Sustained Reduction in Health Disparities Achieved through Targeted Quality Improvement: One-Year Follow-up on a Three-Year Intervention

Closing the gap on healthcare quality for equity-deserving groups: a scoping review of equity-focused quality improvement interventions in medicine

INTRODUCTION

Quality improvement (QI) efforts are critical to promoting health equity and mitigating disparities in healthcare outcomes. Equity-focused QI (EF-QI) interventions address the unique needs of equity-deserving groups and the root causes of disparities. This scoping review aims to identify themes from EF-QI interventions that improve the health of equity-deserving groups, to serve as a resource for researchers embarking on QI.

METHODS

In adherence with Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines, several healthcare and medical databases were systematically searched from inception to December 2022. Primary studies that report results from EF-QI interventions in healthcare were included. Reviewers conducted screening and data extraction using Covidence. Inductive thematic analysis using NVivo identified key barriers to inform future EF-QI interventions.

RESULTS

Of 5,330 titles and abstracts screened, 36 articles were eligible for inclusion. They reported on EF-QI interventions across eight medical disciplines: primary care, obstetrics, psychiatry, paediatrics, oncology, cardiology, neurology and respirology. The most common focus was racialised communities (15/36; 42%). Barriers to EF-QI interventions included those at the provider level (training and supervision, time constraints) and institution level (funding and partnerships, infrastructure). The last theme critical to EF-QI interventions is sustainability. Only six (17%) interventions actively involved patient partners.

DISCUSSION

EF-QI interventions can be an effective tool for promoting health equity, but face numerous barriers to success. It is unclear whether the demonstrated barriers are intrinsic to the equity focus of the projects or can be generalised to all QI work. Researchers embarking on EF-QI work should engage patients, in addition to hospital and clinic leadership in the design process to secure funding and institutional support, improving sustainability. To the best of our knowledge, no review has synthesised the results of EF-QI interventions in healthcare. Further studies of EF-QI champions are required to better understand the barriers and how to overcome them.

Interpretation of coefficients in segmented regression for interrupted time series analyses

Background Segmented regression, a common model for interrupted time series (ITS) analysis, primarily utilizes two equation parametrizations. Interpretations of coefficients vary between the two segmented regression parametrizations, leading to occasional user misinterpretations. Methods To illustrate differences in coefficient interpretation between two common parametrizations of segmented regression in ITS analysis, we derived analytical results and present an illustration evaluating the impact of a smoking regulation policy in Italy using a publicly accessible dataset. Estimated coefficients and their standard errors were obtained using two commonly used parametrizations for segmented regression with continuous outcomes. We clarified coefficient interpretations and intervention effect calculations. Results Our investigation revealed that both parametrizations represent the same model. However, due to differences in parametrization, the immediate effect of the intervention is estimated differently under the two approaches. The key difference lies in the interpretation of the coefficient related to the binary indicator for intervention implementation, impacting the calculation of the immediate effect. Conclusions Two common parametrizations of segmented regression represent the same model but have different interpretations of a key coefficient. Researchers employing either parametrization should exercise caution when interpreting coefficients and calculating intervention effects.

Developing a National Set of Health Equity Indicators Using a Consensus Building Process

BACKGROUND

Considerable health inequities documented in Israel between communities, populations and regions, undermine the rights of all citizens to optimal health. The first step towards health equity is agreement on a set of national indicators, reflecting equity in healthcare provision and health outcomes, and allowing monitoring of the impact of interventions on the reduction of disparities. We describe the process of reaching a consensus on a defined set of national equity indicators.

METHODS

The study was conducted between January 2019 and June 2020, in a multistage design: (A) Identifying appropriate and available inequity measures via interviews with stakeholders. (B) Agreement on the screening criteria (public health importance; gap characteristics; potential for change; public interest) and relative weighting. (C) Constructing the consultation framework as an online, 3-round Delphi technique, with a range of experts recruited from the health, welfare and education sectors.

RESULTS

Participants were of diverse age, gender, geographic location, religion and ethnicity, and came from academia, healthcare provision, government ministries and patient representative groups. Thirty measures of inequity, presented to participants, represented the following domains: Health promotion (11 indicators), acute and chronic morbidity (11), life expectancy and mortality (2), health infrastructures and affordability of care (4), education and employment (2). Of the 77 individuals contacted, 75 (97%) expressed willingness to participate, and 55 (73%) completed all three scoring rounds. The leading ten indicators were: Diabetes care, childhood obesity, adult obesity, distribution of healthcare personnel, fatal childhood injuries, cigarette smoking, infant mortality, ability to afford care, access to psychotherapy and distribution of hospital beds. Agreement among raters, measured as intra-class correlation coefficient (ICC), was 0.75.

CONCLUSION

A diverse range of consultants reached a consensus on the most important national equity indicators, including both clinical and system indicators. Results should be used to guide governmental decision-making and inter-sectoral strategies, furthering the pursuit of a more equitable healthcare system.

National initiatives to promote quality of care and patient safety: achievements to date and challenges ahead

BACKGROUND

The quality of healthcare in Israel is considered "high", and this achievement is due to the structure and organization of the healthcare system. The goal of the present review is to describe the major achievements and challenges of quality improvement in the Israeli healthcare system. BODY: In recent years, the Ministry of Health has made major strides in increasing the public's access to comparative data on quality, finances and patient satisfaction. Several mechanisms at multiple levels help promote quality improvement and patient safety. These include legislation, financial incentives, and national programs for quality indicators, patient experience, patient safety, prevention and control of infection and accreditation. Over the years, improvements in quality indicators, infection prevention and patient satisfaction can be demonstrated, but other fields show little change, if at all. Challenges and barriers include reluctance by unions, inconsistent and unreliable flow of information, the fear of overpressure by management and the loss of autonomy by physicians, and doubts regarding "gaming" of data. Accreditation has its own challenges, such as the need to adjust it to local characteristics of the healthcare system, its high cost, and the limited evidence of its impact on quality. Lack of interest by leaders, lack of resources, burnout and compassion fatigue, are listed as challenges for improving patient experience.

CONCLUSION

Substantial efforts are being made in Israel to improve quality of care, based on the use of good data to understand what is working and what needs particular attention. Government and health care providers have the tools to continue to improve. However, several mechanisms for improving the quality of care, such as minimizing healthcare disparities, training for quality, and widespread implementation of the "choosing wisely" initiative, should be implemented more intensively and effectively.

Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review

BACKGROUND

When randomisation is not possible, interrupted time series (ITS) design has increasingly been advocated as a more robust design to evaluating health system quality improvement (QI) interventions given its ability to control for common biases in healthcare QI. However, there is a potential risk of producing misleading results when this rather robust design is not used appropriately. We performed a methodological systematic review of the literature to investigate the extent to which the use of ITS has followed best practice standards and recommendations in the evaluation of QI interventions.

METHODS

We searched multiple databases from inception to June 2018 to identify QI intervention studies that were evaluated using ITS. There was no restriction on date, language and participants. Data were synthesised narratively using appropriate descriptive statistics. The risk of bias for ITS studies was assessed using the Cochrane Effective Practice and Organisation of Care standard criteria. The systematic review protocol was registered in PROSPERO (registration number: CRD42018094427).

RESULTS

Of 4061 potential studies and 2028 unique records screened for inclusion, 120 eligible studies assessed eight QI strategies and were from 25 countries. Most studies were published since 2010 (86.7%), reported data using monthly interval (71.4%), used ITS without a control (81%) and modelled data using segmented regression (62.5%). Autocorrelation was considered in 55% of studies, seasonality in 20.8% and non-stationarity in 8.3%. Only 49.2% of studies specified the ITS impact model. The risk of bias was high or very high in 72.5% of included studies and did not change significantly over time.

CONCLUSIONS

The use of ITS in the evaluation of health system QI interventions has increased considerably over the past decade. However, variations in methodological considerations and reporting of ITS in QI remain a concern, warranting a need to develop and reinforce formal reporting guidelines to improve its application in the evaluation of health system QI interventions.

The "Waze" of Inequity Reduction Frameworks for Organizations: a Scoping Review

BACKGROUND

Different conceptual frameworks guide how an organization can change its policies and practices to make care and outcomes more equitable for patients, and how the organization itself can become more equitable. Nonetheless, healthcare organizations often struggle with implementing these frameworks.

OBJECTIVE

To assess what guidance frameworks for health equity provide for organizations implementing interventions to make care and outcomes more equitable.

STUDY DESIGN

Fourteen inequity frameworks from scoping literature review 2000-2017 that provided models for improving disparities in quality of care or outcomes were assessed. We analyzed how frameworks addressed key implementation factors: (1) outer and inner organizational contexts; (2) process of translating and implementing equity interventions throughout organizations; (3) organizational and patient outcomes; and (4) sustainability of change over time.

PARTICIPANTS

We conducted member check interviews with framework authors to verify our assessments.

KEY RESULTS

Frameworks stressed assessing the organization's outer context, such as population served, for tailoring change strategies. Inner context, such as existing organizational culture or readiness for change, was often not addressed. Most frameworks did not provide guidance on translation of equity across multiple organizational departments and levels. Recommended evaluation metrics focused mainly on patient outcomes, leaving organizational measures unassessed. Sustainability was not addressed by most frameworks.

CONCLUSIONS

Existing equity intervention frameworks often lack specific guidance for implementing organizational change. Future frameworks should assess inner organizational context to guide translation of programs across different organizational departments and levels and provide specific guidelines on institutionalization and sustainability of interventions.

Primary care networks and team effectiveness: the case of a large-scale quality improvement disparity reduction program

Documentation of primary care teams' involvement in disparity reduction efforts exists, yet little is known about how teams interact or perceive their effectiveness. We investigated how the social network and structural ties among primary-care-clinic team members relate to their perceived team effectiveness (TE), in a large-scale disparity reduction intervention in Israel's largest insurer and provider of services. A mixed-method design of Social Network Analysis and qualitative data collection was employed. 108 interviews with medical, nursing, and administrative teams of 26 clinics and their respective managerial units were performed and information on the organizational ties, analyzing density and centrality, collected. Pearson correlations examined association between network measures and perceived TE. Clinics with strong intra-clinic density and high clinic-subregional-management density were positively correlated with perceived TE. Clinic in-degree centrality was also positively associated with perceived TE. Qualitative analyses support these findings with teamwork emerging as a factor which can impede or facilitate teams' ability to design and implement disparity reduction interventions. The study demonstrates that in an organization-wide disparity reduction initiative, cohesive intra-network structure and close relations with mid-level management increase the likelihood that teams perceive themselves as possessing the skills and resources needed to lead and implement disparity reduction efforts. List of abbreviations Team Effectiveness (TE); Clalit Health Services (Clalit); Social Network Analysis (SNA); Quality Improvement (QI); National Health Care Collaborative (NHPC); Tampa Bay Community Cancer Network (TBCCN).

Healthcare disparities amongst vulnerable populations of Arabs and Jews in Israel

The complex nature of studying health and healthcare disparities in general, and in the context of the Israeli healthcare system in particular, is depicted in two recent IJHPR articles. The first examines Emergency Department (ED) waiting times in a tertiary children’s hospital and the second examines disparities in the health care for people with schizophrenia of an ethnic-national minority. Contrary to other Israeli studies on wide disparities in health and healthcare, these studies show no disparities -  ED waiting times did not differ among Arab and Jewish children and report no differences in performance of Hemoglobin A1C tests or in surgical interventions in patients with cardiovascular disease between Arabs and Jews with schizophrenia. Thus, the studies reflect areas of equitable health care delivery within the Israeli healthcare system.

Future studies should account for the fact that the phenomena of health and healthcare disparities is complex and should utilize rigorous methodologies to take into consideration the various factors that may affect the manifestation of differences amongst population groups. As a result, they may help detect disparities which may otherwise be missed.

Evaluating an organization-wide disparity reduction program: Understanding what works for whom and why

Background

Disparity-reduction programs have been shown to vary in the degree to which they achieve their goal; yet the causes of these variations is rarely studied. We investigated a broad-scale program in Israel’s largest health plan, aimed at reducing disparities in socially disadvantaged groups using a composite measure of seven health and health care indicators.

Methods

A realistic evaluation was conducted to evaluate the program in 26 clinics and their associated managerial levels. First, we performed interviews with key stakeholders and an ethnographic observation of a regional meeting to derive the underlying program theory. Next, semi-structured interviews with 109 clinic teams, subregional headquarters, and regional headquarters personnel were conducted. Social network analysis was performed to derive measures of team interrelations. Perceived team effectiveness (TE) and clinic characteristics were assessed to elicit contextual characteristics. Interventions implemented by clinics were identified from interviews and coded according to the mechanisms each clinic employed. Assessment of each clinic’s performance on the seven-indicator composite measure was conducted at baseline and after 3 years. Finally, we reviewed different context-mechanism-outcome (CMO) configurations to understand what works to reduce disparity, and under what circumstances.

Results

Clinics’ inner contextual characteristics varied in both network density and perceived TE. Successful CMO configurations included 1) highly dense clinic teams having high perceived TE, only a small gap to minimize, and employing a wide range of interventions; (2) clinics with a large gap to minimize with high clinic density and high perceived TE, focusing efforts on tailoring services to their enrollees; and (3) clinics having medium to low density and perceived TE, and strong middle-management support.

Conclusions

Clinics that achieved disparity reduction had high clinic density, close ties with middle management, and tailored interventions to the unique needs of the populations they serve.

Smoking increases the likelihood of Helicobacter pylori treatment failure

BACKGROUND AND AIMS

Data regarding the impact of smoking on the success of Helicobacter pylori (H. pylori) eradication are conflicting, partially due to the fact that sociodemographic status is associated with both smoking and H. pylori treatment success. We aimed to assess the effect of smoking on H. pylori eradication rates after controlling for sociodemographic confounders.

METHODS

Included were subjects aged 15 years or older, with a first time positive C¹³-urea breath test (C¹³-UBT) between 2007 to 2014, who underwent a second C¹³-UBT after receiving clarithromycin-based triple therapy. Data regarding age, gender, socioeconomic status (SES), smoking (current smokers or "never smoked"), and drug use were extracted from the Clalit health maintenance organization database.

RESULTS

Out of 120,914 subjects with a positive first time C¹³-UBT, 50,836 (42.0%) underwent a second C¹³-UBT test. After excluding former smokers, 48,130 remained who were eligible for analysis. The mean age was 44.3±18.2years, 69.2% were females, 87.8% were Jewish and 12.2% Arabs, 25.5% were current smokers. The overall eradication failure rates were 33.3%: 34.8% in current smokers and 32.8% in subjects who never smoked. In a multivariate analysis, eradication failure was positively associated with current smoking (Odds Ratio {OR} 1.15, 95% CI 1.10-1.20, p<0.001), female gender (OR 1.20, 95% CI 1.14-1.25, p<0.001) and a low socioeconomic status (OR 1.24, 95% CI 1.17-1.31, p<0.001).

CONCLUSIONS

After controlling for socio-demographic confounders, smoking was found to significantly increase the likelihood of unsuccessful first-line treatment for H. pylori infection.

Inequalities in non-communicable diseases between the major population groups in Israel: achievements and challenges

Israel is a high-income country with an advanced health system and universal health-care insurance. Overall, the health status has improved steadily over recent decades. We examined differences in morbidity, mortality, and risk factors for selected non-communicable diseases (NCDs) between subpopulation groups. Between 1975 and 2014, life expectancy in Israel steadily increased and is currently above the average life expectancy for the Organisation for Economic Co-operation and Development countries. Nevertheless, life expectancy has remained lower among Israeli Arabs than Israeli Jews, and this gap has recently widened. Age-adjusted mortality as a result of heart disease, stroke, or diabetes remains higher in Arabs, whereas age-adjusted incidence and mortality of cancer were higher among Jews. The prevalence of obesity and low physical activity in Israel is considerably higher among Arabs than Jews. Smoking prevalence is highest for Arab men and lowest for Arab women. Health inequalities are also evident by the indicators of socioeconomic position and in subpopulations, such as immigrants from the former Soviet Union, ultra-Orthodox Jews, and Bedouin Arabs. Despite universal health coverage and substantial improvements in the overall health of the Israeli population, substantial inequalities in NCDs persist. These differences might be explained, at least in part, by gaps in social determinants of health. The Ministry of Health has developed comprehensive programmes to reduce these inequalities between the major population groups. Sustained coordinated multisectoral efforts are needed to achieve a greater impact and to address other social inequalities.

Reducing inequity in primary care clinics treating low socioeconomic Jewish and Arab populations in Israel

Background

An organization-wide inequity-reduction quality improvement (QI) initiative was implemented in primary care clinics serving disadvantaged Arab and Jewish populations. Using the Chronic Care Model (CCM), this study investigated the types of interventions associated with success in inequity reduction.

Methods

Semi-structured interviews were conducted with 80 staff members from 26 target clinics, and information about intervention types was coded by CCM and clinical domains (e.g. diabetes, hypertension and lipid control; performance of mammography tests). Relationships between type and number of interventions implemented and inequity reduction were assessed.

Results

Target clinics implemented 454 different interventions, on average 17.5 interventions per clinic. Interventions focused on Decision support and Community linkages were positively correlated with improvement in the composite quality score (P < 0.05). Conversely, focusing on a specific clinical domain was not correlated with a higher quality score.

Conclusions

Focusing on training team members in selected QI topics and/or tailoring interventions to meet community needs was key to the interventions' success. Such findings, especially in light of the lack of association between QI and a focus on a specific clinical domain, support other calls for adopting a systems approach to achieving wide-scale inequity reduction.