (n = 719) or Gla-100 (n = 711). After adjustment for baseline characteristics, A1C reductions from baseline were similar for patients switching to Gla-300 or Gla-100 (- 0.87% vs. - 0.93%; p = 0.326) while those switched to Gla-300 vs. Gla-100 had a significantly greater mean reduction in hypoglycemic events (- 1.29 vs. - 0.81 events during 6 months; p = 0.012). Mean insulin doses after titration were 0.43 ± 0.36 and 0.40 ± 0.28 U/kg in Gla-300 and Gla-100 switchers, respectively. Factors that significantly influenced BIA choice included a lower risk of hypoglycemia (for Gla-300) and physician familiarity (for Gla-100). Outcomes for insulin-naïve patients were broadly similar to those of switchers. Conclusions: In this real-world European study, patients with T2D who switched therapy to Gla-300 or Gla-100 had improved glycemic control and reduced hypoglycemia at 6 months, with significant hypoglycemia advantages with Gla-300

    Exploring behaviors, treatment beliefs, and barriers to oral chemotherapy adherence among adult leukemia patients in a rural outpatient setting

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    Objective: Adherence to oral chemotherapy is essential for patients with chronic myeloid leukemia (CML) and multiple myeloma (MM) to remain in remission. Few studies have used a Likert-type scale to measure medication adherence in CML and MM patients. We applied a validated treatment adherence tool, the ASK-12 (Adherence Starts with Knowledge®) survey, which assessed inconvenience and forgetfulness, treatment beliefs, and medication-taking behaviors recorded on a five-point Likert-type scale at two visits. Results: A medication adherence survey was administered to 42 newly diagnosed or pre-existing CML or MM patients at two outpatient oncology clinics affiliated with an academic medical center in rural eastern North Carolina. Thirty-one patients completed surveys at visit 1 and visit 2 (median 4.5 months apart). Most patients were treated for MM (65%), were non-Hispanic black (68%) and female (58%). Within subscales, mean adherence scores decreased between visits, signaling better adherence. Overall, visit scores were correlated (0.63, p = 0.001). Forgetting to take medication sometimes was the most common reason for non-adherence. Medication costs were not a barrier for MM patients. Greater patient–provider informed decision-making was identified as an opportunity for quality improvement among CML patients. The ASK-12 survey provided a strategy to obtain robust information on medication adherence

    A patient perspective of the impact of medication side effects on adherence: results of a cross-sectional nationwide survey of patients with schizophrenia

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    <p>Abstract</p> <p>Background</p> <p>Antipsychotic medications often have a variety of side effects, however, it is not well understood how the presence of specific side effects correlate with adherence in a real-world setting. The aim of the current study was to examine the relationship between these variables among community-dwelling patients with schizophrenia.</p> <p>Methods</p> <p>Data were analyzed from a 2007-2008 nationwide survey of adults who self-reported a diagnosis of schizophrenia and were currently using an antipsychotic medication (N = 876). The presence of side effects was defined as those in which the patient reported they were at least "somewhat bothered". Adherence was defined as a score of zero on the Morisky Medication Adherence Scale. To assess the relationship between side effects and adherence, individual logistic regression models were fitted for each side effect controlling for patient characteristics. A single logistic regression model assessed the relationship between side effect clusters and adherence. The relationships between adherence and health resource use were also examined.</p> <p>Results</p> <p>A majority of patients reported experiencing at least one side effect due to their medication (86.19%). Only 42.5% reported complete adherence. Most side effects were associated with a significantly reduced likelihood of adherence. When grouped as side effect clusters in a single model, extra pyramidal symptoms (EPS)/agitation (odds ratio (OR) = 0.57, p = 0.0007), sedation/cognition (OR = 0.70, p = 0.033), prolactin/endocrine (OR = 0.69, p = 0.0342), and metabolic side effects (OR = 0.64, p = 0.0079) were all significantly related with lower rates of adherence. Those who reported complete adherence to their medication were significantly less likely to report a hospitalization for a mental health reason (OR = 0.51, p = 0.0006), a hospitalization for a non-mental health reason (OR = 0.43, p = 0.0002), and an emergency room (ER) visit for a mental health reason (OR = 0.60, p = 0.008).</p> <p>Conclusions</p> <p>Among patients with schizophrenia, medication side effects are highly prevalent and significantly associated with medication nonadherence. Nonadherence is significantly associated with increased healthcare resource use. Prevention, identification, and effective management of medication-induced side effects are important to maximize adherence and reduce health resource use in schizophrenia.</p

    Evaluating the health and economic impact of osteoarthritis pain in the workforce: results from the National Health and Wellness Survey

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    <p>Abstract</p> <p>Background</p> <p>There has been increasing recognition that osteoarthritis (OA) affects younger individuals who are still participants in the workforce, but there are only limited data on the contribution of OA pain to work productivity and other outcomes in an employed population. This study evaluated the impact of OA pain on healthcare resource utilization, productivity and costs in employed individuals.</p> <p>Methods</p> <p>Data were derived from the 2009 National Health and Wellness Survey. Univariable and multivariable analyses were used to characterize employed individuals (full-time, part-time, or self-employed) ≥20 years of age who were diagnosed with OA and had arthritis pain in the past month relative to employed individuals not diagnosed with OA or not experiencing arthritis pain in the past month. Work productivity was assessed using the Work Productivity and Activity Impairment (WPAI) questionnaire; health status was assessed using the physical (PCS) and mental component summary (MCS) scores from the SF-12v2 Health Survey and SF-6D health utilities; and healthcare utilization was evaluated by type and number of resources within the past 6 months. Direct and indirect costs were estimated and compared between the two cohorts.</p> <p>Results</p> <p>Individuals with OA pain were less likely to be employed. Relative to workers without OA pain (n = 37,599), the OA pain cohort (n = 2,173) was significantly older (mean age 52.1 ± 11.5 years vs 41.4 ± 13.2 years; <it>P </it>< 0.0001) and with a greater proportion of females (58.2% vs 45.9%; <it>P </it>< 0.0001). OA pain resulted in greater work impairment than among workers without OA pain (34.4% versus 17.8%; <it>P </it>< 0.0001), and was primarily due to presenteeism (impaired activity while at work). Health status, assessed both by the SF-12v2 and the SF-6D was significantly poorer among workers with OA pain (<it>P </it>< 0.0001), and healthcare resource utilization was significantly higher (<it>P </it>< 0.0001) than workers without OA pain. Total costs were higher in the OA pain cohort (15,047versus15,047 versus 8,175; <it>P </it>< 0.0001), driven by indirect costs that accounted for approximately 75% of total costs.</p> <p>Conclusions</p> <p>A substantial proportion of workers suffer from OA pain. After controlling for confounders, the impact of OA pain was significant, resulting in lower productivity and higher costs.</p
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