Literature DB >> 34162447

Systems thinking in health technology assessment: a scoping review.

Marina Richardson1,2, Lauren C Ramsay1,2, Joanna M Bielecki2, Whitney Berta1, Beate Sander1,2,3,4.   

Abstract

OBJECTIVE: Our objective was to assess how, and to what extent, a systems-level perspective is considered in decision-making processes for health interventions by illustrating how studies define the boundaries of the system in their analyses and by defining the decision-making context in which a systems-level perspective is undertaken.
METHOD: We conducted a scoping review following the Joanna Briggs Institute methodology. MEDLINE, EMBASE, Cochrane Library, and EconLit were searched and key search concepts included decision making, system, and integration. Studies were classified according to an interpretation of the "system" of analysis used in each study based on a four-level model of the health system (patient, care team, organization, and/or policy environment) and using categories (based on intervention type and system impacts considered) to describe the decision-making context.
RESULTS: A total of 2,664 articles were identified and 29 were included for analysis. Most studies (16/29; 55%) considered multiple levels of the health system (i.e., patient, care team, organization, environment) in their analysis and assessed multiple classes of interventions versus a single class of intervention (e.g., pharmaceuticals, screening programs). Approximately half (15/29; 52%) of the studies assessed the influence of policy options on the system as a whole, and the other half assessed the impact of interventions on other phases of the disease pathway or life trajectory (14/29; 48%).
CONCLUSIONS: We found that systems thinking is not common in areas where health technology assessments (HTAs) are typically conducted. Against this background, our study demonstrates the need for future conceptualizations and interpretations of systems thinking in HTA.

Entities:  

Keywords:  Health systems; Intersectoral collaboration; Scoping review; Technology assessment

Year:  2021        PMID: 34162447     DOI: 10.1017/S0266462321000428

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  1 in total

1.  Developing a dynamic simulation model to support the nationwide implementation of whole genome sequencing in lung cancer.

Authors:  Michiel van de Ven; Maarten IJzerman; Valesca Retèl; Wim van Harten; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2022-03-27       Impact factor: 4.615

  1 in total

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