Table 2 Summary of included articles
Authors | Year of publication | Country of origin/under study | Study Design | Overview of Data Analysis Tools Used | Indicators Provided |
|---|---|---|---|---|---|
Anderson et al [15] | 2018 | U.S | Quantitative | n/a -equity roadmap proposal | n/a |
Asaria et al [9] | 2016 | UK | Quantitative | Lower super output area Index of multiple deprivation Slope index of inequity (SII) Relative index of inequality (RII) | Primary care supply Primary care quality Preventable hospitalization Amenable mortality |
Buja et al [11] | 2015 | Italy | Quantitative | unconditional exploratory logistic regression analysis of indicators | Indicators of processes: 1. patients with STEMI-AMI not treated with percutaneous coronary intervention (PCI) 2. older patients with hip fractures undergoing surgery more than 48 h after being admitted to hospital 3. open cholecystectomies 4. women undergoing caesarean section |
Burström et al [12] | 2017 | Sweden | Scoping Review- Mixed Methods | Donabedian's framework for assessing quality of care | n/a |
Cohen et al [13] | 2018 | Ontario | Qualitative | NVivo qualitative data analysis software Content analysis | 15 indicators, placed into five categories: 1. Assess/report inequities 2. Modify/orient programs/services 3. Engage in community and multi sectoral collaboration in addressing the health needs of populations through services and programs 4. Lead/support/participate with others to address policies 5. Organizational and development role |
Cookson et al [10] | 2018 | England | Quantitative | Lower super output area Index of multiple deprivation Linear regression Absolute gradient index | Quality of ambulatory care services in managing long term conditions |
Freeman et al [16] | 2018 | Australia | Mixed Methods | QSR NVivo software for thematic analysis | n/a |
Lavoie et al [17] | 2018 | Canada | Mixed Methods | Socio-historical narrative of each clinic Analysis of board meeting minutes and funding contracts for each clinic | n/a |
Li et al [18] | 2018 | China | Quantitative | 4-level hierarchical random effects models 4-level regression model | n/a |
Lloren et al [19] | 2019 | United States | Quantitative | hospital‐specific random coefficient for patient dual eligibility status or African American race Sensitivity analyses | n/a |
Saia et al [20] | 2018 | Italy | Quantitative | predictive models multilevel logistic regression | The proportion of patients with heart attacks treated with primary percutaneous coronary intervention (PCI) within 24 h The proportion of in-hospital deaths among patients treated for hearth attacks |
Sebastián et al [14] | 2017 | Sweden | Quantitative | The horizontal inequity index (HII) probit regression the concentration index | Socioeconomic indicator individual disposable income |
Shah et al [21] | 2015 | United States | Quantitative | multivariable analysis descriptive statistics logistic regression models | n/a |
Smithman et al [22] | 2018 | Canada | Quantitative | Social and material area deprivation indexes multiple logistic regression Pearson chi-squared test | n/a |
Vallières et al [23] | 2016 | Sierra Leone | Quantitative | Pearson Chi-Squared test | Maternal health child health sanitation |
Ward et al [24] | 2020 | India | Quantitative | survey-weighted logistic regression survey logistic regression wealth index Benjamini–Hochberg correction | Indicator categories: Reproductive Maternal Newborn Child health Nutrition NOTE: Indicators were relevant to interventions across the continuum of care and health disparities. For each continuum of care domain, researchers also classified the indicators by delivery platform |