Literature DB >> 24899101

Osteoporosis treatment disparities: a 6-year aggregate analysis from national survey data.

T D Cunningham1, B S Di Pace, J Ullal.   

Abstract

UNLABELLED: We studied factors to determine the receipt of osteoporosis treatment in individuals with osteoporosis. Treatment was associated with age, gender, race, body mass index (BMI), family history, arthritis and thyroid problems, daily glucocorticoid use, number of prescriptions and healthcare visits, and insurance type.
INTRODUCTION: Osteoporosis is underrecognized and undertreated. Few studies have examined factors associated with osteoporosis treatment in a large, national sample of men and women.
METHODS: We aggregated National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2010 and created a subsample which included individuals 50 years or older who were identified to have osteoporosis either by self-report data or by bone density measurements. The primary outcome was the receipt of osteoporosis treatment either from self-report or from prescription records. Covariates included sociodemographics, clinical characteristics, and access to healthcare variables. Logistic regression analyses were performed to determine factors that associate with osteoporosis treatment.
RESULTS: From a sample of 31,0134 participants, 1,133 subjects (3.65 %) met the study criteria. Treatment was associated with age (odds ratio (OR) = 1.14), gender (OR = 13.25), race (OR = 2.23, White vs. Black; OR = 1.76, other vs. Black), BMI (OR = 1.67, normal vs. obese; OR = 2.68, overweight vs. obese), family history of osteoporosis (OR = 1.94), arthritis (OR = 1.43), daily glucocorticoid use (OR = 1.43), number of prescriptions (OR = 1.01), and number of healthcare visits in the past year (OR = 1.44, 4-9 vs. 0-3 visits). All odds ratios were statistically significant.
CONCLUSION: A large number of individuals diagnosed with osteoporosis above the age of 50 remain untreated. It is important for healthcare providers to better assess older adults with osteoporosis, including individuals who frequently receive medical care.

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Year:  2014        PMID: 24899101     DOI: 10.1007/s00198-014-2747-9

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  14 in total

1.  Medication use patterns for osteoporosis: an assessment of guidelines, treatment rates, and quality improvement interventions.

Authors:  Daniel H Solomon; Charles Morris; Hailu Cheng; Danielle Cabral; Jeffrey N Katz; Joel S Finkelstein; Jerry Avorn
Journal:  Mayo Clin Proc       Date:  2005-02       Impact factor: 7.616

2.  Predictors of treatment with osteoporosis medications after recent fragility fractures in a multinational cohort of postmenopausal women.

Authors:  Susan L Greenspan; Allison Wyman; Frederick H Hooven; Silvano Adami; Stephen Gehlbach; Frederick A Anderson; Steven Boone; Andrea Z Lacroix; Robert Lindsay; J Coen Netelenbos; Johannes Pfeilschifter; Stuart Silverman; Ethel S Siris; Nelson B Watts
Journal:  J Am Geriatr Soc       Date:  2012-02-08       Impact factor: 5.562

Review 3.  Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis.

Authors: 
Journal:  Am J Med       Date:  1993-06       Impact factor: 4.965

4.  Osteoporosis or low bone mass at the femur neck or lumbar spine in older adults: United States, 2005-2008.

Authors:  Anne C Looker; Lori G Borrud; Bess Dawson-Hughes; John A Shepherd; Nicole C Wright
Journal:  NCHS Data Brief       Date:  2012-04

5.  Predictors of osteoporosis screening completion rates in a primary care practice.

Authors:  Ramona S DeJesus; Rajeev Chaudhry; Kurt B Angstman; Stephen S Cha; Sidna M Tulledge-Scheitel; Rebecca L Kesman; Matthew E Bernard; Robert J Stroebel
Journal:  Popul Health Manag       Date:  2011-04-20       Impact factor: 2.459

6.  Factors associated with treatment initiation after osteoporosis screening.

Authors:  Renee M Brennan; Jean Wactawski-Wende; Carlos J Crespo; Jacek Dmochowski
Journal:  Am J Epidemiol       Date:  2004-09-01       Impact factor: 4.897

7.  Association between osteoporosis treatment change and adherence, incident fracture, and total healthcare costs in a Medicare Advantage Prescription Drug plan.

Authors:  M A Ward; Y Xu; H N Viswanathan; B S Stolshek; B Clay; J L Adams; J D Kallich; S Fine; K G Saag
Journal:  Osteoporos Int       Date:  2012-10-26       Impact factor: 4.507

8.  Population-based fracture risk assessment and osteoporosis treatment disparities by race and gender.

Authors:  Jeffrey R Curtis; Leslie A McClure; Elizabeth Delzell; Virginia J Howard; Eric Orwoll; Kenneth G Saag; Monika Safford; George Howard
Journal:  J Gen Intern Med       Date:  2009-06-24       Impact factor: 5.128

Review 9.  Putting body weight and osteoporosis into perspective.

Authors:  G M Wardlaw
Journal:  Am J Clin Nutr       Date:  1996-03       Impact factor: 7.045

10.  A systematic review of osteoporosis health beliefs in adult men and women.

Authors:  Katherine M McLeod; C Shanthi Johnson
Journal:  J Osteoporos       Date:  2011-09-15
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  5 in total

1.  Disparities in osteoporosis treatments.

Authors:  Z Liu; J Weaver; A de Papp; Z Li; J Martin; K Allen; S Hui; E A Imel
Journal:  Osteoporos Int       Date:  2015-07-28       Impact factor: 4.507

2.  Health-Related Quality of Life and Medical Resource Use in Patients with Osteoporosis and Depression: A Cross-Sectional Analysis from the National Health and Nutrition Examination Survey.

Authors:  Shih-Feng Weng; Hui-Ru Hsu; Yao-Lin Weng; Kai-Jen Tien; Hao-Yun Kao
Journal:  Int J Environ Res Public Health       Date:  2020-02-10       Impact factor: 3.390

3.  Trends in oral anti-osteoporosis drug prescription in the United Kingdom between 1990 and 2012: Variation by age, sex, geographic location and ethnicity.

Authors:  R Y van der Velde; C E Wyers; E Teesselink; P P M M Geusens; J P W van den Bergh; F de Vries; C Cooper; N C Harvey; T P van Staa
Journal:  Bone       Date:  2016-10-11       Impact factor: 4.398

4.  Sex differences in recovery of quality of life 12 months post-fracture in community-dwelling older adults: analyses of the Australian arm of the International Costs and Utilities Related to Osteoporotic Fractures Study (AusICUROS).

Authors:  J Talevski; K M Sanders; J J Watts; G C Nicholson; E Seeman; S Iuliano; R Prince; L March; T Winzenberg; G Duque; P R Ebeling; F Borgström; J A Kanis; A L Stuart; A Beauchamp; S L Brennan-Olsen
Journal:  Osteoporos Int       Date:  2021-07-08       Impact factor: 4.507

5.  After the initial fracture in postmenopausal women, where do subsequent fractures occur?

Authors:  Carolyn J Crandall; Rebecca P Hunt; Andrea Z LaCroix; John A Robbins; Jean Wactawski-Wende; Karen C Johnson; Maryam Sattari; Katie L Stone; Julie C Weitlauf; Tanya R Gure; Jane A Cauley
Journal:  EClinicalMedicine       Date:  2021-05-05
  5 in total

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