scholarly journals Qualitative process evaluation from a complex systems perspective: A systematic review and framework for public health evaluators

PLoS Medicine ◽  
2020 ◽  
Vol 17 (11) ◽  
pp. e1003368
Author(s):  
Elizabeth McGill ◽  
Dalya Marks ◽  
Vanessa Er ◽  
Tarra Penney ◽  
Mark Petticrew ◽  
...  
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract Ongoing monitoring and process evaluation of public health initiatives can be challenging, particularly with complex initiatives involving multiple partners and systems and environmental change goals. Limited resources for monitoring and evaluation contribute to these challenges. Many initiatives and programs generate multiple reporting documents, however, such as planning documents, site visit or trip reports, and summative evaluation reports. Often these documents are underutilized, although they contain valuable information that can be mined. If (ideally) thoughtfully designed and then systematically reviewed using quantitative and qualitative content analysis methods (e.g. Neuendorff 2019, White and Marsh 2006), such documents can serve as valuable and cost- and time-efficient sources of data for monitoring and course correction. The presenters have experience both teaching, designing, and utilizing documents and content analysis methods for supporting effective planning, monitoring, and process evaluation. We will briefly present both quantitative and qualitative content analysis methods that can be applied both to documents tailored for such methods and pre-existing documents. The use of simpler tools for managing and analyzing data such as Excel as well as more complex computer assisted data analysis software (CAQDAS) packages will be reviewed. We will give examples utilizing experiences applying these methods to local public health department work as well as global health engagement projects. Following presentation giving an overview of content analysis methods and developing tools for applying them to documents via identified criteria, participants will be dividing into small breakout groups, and supported in brainstorming discussions about how they can use these methods with their own programs and initiatives. Following this workshop, participants should be able to: 1) discuss the differences between quantitative and qualitative approaches to content analysis of documents, for monitoring purposes; 2) understand the process of identifying criteria or categories tied to the goals and objectives of initiatives or programs, even if goals and objectives change over time, and utilizing these criteria to develop tools for systematic review and content analysis of available documents; and 3) leave with initial ideas about how to apply these tools in their own work and resources for doing so. Key messages Program or project generated documents such as plans, site visit and existing reports are underutilized for monitoring and process evaluation but can serve as valuable and accessible data sources. Systematic review including quantitative and qualitative content analysis methods can be used with project documents to support valid and rigorous data extraction for monitoring purposes.


2021 ◽  
Vol 272 ◽  
pp. 113697
Author(s):  
Elizabeth McGill ◽  
Vanessa Er ◽  
Tarra Penney ◽  
Matt Egan ◽  
Martin White ◽  
...  

2002 ◽  
Vol 45 (11) ◽  
pp. 27-31 ◽  
Author(s):  
Mark Klein ◽  
Hiroki Sayama ◽  
Peyman Faratin ◽  
Yaneer Bar-Yam

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Benjamin Hanckel ◽  
Mark Petticrew ◽  
James Thomas ◽  
Judith Green

Abstract Background Qualitative Comparative Analysis (QCA) is a method for identifying the configurations of conditions that lead to specific outcomes. Given its potential for providing evidence of causality in complex systems, QCA is increasingly used in evaluative research to examine the uptake or impacts of public health interventions. We map this emerging field, assessing the strengths and weaknesses of QCA approaches identified in published studies, and identify implications for future research and reporting. Methods PubMed, Scopus and Web of Science were systematically searched for peer-reviewed studies published in English up to December 2019 that had used QCA methods to identify the conditions associated with the uptake and/or effectiveness of interventions for public health. Data relating to the interventions studied (settings/level of intervention/populations), methods (type of QCA, case level, source of data, other methods used) and reported strengths and weaknesses of QCA were extracted and synthesised narratively. Results The search identified 1384 papers, of which 27 (describing 26 studies) met the inclusion criteria. Interventions evaluated ranged across: nutrition/obesity (n = 8); physical activity (n = 4); health inequalities (n = 3); mental health (n = 2); community engagement (n = 3); chronic condition management (n = 3); vaccine adoption or implementation (n = 2); programme implementation (n = 3); breastfeeding (n = 2), and general population health (n = 1). The majority of studies (n = 24) were of interventions solely or predominantly in high income countries. Key strengths reported were that QCA provides a method for addressing causal complexity; and that it provides a systematic approach for understanding the mechanisms at work in implementation across contexts. Weaknesses reported related to data availability limitations, especially on ineffective interventions. The majority of papers demonstrated good knowledge of cases, and justification of case selection, but other criteria of methodological quality were less comprehensively met. Conclusion QCA is a promising approach for addressing the role of context in complex interventions, and for identifying causal configurations of conditions that predict implementation and/or outcomes when there is sufficiently detailed understanding of a series of comparable cases. As the use of QCA in evaluative health research increases, there may be a need to develop advice for public health researchers and journals on minimum criteria for quality and reporting.


2021 ◽  
Vol 15 ◽  
pp. 117863022110183
Author(s):  
Hamidreza Aghababaeian ◽  
Abbas Ostadtaghizadeh ◽  
Ali Ardalan ◽  
Ali Asgary ◽  
Mehry Akbary ◽  
...  

Background: Dust storms and their impacts on health are becoming a major public health issue. The current study examines the health impacts of dust storms around the world to provide an overview of this issue. Method: In this systematic review, 140 relevant and authoritative English articles on the impacts of dust storms on health (up to September 2019) were identified and extracted from 28 968 articles using valid keywords from various databases (PubMed, WOS, EMBASE, and Scopus) and multiple screening steps. Selected papers were then qualitatively examined and evaluated. Evaluation results were summarized using an Extraction Table. Results: The results of the study are divided into two parts: short and long-term impacts of dust storms. Short-term impacts include mortality, visitation, emergency medical dispatch, hospitalization, increased symptoms, and decreased pulmonary function. Long-term impacts include pregnancy, cognitive difficulties, and birth problems. Additionally, this study shows that dust storms have devastating impacts on health, affecting cardiovascular and respiratory health in particular. Conclusion: The findings of this study show that dust storms have significant public health impacts. More attention should be paid to these natural hazards to prepare for, respond to, and mitigate these hazardous events to reduce their negative health impacts. Registration: PROSPERO registration number CRD42018093325


Sign in / Sign up

Export Citation Format

Share Document