Literature DB >> 24387088

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

Robert W Sanson-Fisher1, Catherine A D'Este, Mariko L Carey, Natasha Noble, Christine L Paul.   

Abstract

The need to provide sound evidence of the costs and benefits of real-world public health interventions has driven advances in the development and analysis of designs other than the controlled trial in which individuals are randomized to an experimental condition. Attention to methodological quality is of critical importance to ensure that any evaluation can accurately answer three fundamental questions: (a) Has a change occurred, (b) did the change occur as a result of the intervention, and (c) is the degree of change significant? A range of alternatives to the individual randomized controlled trial (RCT) can be used for evaluating such interventions, including the cluster RCT, stepped wedge design, interrupted time series, multiple baseline, and controlled prepost designs. The key features and complexities associated with each of these designs are explored.

Mesh:

Year:  2014        PMID: 24387088     DOI: 10.1146/annurev-publhealth-032013-182445

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  23 in total

1.  Implementing Exercise in Healthcare Settings: The Potential of Implementation Science.

Authors:  Louise Czosnek; Nicole Rankin; Eva Zopf; Justin Richards; Simon Rosenbaum; Prue Cormie
Journal:  Sports Med       Date:  2020-01       Impact factor: 11.136

Review 2.  Measuring improvement in populations: implementing and evaluating successful change in lung cancer care.

Authors:  Xinhua Yu; Lisa M Klesges; Mathew P Smeltzer; Raymond U Osarogiagbon
Journal:  Transl Lung Cancer Res       Date:  2015-08

3.  Three Statistical Approaches for Assessment of Intervention Effects: A Primer for Practitioners.

Authors:  Lihua Li; Meaghan S Cuerden; Bian Liu; Salimah Shariff; Arsh K Jain; Madhu Mazumdar
Journal:  Risk Manag Healthc Policy       Date:  2021-02-22

4.  Determining County-Level Counterfactuals for Evaluation of Population Health Interventions: A Novel Application of K-Means Cluster Analysis.

Authors:  Kelly L Strutz; Zhehui Luo; Jennifer E Raffo; Cristian I Meghea; Peggy Vander Meulen; Lee Anne Roman
Journal:  Public Health Rep       Date:  2021-07-29       Impact factor: 3.117

5.  Implementation of a stepped-wedge cluster randomized design in routine public health practice: design and application for a tuberculosis (TB) household contact study in a high burden area of Lima, Peru.

Authors:  Lena Shah; Marlene Rojas; Oscar Mori; Carlos Zamudio; Jay S Kaufman; Larissa Otero; Eduardo Gotuzzo; Carlos Seas; Timothy F Brewer
Journal:  BMC Public Health       Date:  2015-06-26       Impact factor: 3.295

6.  Mobile mental health: a challenging research agenda.

Authors:  Miranda Olff
Journal:  Eur J Psychotraumatol       Date:  2015-05-19

7.  The need to balance merits and limitations from different disciplines when considering the stepped wedge cluster randomized trial design.

Authors:  Esther de Hoop; Ingeborg van der Tweel; Rieke van der Graaf; Karel G M Moons; Johannes J M van Delden; Johannes B Reitsma; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2015-10-30       Impact factor: 4.615

8.  What gets measured gets done: an assessment of local data uses and needs in large urban health departments.

Authors:  Brian C Castrucci; Elizabeth K Rhoades; Jonathon P Leider; Shelley Hearne
Journal:  J Public Health Manag Pract       Date:  2015 Jan-Feb

9.  Efficacy and cost effectiveness of telemedicine for improving access to care in the Paris region: study protocols for eight trials.

Authors:  Nathanael Charrier; Kevin Zarca; Isabelle Durand-Zaleski; Christine Calinaud
Journal:  BMC Health Serv Res       Date:  2016-02-08       Impact factor: 2.655

Review 10.  Stepped wedge cluster randomised trials: a review of the statistical methodology used and available.

Authors:  D Barker; P McElduff; C D'Este; M J Campbell
Journal:  BMC Med Res Methodol       Date:  2016-06-06       Impact factor: 4.615

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