scholarly journals Utilization of Screening Mammograms in the Medicare Population Before and After the Affordable Care Act Implementation

2018 ◽  
Vol 32 (1-2) ◽  
pp. 25-32
Author(s):  
Laura M. Bozzi ◽  
Bruce Stuart ◽  
Eberechukwu Onukwugha ◽  
Sarah E. Tom
Keyword(s):  
Affordable Care Act ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Future Research ◽  
Fee For Service ◽  
Cross Sectional ◽  
Before And After ◽  
The Affordable Care Act ◽  
Screening Mammograms ◽  
Adjusted Logistic Regression

Objective: This study examined screening mammograms in women aged 65 to 74 years and 75+ years before and after the Affordable Care Act (ACA) implementation. Method: This repeated cross-sectional study of community-dwelling women age 65+ years without a history of breast cancer or mastectomy utilized the Medicare Current Beneficiary Survey and Medicare fee-for-service claims data from 2001 to 2013. We used covariate-adjusted logistic regression with generalized estimating equations, stratified by age group. Results: The adjusted odds of screening mammograms in women aged 65-74 ( n = 742) and 75+ years ( n = 681) were lower in 2013 (odds ratio [OR]: 0.75, 95% confidence interval [CI]: [0.67, 0.83]; OR: 0.67, 95% CI: [0.60, 0.75], respectively) than the odds of screening mammograms in 2001. Discussion: Annual screening mammograms decreased in women aged 65 to 74 years and 75+ years, despite increased access from the ACA implementation. Future research as to why women are no longer receiving screening mammograms, such as changes in physician specialty guidelines, is warranted.

scholarly journals Impact of the “Stoptober” Smoking Cessation Campaign in England From 2012 to 2017: A Quasiexperimental Repeat Cross-Sectional Study

2019 ◽  
Vol 22 (9) ◽  
pp. 1453-1459 ◽  
Author(s):  
Mirte A G Kuipers ◽  
Robert West ◽  
Emma V Beard ◽  
Jamie Brown
Keyword(s):  
Smoking Cessation ◽  
Cross Sectional Study ◽  
Vulnerable Groups ◽  
Future Research ◽  
Cross Sectional ◽  
Quit Attempt ◽  
Quit Attempts ◽  
The Difference ◽  
Adjusted Logistic Regression

Abstract Introduction Since 2012, England has an annual “Stoptober” campaign for collective smoking cessation. Our aim was to assess (1) overall impact of the Stoptober campaign on quit attempts over its first 6 years, (2) consistency of impact over the campaign years, and (3) the role of the campaign budget. Methods We used data of 51 399 adult smokers and ex-smokers in 132 repeat cross-sectional monthly surveys in England, 2007–2017. In a quasiexperimental design, adjusted logistic regression analyses compared past-month quit attempt rate between (1) October and other months in the year, between 2007–2011 and 2012–2017; (2) October and other months, across years 2012–2017; and (3) October and other months, between high-budget (2012–2015) and low-budget Stoptober campaigns (2016–2017). Bayes factors (BF) differentiated insensitive data and absence of an effect. Results (1) In 2012–2017, quit attempts were more prevalent in October versus other months (odds ratio [OR]: 1.24, 95% confidence interval [CI]: 1.00 to 1.53), whereas similar in 2007–2011 (OR: 0.95, 95% CI: 0.76 to 1.18; BF = 0.2); data were somewhat insensitive but supported this difference (OR: 1.30, 95% CI: 0.97 to 1.75; BF = 2.1). (2) In 2012–2017, quit attempt prevalence ranged from 3.1% to 8.5% in October and 5.0% to 7.3% in other months. The difference between October and other months was large in 2012 (absolute unadjusted difference of 3.3%; OR: 1.92, 95% CI: 1.23 to 2.98) and 2015 (3.1%; OR: 1.84, 95% CI: 1.14 to 2.95), but small in 2013–2014 and 2016–2017 (0.36 < BF < 1.02). (3) Data were somewhat insensitive but supported interaction with campaign budget (OR: 1.50, 95% CI: 0.92 to 2.44; BF = 2.2). Discussion In 2012–2017, there appears to have been an increase in past-month quit attempts during October in England. The increase was inconsistent across Stoptober campaigns and appears to have been greater when the campaign budget was higher. Implications Over the first 6 years of Stoptober campaigns, there appears to have been an overall increase in past-month quit attempts during October in England, and the data imply that a sufficiently high budget contributes to greater impact of the Stoptober campaign. These findings encourage the further spread of the Stoptober campaign to other countries. Future research should clarify how increased quit attempts as a consequence of Stoptober translate into quit success and which of Stoptober’s ingredients were most important in increasing quit attempts, especially among vulnerable groups.

Impact of bladder cancer (BC) on health-related quality of life (HRQL) in 1,476 older Americans.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 9549-9549
Author(s):  
Chunkit Fung ◽  
Chintan Pandya ◽  
Katia Noyes ◽  
Emelian Scosyrev ◽  
Deepak M. Sahasrabudhe ◽  
...  
Keyword(s):  
Smoking Status ◽  
Cross Sectional Study ◽  
Older Age ◽  
Future Research ◽  
Cross Sectional ◽  
Older Americans ◽  
Comorbidity Score ◽  
Before And After ◽  
Related Quality ◽  
The Impact

9549 Background: The impact of BC on HRQL is poorly understood. To our knowledge, this is the first and largest cross-sectional study that compares HRQL of patients before and after BC diagnosis (DX). Methods: Our sample included 1,476 BC patients (≥ age 65) within the SEER-Medicare Health Outcomes Survey linkage database (1998-2007). We assessed differences in HRQL as measured by SF-36 physical (PCS) and mental (MCS) summary scores in patients who had a survey >1 yr before BC DX (n=620) and those who had a survey after BC DX (n=856). We compared groups by year from BC DX using regression analyses and results were adjusted for cancer stage, race, gender, age at BC DX, marital status, education, income, smoking status, activity of daily living (ADLs), and non-cancer comorbidities. Results: Patients who had a survey after BC DX were diagnosed with BC at an older age than those with a survey before BC DX (55.9% at age ≥75 yr vs. 36.8%; P<0.01). Other baseline demographic and socioeconomic characteristics were similar. Baseline HRQL were poor in patients before DX (PCS mean=40.1; MCS mean=51.1) with 50.6% and 31.9% of them having comorbidity score ≥2 and impairment of ≥1 ADLs, respectively. After BC DX, significant decreases in PCS (-2.7; 95% CI -3.8,-1.7) and MCS (-1.4; 95% CI -2.6, -0.3) were observed, with HRQL being lowest in those who had BC DX within 1 yr (PCS mean= 36.6; MCS mean=49.7). Declines in PCS during the <1, 1-3, 3-5, 5-10, and 10+ yr periods after BC DX compared to before BC DX were -3.8 (P<0.01), -2.5 (P<0.01), -2.2 (P=0.01), -1.1 (P=0.19) and -0.8 (P=0.57) whereas decreases in MCS were -2.0 (P=0.01), -2.2 (P<0.01), -1.2 (P=0.21), -0.1 (P=0.92), -0.8 (P=0.62) respectively. More advanced BC, lower educational level, higher comorbidity score, and impaired ADLs were significantly associated with both worse PCS and MCS after BC DX (P<0.05). Lower income and older age at BC DX showed significant association with low PCS (P<0.05). Conclusions: Older BC patients are a vulnerable population with poor baseline HRQL. HRQL of patients after BC DX is significantly worse than HRQL of patients before DX, possibly due to therapy and/or disease progression. Future research that evaluates interventions to improve HRQL in older patients with BC is critical.

scholarly journals 317Neighbourhood built and social environmental attributes associated with frailty among mid-to-older aged Australian adults

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Takumi Abe ◽  
Takemi Sugiyama ◽  
Alison Carver ◽  
Gavin Turrell
Keyword(s):  
Economic Status ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Future Research ◽  
Land Area ◽  
Cross Sectional ◽  
Environmental Attributes ◽  
Social Environmental ◽  
Intersection Density

Abstract Background Little is known about to what extent neighbourhood built and social environmental factors are associated with frailty among community-dwelling mid-to-older aged adults. Methods Participants of our cross-sectional study were adults aged 50-74 years residing in Brisbane, Australia. Frailty was assessed by a frailty index (FI), consisting of 32 items. Five built environmental attributes (population density, density of 4-way intersections, area of retail land, area of park land, and area of land for recreational facilities) and three social environmental attributes (safety, cohesion, and socio-economic status [SES]) were included. We performed multilevel logistic regression analysis to examine the associations between those attributes and frailty. Results Of 4,176 eligible participants (56.8% women), we found that 437 (10.5%) were frail (FI ≥ 0.35). After adjusting for potential confounders, one standard deviation (SD) increment in intersection density and retail land area was associated 26% (95%CI: 1.12, 1.41) and 18% (95%CI: 1.07, 1.30) higher odds of being frail, respectively. One SD increment in safety and area-level SES was associated with 24% (95%CI: 0.69, 0.84) and 30% (95%CI: 0.62, 0.79) lower odds of being frail. Conclusions This study found that mid-to-older aged adults with frailty are more likely to live in areas with higher intersection density, greater area of retail land, poorer safety, and higher levels of deprivation. Key messages There is spatial heterogeneity in the distribution of frailty. Future research should investigate behavioural mechanism for the distribution.

scholarly journals Assessment of Knowledge, Practice and Attitude about Biomedical Waste Management among Healthcare Professionals during COVID-19 Crises in Al-Ahsa

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 747
Author(s):  
Sahbanathul Missiriya Jalal ◽  
Fahima Akhter ◽  
Amal Ismael Abdelhafez ◽  
Ahmed Mansour Alrajeh
Keyword(s):  
Work Experience ◽  
Healthcare Professionals ◽  
Cross Sectional Study ◽  
Demographic Variables ◽  
Cross Sectional ◽  
Biomedical Waste ◽  
Respiratory Therapists ◽  
Global Pandemic ◽  
Before And After ◽  
Knowledge Practice

Biomedical waste (BMW) management is an essential practice of healthcare professionals (HCPs) for preventing health and also environmental hazards. Coronavirus disease (COVID-19) has become a global pandemic, posing significant challenges for healthcare sectors. A cross-sectional study was performed to assess the knowledge, practice, and attitude on BMW management among HCPs when taking care of patients with COVID-19 and associated with demographic variables. From Al-Ahsa healthcare sectors, 256 HCPs were selected randomly, of which 105 (41%) had excellent knowledge, 87 (34%) had good knowledge, and 64 (25%) had poor knowledge with a mean score of 13.1 ± 3.6. A higher mean score was (14.4 ± 3.2) obtained by physicians, and (13.6 ± 3.8) nurses than the other HCPs. Regarding practice, 72 (28.1%) HCPs used and discarded PPE while handling biomedical wastes. Additionally, 88 (34.4%) followed proper hand hygiene before and after each procedure and whenever needed. Physicians, nurses, and respiratory therapists had a more favorable attitude than other HCPs. There was a statistically significant association found among knowledge level and educational qualification (p < 0.0001), gender (p < 0.001), and work experience (p < 0.05). Emphasis is needed to train all HCPs regarding proper BMW management during this pandemic to prevent infection transmission.

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