Literature DB >> 26380178

Measuring improvement in populations: implementing and evaluating successful change in lung cancer care.

Xinhua Yu1, Lisa M Klesges1, Mathew P Smeltzer1, Raymond U Osarogiagbon1.   

Abstract

Improving quality of care in lung cancer, the leading cause of cancer death worldwide and in the United States, is a major public health challenge. Such improvement requires accurate and meaningful measurement of quality of care. Preliminary indicators have been derived from clinical practice guidelines and expert opinions, but there are few standard sets of quality of care measures for lung cancer in the United States or elsewhere. Research to develop validated evidence-based quality of care measures is critical in promoting population improvement initiatives in lung cancer. Furthermore, novel research designs beyond the traditional randomized controlled trials (RCTs) are needed for wide-scale applications of quality improvement and should extend into alternative designs such as quasi-experimental designs, rigorous observational studies, population modeling, and other pragmatic study designs. We discuss several study design options to aid the development of practical, actionable, and measurable quality standards for lung cancer care. We also provide examples of ongoing pragmatic studies for the dissemination and implementation of lung cancer quality improvement interventions in community settings.

Entities:  

Keywords:  Quality improvement; dissemination and implementation; evidence based practice; health services research

Year:  2015        PMID: 26380178      PMCID: PMC4549468          DOI: 10.3978/j.issn.2218-6751.2015.07.13

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  64 in total

1.  Racial differences in the treatment of early-stage lung cancer.

Authors:  P B Bach; L D Cramer; J L Warren; C B Begg
Journal:  N Engl J Med       Date:  1999-10-14       Impact factor: 91.245

2.  RE-AIM: evidence-based standards and a Web resource to improve translation of research into practice.

Authors:  David A Dzewaltowski; Russell E Glasgow; Lisa M Klesges; Paul A Estabrooks; Elizabeth Brock
Journal:  Ann Behav Med       Date:  2004-10

3.  Evaluation of systems-oriented public health interventions: alternative research designs.

Authors:  Robert W Sanson-Fisher; Catherine A D'Este; Mariko L Carey; Natasha Noble; Christine L Paul
Journal:  Annu Rev Public Health       Date:  2014-01-02       Impact factor: 21.981

4.  Mediastinal lymph node examination and survival in resected early-stage non-small-cell lung cancer in the surveillance, epidemiology, and end results database.

Authors:  Raymond U Osarogiagbon; Xinhua Yu
Journal:  J Thorac Oncol       Date:  2012-12       Impact factor: 15.609

5.  Quasi-experimental designs in practice-based research settings: design and implementation considerations.

Authors:  Margaret A Handley; Dean Schillinger; Stephen Shiboski
Journal:  J Am Board Fam Med       Date:  2011 Sep-Oct       Impact factor: 2.657

6.  Delays in the diagnosis and surgical treatment of lung cancer.

Authors:  J S Billing; F C Wells
Journal:  Thorax       Date:  1996-09       Impact factor: 9.139

7.  Delays in the diagnosis and treatment of lung cancer.

Authors:  Eija-Riitta Salomaa; Susanna Sällinen; Heikki Hiekkanen; Kari Liippo
Journal:  Chest       Date:  2005-10       Impact factor: 9.410

8.  Racial composition of hospitals: effects on surgery for early-stage non-small-cell lung cancer.

Authors:  Christopher S Lathan; Bridget A Neville; Craig C Earle
Journal:  J Clin Oncol       Date:  2008-09-10       Impact factor: 44.544

Review 9.  The stepped wedge trial design: a systematic review.

Authors:  Celia A Brown; Richard J Lilford
Journal:  BMC Med Res Methodol       Date:  2006-11-08       Impact factor: 4.615

10.  Stepped-wedge cluster randomised controlled trials: a generic framework including parallel and multiple-level designs.

Authors:  Karla Hemming; Richard Lilford; Alan J Girling
Journal:  Stat Med       Date:  2014-10-24       Impact factor: 2.373

View more
  1 in total

1.  Using Implementation Science to Examine the Impact of Cancer Survivorship Care Plans.

Authors:  Rebecca Selove; Sarah A Birken; Ted A Skolarus; Erin E Hahn; Anne Sales; Enola K Proctor
Journal:  J Clin Oncol       Date:  2016-09-30       Impact factor: 44.544

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.