Publication details | Study details extracted | Indicators of reporting quality | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lead Author | Publication date | Public health domain | Rationale for using QCA | Crisp or Fuzzy Set? | Country/region setting | Population | Intervention evaluated | Data used for analysis - source | Type of data (qual/qant) | Case level of analysis | Number of cases/potential cases | Outcome (s) (phenomena explained) | Evidence of familiarity of cases | Justification for selection of cases | Calibration of set membership scores discussed in detail and justified | Raw data matrix available | Truth tables reported | Solution formula reported and justified | Consistency and coverage measures reported |
Bianchi | 2018a | Nutrition /obesity | “to identify configurations of intervention characteristics associated with, and those not found to be associated with, statistically significant reductions in the demand for meat” | Crisp | Any (included studies all high income countries) | Any | Micro-environment interventions to reduce meat consumption | Published analyses (systematic review) | Quant | Intervention component | 21 out of total of 22 interventions identified | Reduction in consumption, purchase, or selection of meat | Y | Y | N | N | N | Y | Y |
Bianchi | 2018b | Nutrition/obesity | “to identify combinations of intervention characteristics associated with significant reductions in the demand for meat” | Crisp | Any | Any | Interventions targeting conscious determinants of human behaviour to reduce the demand for meat. | Published analyses (systematic review) | Quant | Intervention component | 31 out of a total of 59 interventions identified | Reductions in actual or intended meat consumption | Y | Y | N | N | N | N | Y |
Blackman | 2011 | Health inequalities | “to find configurations of these conditions with either the narrowing or not narrowing outcomes.”; “enables causal arguments to be made rigorously by creating a very close correspondence between theory and data analysis, analysing evidence in ways that directly address theoretical arguments about what matters to achieve some outcome: how it happens. This makes QCA especially appropriate for policy research; the process of defining conditions is then also a process of identifying conditions necessary for a policy outcome.” | Crisp | UK | Those living in ‘deprived’ areas/regions, and at-risk of premature death from cancer and cardiovascular disease (CVD) | Target setting to reduce inequalities (Local policies and service delivery to identified disadvantaged areas) | Primary data (generated for study) Secondary data | Quant | Region/ subnational area - England’s Spearhead areas | 27 of possible 70 (27 complete questionairres returned for both cancer and CVD) | Not/narrowing cancer gap; or not/narrowing CVD gap | Y | Y | N | N | Y | Y | N |
Blackman | 2010 | Health inequalities | “QCA […] assumes that outcomes are produced by variables acting together in combination, including the possibility of different combinations leading to the same outcome”; “using fsQCA to explore how the attributes configured against each outcome.” | Crisp | UK - North-West England | Those living in ‘deprived’ areas/regions, and at-risk of premature death from cancer and circulatory diseases | Local policies and service delivery to identified disadvantaged areas | Primary data (generated for study) Secondary data | Qual and Quant | Region/ subnational area - local strategic partnerships (LSP) | 15 local authority areas in North West England of 21 LSP areas in the North West region that were among the most deprived 88 local authority areas in England (14 and 15 complete questionairries were returned for circulatory diseases and cancers, respectively) | Narrowing OR widening cancer gap; or narrowing OR widening circulatory diseases gap | Y | Y | N | N | Y | Y | N |
Blackman | 2013 | Health inequalities | “enabling causal pathways to be discerned from how sets of conditions combine with particular outcomes: in this instance, whether inequalities in conception rates do or do not narrow, compared with the England average.” | Crisp | England, deprived local authority areas | Women under 18 | Local policies and service delivery addressing pregnancy in those aged under-18 | Primary data (generated for study) Secondary data | Quant | Region/ subnational area – local authority | 27 from 70 local authority areas | A narrowing teenage pregnancy rate gap compared to the national average OR a gap that had not been narrowing. | Y | Y | Y | N | Y | Y | Y |
Bruer | 2018 | Mental health | Goal to “to evaluate outcomes and processes simultaneously … [QCA] holds promise as a way to do this” | Fuzzy | Nepal, West Chitwan | Primary care patients | Programme for Improving Mental Healthcare’ (PRIME) Mental Health Care Plans (MHCPs) | Secondary data | Quant | Organisation - health facilities | 10 of the 10 health facilities in Chitwan where the PRIME MHCPs were implemented | Effectiveness of the intervention:increased service utilisation | Y | Y | Y | Y | Y | Y | Y |
Brunton | 2014 | Community engagement | “Given that interventions targeting social determinants of health are necessarily complex (Medical Research Council 2008), this method [QCA] is well-suited to examine the components of effective interventions in maternity and early years interventions.” | Fuzzy | OECD countries (USA, UK, RoI) | Disadvantaged pregnant women and new mothers | Community engagement – orientated to antenatal care, breastfeeding, child illness prevention and parenting | Published analysis (systematic review) | Quant | Intervention | 24 of 29 studies (a sub-set of the 131 trials included in the braoder review of studies) | Effectiveness of the intervention. | N | Y | Y | Y | Y | Y | Y |
Burchett | 2018 | Nutrition/ obesity | QCA method used to attend to “the inherent variance in intervention content, context and outcomes […] to explore the critical features of WMPs [weight management programs] for children to understand the mechanisms through which interventions have the impact that they do.” | Crisp | UK | Children and Young People | Lifestyle weight management interventions | Published analysis | Quant | Intervention | 15 (most/least effective) of 30 interventions | Intervention effectiveness | N | Y | N | N | N | Y | N |
Chippone | 2018 | Nutrition/ obesity & PA | “to determine necessary and sufficient technical assistance conditions supporting NAP SACC [Nutrition and Physical Activity Self-Assessment in Child Care] outcomes.”; “to account for equifinality” | Fuzzy | USA | Children and Young People | Technical assistance | Primary data (generated for study) | Quant | Intervention (‘ECE programs’) | 15 highest performing programs and 15 lowest performing programs (from 10 collaboratives, comprising 84 early care and education programs) | Effectiveness of technical assistance | Y | Y | N | N | Y | N | N |
Fernald | 2018 | Chronic condition management | “to identify conditions/sets important for successful implementation. Qualitative Comparative Analysis (QCA) maintains complexity in the analytical process and allows for multiple pathways to achieve the outcome” | Fuzzy | USA | Primary care patients | Community-Created Self-Management Support (SMS) Tools in Primary Care Practices | Primary data (generated for study) | Qual | Organisation (primary care practice) | 16 practices of 16 enrolled in study | Routine SMS implementation in primary care setting | Y | Y | Y | N | Y | Y | Y |
Ford | 2005 | General population health status | “allows for the exploration of the necessity, sufficiency and interactions among the three core public health functions and relates them to the outcome of interest—health impact assessments.” | Crisp | USA | Whole population | Assessment, assurance and policy development functions (Adherence to IoM’s recommendations) | Secondary data | Quant | Region/ subnational area: State | 41 of 50 states | Population health improvement 1990–2000 (composite measure based on United Health Group’s ratings) above or below average | N | Y | N | N | Y | Y | Y |
Glatman-Freedman | 2010 | Vaccine adoption and implementation | “to examine the alternative combinations of factors that are conducive to the success or failure of new vaccine introduction” | Crisp | African countries eligible for GAVI funding | Organisations | GAVI funding | Secondary data | Quant | Country | 35 (all eligible countries) | Country is in one of 3 groups: with both Hep B and Hib vaccines introduced; just hep b introduced; or neither introduced | N | Y | N | N | N | Y | Y |
Harris | 2019 | Chronic condition management | “to identify the combination of intervention components and processes that are aligned with successful intervention implementation” | Fuzzy | Any (“Most studies were conducted in North America in socially disadvantaged populations.”) | Children and Young People | Asthma management interventions (“if their purpose was to help children improve management of their asthma by increasing knowledge, enhancing skills, or changing behaviour.”) | Published analysis (systematic review) | Qual and Quant | Intervention | 33 of 55 studies | Implementation of intervention successful | Y | Y | Y | Y | Y | Y | Y |
Harting | 2019 | Programme implementation | “Our theoretical framework indicates that it is the combination of conditions that is important for network performance, rather than the influence of conditions separately. Therefore, we performed a fuzzy set qualitative comparative analysis (fsQCA)” | Fuzzy | Netherlands, municipalities | Policy actors | Multi-sectoral network Gezonde Slagkracht (Decisive Action for Health) program which provided resources for multisectoral networks for action on overweight, alcohol and drug abuse and/or smoking | Primary data (generated for study) | Quant | Public Health Policy Networks (in municipalities or collaborations of municipalities) | 29 of the 34 Dutch public health policy networks in the programme | Network performance - indicated by implementation of more than 3 non-educational PH strategies | N | Y | Y | Y | Y | Y | Y |
Hartman-Boyce | 2018 | Nutrition /obesity | “to identify combinations of intervention components associatedwith statistically significant changes (P < 0.05) in the desired direction for at least one of the foods targeted by the intervention […] to augment the narrative review.” | Crisp | Any | Food store consumers | Food purchasing interventions | Published analyses (systematic review) | Quant | Intervention | 89 interventions, reported in 35 studies | Sucessful implementation of intervention (“statistically significant changes in the desired direction for ≥1 of the foods targeted by the intervention”) | N | Y | N | N | N | Y | Y |
Kahwati | 2011 | Nutrition /obesity & PA | “to identify facility conditions or combinations of conditions associated with larger 6-month patient weight-loss outcomes. QCA is a method that allows for systematic cross-case comparison to better understand causal complexity.” | Crisp | USA | Adults (Veterans exposed to the MOVE! Weight Management Program) | MOVE! Weight Management Program for Veterans | Primay data and secondary data | Qual and Quant | Organisation - health facilities | Twenty-two facilities of 239 facilities eligible for selection (“Eleven sites with larger outcomes and 11 sites with smaller outcomes”) | Intervention effectiveness (“larger patient weight-loss outcomes”) | Y | Y | Y | N | Y | Y | Y |
Kane | 2017 | Programme implementation | “To determine which combination of elements of capacity is most prevalent among the awardees that successfully implemented objectives”; “Programs such as CCPW [Communities Putting Prevention to Work] invove multiple components that may work together and different program models can lead to success. This method accommodates the complexity associated with evaluating such programs.” | Crisp | USA | Organisations | Communities Putting Prevention to Work (CPPW) program | Primary data (generated for study) | Qual | Organisation - awardee (“In most cases, the lead organization for an awardee was a city or county health department, although community-based organizations served as leads for a few awardees”) | 22 of 50 community awardees | Intervention implementation effectivesness (“completion of approximately 60% of work plan objectives”) | Y | Y | Y | N | Y | Y | Y |
Kien | 2018 | PA | “We chose QCA as the method of analysis, as we investigated a small number of cases and aimed to answer a question related to the combinations of conditions and not related to the identification of the independent influence of a variable. Furthermore, we were interested, in whether different combinations of causal conditions could lead to the same outcome.” | Fuzzy | Austria | Children and Young People | School based health promotion programme: “Classes in Motion” | Primary data (generated for study) | Qual and Quant | Classes | 24 classes out of 26 classes that received the intervention | Percent of children showing an improvement in emotional and social school experience. | Y | Y | Y | Y | Y | Y | Y |
Lubold | 2017 | Breastfeeding | “to examine the combinations of conditions leading to both high and low national breastfeeding initiation” | Fuzzy | OECD countries | Mothers | Baby-Friendly Hospital Initiative (BFHI) | Secondary data | Quant | Country | 18 countries of 34 OECD countries | Percent of breastfeeding initiation | N | Y | N | Y | Y | Y | Y |
Lucidarme | 2016 | Programme implementation | QCA as most appropriate method because “we have a combination of a relatively large number of determinants and a small number of cases.”; “a large amount of in-depth qualitative data was collected and CCMs [Configurational comparative methods] are able to deal with such large amounts of qualitative data.” | Crisp | Flanders, Belgium | Organisations | Local health promotion networks (LHP) | Primary data (generated for study) Secondary data | Qual and Quant | Network | 13 of 13 LHPs | Composite score of effectiveness of network from 5 measures at Community level (Awareness and change in awareness of ‘10,000 steps’ programme) and Network level (measures of participation, and actions at municipal and regional level) | Y | Y | Y | Y | Y | Y | Y |
McGowan | 2019 | Mental health & Community Engagement | “QCA is therefore of potential use in the evaluation of the effectiveness of complex public health interventions as applied to small populations” | Crisp | UK, ‘Big Local’ (BL) areas (disadvantaged areas in UK) | Adult participants in BL partnerships (residents, workers, volunteers in locality) | A community-led empowerent initiative | Primary data (generated for study) | Quant | Person /individual | 48 participants of 65 participating in a Wave 2 survey | Improvement in mental health | N | Y | Y | N | Y | N | N |
Melendez-Torres | 2018 | Nutrition /obesity & PA | “we aimed to understand why some interventions appeared to work better than others, or, whether specific combinations of WMP [weight management program] features were associated with greater intervention effectiveness. [...] QCA was particularly suitable [...] as it facilitates the identification of configurations of various intervention and other contextual features that are (or are not) present when the intervention has been evaluated and found successful (or not) in obtaining a desired outcome” | Fuzzy | Any (but notes in original review that over half of included studies were from US) | Overweight or obese adults | Weight management programs | Published analysis | Quant | Intervention | 20 (10 most effective; 10 least effective) from 40 intervention arms within 30 trials | Pathways to high (and low) intervention effectivess | N | Y | Y | Y | Y | Y | Y |
Parrott | 2018 | Nutrition/obesity | “QCA is much more suited to answering the question: For whom and under what conditions does the intervention make a difference” | Crisp | Any | Children and Young People | Pediatric weight management (PWM) interventions | Published analysis (systematic review) | Quant | Intervention component | 209 separate treatment arms from 99 controlled trials, were included in this analysis. | Positive weight status outcomes | N | Y | Y | N | Y | Y | Y |
Roberts | 2018 | Vaccine adoption and implementation | “Qualitative comparative analysis (QCA) is a formalized qualitative analytic approach that can be leveraged to determine which sets of state policies may be necessary or sufficient for high state-level HPV vaccination uptake. States have enacted multiple, often overlapping policies that may influence HPV vaccine uptake; QCA is well suited for characterizing these complex relationships.” | Fuzzy | USA | Children and Young People | State policies | Secondary data | Quant | Region/subnational area | 51 (of 50 States + Washington DC) | Higher levels of HPV vaccine uptake in adolescent boys and girls | N | Y | Y | N | Y | Y | Y |
Thomas | 2014 | Community engagement & Breastfeeding | “the context for this paper: a need to identify important components of interventions when making commissioning decisions, but a lack of established methods of synthesis which enable such investigations. We therefore examine an analytical technique, [QCA] which has been designed to overcome some of the limitations outlined above.” | Fuzzy | OECD countries | Expectant and new mothers | Community engagement programmes directed toward expectant and new mothers to promote breastfeeding. | Published analysis (systematic review) | Quant | Intervention | 12 studies as a subset of a review that included 319 studies | Intervention effectiveness (“membership in the set of highly effective interventions”) | N | Y | Y | Y | Y | Y | Y |
Warren | 2013, 2014 | Chronic condition management | To capture complexity (particularly on how policy interventions work across heterogeneous contexts) (2013); “QCA addresses multiple causation” (2014) | Crisp | UK - North-East England | Adult working age recipients of incapacity benefit (IB) | Case management to help benefit recipients return to work | Primary data | Quant | Individual | 131 participants receiving the intervention | Self-reported health (EQ. 5-S score) improves/does not improve relative to UK population | Y | Y | N | Y | Y | Y | Y |