Literature DB >> 31993718

Interventions to improve osteoporosis care: a systematic review and meta-analysis.

J Martin1,2, M Viprey1,2, B Castagne1,3, B Merle4, C Giroudon5, R Chapurlat4,6, A-M Schott7,8.   

Abstract

Osteoporosis (OP) is a major public health concern, but still OP care does not meet guidelines. Interventions have been developed to improve appropriate OP management. The objective of the present study was to systematically review the current literature to ascertain the efficacy of interventions to improve OP care and characterize interventions taking into account elements related to their potential cost and feasibility. Studies published from 2003 to 2018 were retrieved from PubMed/MEDLINE, Science Direct, Web of Science, Cochrane, and Wiley Online Library databases. Screening of references and quality assessment were independently performed by two reviewers. We classified interventions into three types according to the target of the intervention: health system (structural interventions), healthcare professional (HCP), and patient. Meta-analysis was performed by type of intervention and their effect on two outcomes: prescription of BMD measurement and prescription of OP therapy. A total of 4268 records were screened; 32 studies were included in the qualitative analysis and 29 studies in the quantitative analysis. Structural interventions strongly and significantly improved prescription of BMD measurement (OR = 9.99, 95% CI 2.05; 48.59) and treatment prescription (OR = 3.82, 95% CI 2.16; 6.75). The impact of HCP-centered interventions on BMD measurement prescription did not reach statistical significance (OR = 2.19, 95% CI 0.84; 5.73) but significantly improved treatment prescription (OR = 3.82, 95% CI 2.16; 6.75). Interventions involving patients significantly improved the prescription of BMD measurement (OR = 2.16, 95% CI 1.62; 2.89) and treatment prescription (OR = 1.70, 95% CI 1.35; 2.14). Interventions to improve OP management had a significant positive impact on prescription of BMD measurement but a more limited impact on treatment prescription.

Entities:  

Keywords:  Bone mineral density; Care; Intervention; Osteoporosis; Therapy prescription

Mesh:

Year:  2020        PMID: 31993718     DOI: 10.1007/s00198-020-05308-0

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


  50 in total

1.  AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY CLINICAL PRACTICE GUIDELINES FOR THE DIAGNOSIS AND TREATMENT OF POSTMENOPAUSAL OSTEOPOROSIS - 2016--EXECUTIVE SUMMARY.

Authors:  Pauline M Camacho; Steven M Petak; Neil Binkley; Bart L Clarke; Steven T Harris; Daniel L Hurley; Michael Kleerekoper; E Michael Lewiecki; Paul D Miller; Harmeet S Narula; Rachel Pessah-Pollack; Vin Tangpricha; Sunil J Wimalawansa; Nelson B Watts
Journal:  Endocr Pract       Date:  2016-09       Impact factor: 3.443

2.  Bridging the osteoporosis treatment gap: performance and cost-effectiveness of a fracture liaison service.

Authors:  Christopher J Yates; Marie-Anne Chauchard; Danny Liew; Andrew Bucknill; John D Wark
Journal:  J Clin Densitom       Date:  2015-03-18       Impact factor: 2.617

3.  The impact of a simple fracture clinic intervention in improving the diagnosis and treatment of osteoporosis in fragility fracture patients.

Authors:  Gillian Hawker; Rowena Ridout; Maria Ricupero; Susan Jaglal; Earl Bogoch
Journal:  Osteoporos Int       Date:  2003-03-04       Impact factor: 4.507

4.  Improving osteoporosis management in general practice: a pharmacist-led drug use evaluation program.

Authors:  Edwin C K Tan; Johnson George; Kay Stewart; Rohan A Elliott
Journal:  Drugs Aging       Date:  2014-09       Impact factor: 3.923

5.  How Can We Improve Osteoporosis Care? A Systematic Review and Meta-Analysis of the Efficacy of Quality Improvement Strategies for Osteoporosis.

Authors:  Smita Nayak; Susan L Greenspan
Journal:  J Bone Miner Res       Date:  2018-05-03       Impact factor: 6.741

6.  Evaluation of osteoporosis risk and initiation of a nurse practitioner intervention program in an orthopedic practice.

Authors:  Patricia Seuffert; Carlos A Sagebien; Matthew McDonnell; Dorene A O'Hara
Journal:  Arch Osteoporos       Date:  2016-02-04       Impact factor: 2.617

7.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18

8.  A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis.

Authors:  Monika Kastner; Anna M Sawka; Jemila Hamid; Maggie Chen; Kevin Thorpe; Mark Chignell; Joycelyne Ewusie; Christine Marquez; David Newton; Sharon E Straus
Journal:  Implement Sci       Date:  2014-09-25       Impact factor: 7.327

9.  Improvements in osteoporosis testing and care are found following the wide scale implementation of the Ontario Fracture Clinic Screening Program: An interrupted time series analysis.

Authors:  Dorcas E Beaton; Muhammad Mamdani; Hong Zheng; Susan Jaglal; Suzanne M Cadarette; Earl R Bogoch; Joanna E M Sale; Rebeka Sujic; Ravi Jain
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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  6 in total

1.  Understanding Physicians' Perceptions of Patient-Identified Barriers to Osteoporosis Medication Initiation: A Cognitive Mapping Approach.

Authors:  Haiyan Qu; Stuart L Silverman; Richard M Shewchuk; Jeffrey R Curtis; Shamly Austin; Susan L Greenspan; Jeri W Nieves; Ryan C Outman; Amy H Warriner; Nelson B Watts; Kenneth G Saag
Journal:  Risk Manag Healthc Policy       Date:  2022-07-05

2.  Plasma Growth and Differentiation Factor 15 Predict Longitudinal Changes in Bone Parameters in Women, but Not in Men.

Authors:  Yusuke Osawa; Toshiko Tanaka; Richard D Semba; Giovanna Fantoni; Ruin Moaddel; Julián Candia; Eleanor M Simonsick; Stefania Bandinelli; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-10-06       Impact factor: 6.591

Review 3.  UK clinical guideline for the prevention and treatment of osteoporosis.

Authors:  Celia L Gregson; David J Armstrong; Jean Bowden; Cyrus Cooper; John Edwards; Neil J L Gittoes; Nicholas Harvey; John Kanis; Sarah Leyland; Rebecca Low; Eugene McCloskey; Katie Moss; Jane Parker; Zoe Paskins; Kenneth Poole; David M Reid; Mike Stone; Julia Thomson; Nic Vine; Juliet Compston
Journal:  Arch Osteoporos       Date:  2022-04-05       Impact factor: 2.879

4.  Association of ESR1 polymorphism rs2234693 and rs9340799 with postmenopausal osteoporosis in a Chinese population.

Authors:  Jin Shu; Junling Li; Yujuan Fu; Xuelian Hui; Yani Jin; Mengjie Chen; Xin Zheng; Yaowu Shi
Journal:  BMC Musculoskelet Disord       Date:  2020-06-03       Impact factor: 2.362

Review 5.  Post-fracture care programs for prevention of subsequent fragility fractures: a literature assessment of current trends.

Authors:  K E Åkesson; K Ganda; C Deignan; M K Oates; A Volpert; K Brooks; D Lee; D R Dirschl; A J Singer
Journal:  Osteoporos Int       Date:  2022-03-24       Impact factor: 5.071

6.  Models of care for osteoporosis: A systematic scoping review of efficacy and implementation characteristics.

Authors:  Alicia R Jones; Madhuni Herath; Peter R Ebeling; Helena Teede; Amanda J Vincent
Journal:  EClinicalMedicine       Date:  2021-07-14
  6 in total

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