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Coronavirus disease 2019 laid bare the gaps in our health systems. Isolation and discoordination of both individuals and systems, inequities at local and global scales, and false choices between our prosperity and our health, all exacerbated the crisis. To build a better "normal" and not just a new one, health care should employ the approach of targeted universalism, which demonstrates that we can often get to universally held societal objectives by using targeted strategies that help provide an advantage to those that have been systematically disadvantaged. The goal is universal, but achieving it requires multiple strategies that target the needs of various groups to help them share in the universal goal. This approach is perhaps most easily understood, and most urgently needed, in the context of improving health equity. Using targeted strategies to permanently remake our health systems will honor the lives of those we lost far too early., (Copyright © 2021 the American College of Medical Quality.)

Background: This project engaged teams from Federally Qualified Health Centers (FQHCs) in a quality improvement (QI) collaborative to improve clinical flow (increase quality and efficiency of operations), using a novel combination of Breakthrough Series Collaborative tools with Project ECHO's telementoring model. This mixed methods study describes the collaborative and evaluates its success in generating improvement and developing QI capacity at participating FQHCs., Methods: The 18-month collaborative used three in-person/virtual learning session workshops and weekly telementoring sessions with brief lectures and case-based learning. Participants engaged in QI work (for example, PDSAs [Plan-Do-Study-Act]) and tracked data for 10 care system measures to evaluate progress. These data were averaged across consistently reporting sites for standard run chart analysis. Semistructured interviews assessed the effectiveness and value of the approach for participants., Results: Fifteen sites across the United States participated for one year (Cohort 1); 10 sites continued to 18 months (Cohort 2). Cohort 2 evidenced improvement for 6 measures: Patient/Family Experience, Patient Time Valued, Empanelment, Cycle Time, Colorectal Cancer Screening Rate, and Third Next Available Appointment. Progress varied across sites and measures. Participant interviews indicated value from both in-person and virtual activities, increased QI knowledge, and professional growth, as well as challenges when participants lacked time, engagement, leadership support, and consistent and committed staff., Conclusion: This novel collaborative structure is promising. Evidence indicates progress in building QI capacity and improving processes and patient experience across participating FQHCs. Future iterations should address barriers to improvement identified here. Additional work is needed to compare the efficacy of this approach to other collaborative modes., (Copyright © 2020 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

Background: Healthcare cost management strategies are limited in number and resource intensive. Budget constraints in the National Health Service Scotland (NHS Scotland) apply pressure on regional health boards to improve efficiency while preserving quality., Methods: We developed a technical method to assist health systems to reduce operating costs, called continuous value management (CVM). Derived from lean accounting and employing quality improvement (QI) methods, the approach allows for management to reduce or repurpose resources to improve efficiency. The primary outcome measure was the cost per patient admitted to the ward in British pounds (£)., Interventions: The first step of CVM is developing a standard care model. Teams then track system performance weekly using a tool called the 'box score', and improve performance using QI methods with results displayed on a visual management board. A 29-bed inpatient respiratory ward in a mid-sized hospital in NHS Scotland pilot tested the method., Results: We included 5806 patients between October 2016 and May 2018. During the 18-month pilot, the ward realised a 21.8% reduction in cost per patient admitted to the ward (from an initial average level of £807.70 to £631.50 as a new average applying Shewhart control chart rules, p<0.0001), and agency nursing spend decreased by 30.8%. The ward realised a 28.9% increase in the number of patients admitted to the ward per week. Other quality measures (eg, staff satisfaction) were sustained or improved., Conclusion: CVM methods reduced the cost of care while improving quality. Most of the reduction came by way of reduced bank nursing spend. Work is under way to further test CVM and understand leadership behaviours supporting scale-up., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Safe and effective care of older adults is a crucial issue given the rapid growth of the aging demographic, many of whom have complex health and social needs. At the same time, the health care delivery environment is rapidly changing, offering a new set of opportunities to improve care of older adults. We describe the background, evidence-based changes, and testing, scale-up, and spread strategy that are part of the design of the Creating Age-Friendly Health Systems initiative. The goal is to reach 20% of U.S. hospitals and health systems by 2020, with plans to reach additional hospitals and health systems in subsequent years., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The unprecedented changes happening in the American healthcare system have many on high alert as they try to anticipate legislative actions. Significant efforts to move from volume to value, along with changing incentives and alternative payment models, will affect practice and the health system budget. In tandem, growth in the population aged 65 and older is celebratory and daunting. The John A. Hartford Foundation is partnering with the Institute for Healthcare Improvement to envision an age-friendly health system of the future. Our current prototyping for new ways of addressing the complex and interrelated needs of older adults provides great promise for a more-effective, patient-directed, safer healthcare system. Proactive models that address potential health needs, prevent avoidable harms, and improve care of people with complex needs are essential. The robust engagement of family caregivers, along with an appreciation for the value of excellent communication across care settings, is at the heart of our work. Five early-adopter health systems are testing the prototypes with continuous improvement efforts that will streamline and enhance our approach to geriatric care., (© 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.)

Patients are often reluctant to assert their interests in the presence of clinicians, whom they see as experts. The higher the stakes of a health decision, the more entrenched the socially sanctioned roles of patient and clinician can become. As a result, many patients are susceptible to "hostage bargaining syndrome" (HBS), whereby they behave as if negotiating for their health from a position of fear and confusion. It may manifest as understating a concern, asking for less than what is desired or needed, or even remaining silent against one's better judgment. When HBS persists and escalates, a patient may succumb to learned helplessness, making his or her authentic involvement in shared decision making almost impossible. To subvert HBS and prevent learned helplessness, clinicians must aim to be sensitive to the power imbalance inherent in the clinician-patient relationship. They should then actively and mindfully pursue shared decision making by helping patients trust that it is safe to communicate their concerns and priorities, ask questions about the available clinical options, and contribute knowledge of self to clinical decisions about their care. Hostage bargaining syndrome is an insidious psychosocial dynamic that can compromise quality of care, but clinicians often have the power to arrest it and reverse it by appreciating, paradoxically, how patients' perceptions of their power as experts play a central role in the care they provide., (Copyright © 2017 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Background: Adverse event (AE) detection in healthcare has traditionally relied upon several methods including: patient care documentation review, mortality and morbidity review, voluntary reporting, direct observation and complaint systems. A novel sampling strategy, known as the trigger tool (TT) methodology, has been shown to provide a more robust and valid method of detection. The aim of this research was to develop and assess a TT specific to ground-based Emergency Medical Services, to identify cases with the potential risk for adverse events and harm., Methods: The study was conducted between March and December 2015. A literature review identified 57 potential triggers, which were grouped together by experts using an affinity process. Triggers for other areas of potential AE/harm were additionally considered for inclusion. An interim TT consisting of nine triggers underwent five iterative rounds of derivation tests of 20 random patient care records (n=100) in two emergency medical services. A final eight-item trigger list underwent a large sample (n=9836) assessment of test characteristics., Results: The final eight-item TT consisted of triggers divided amongst four categories: Clinical , Medication , Procedural and Return-Call . The TT demonstrated an AE identification rate of 41.5% (sensitivity 79.8% (95% CI, 69.9% to 87.6%); specificity 58.5% (95% CI, 52% to 64.8%)). When identifying potential risk for harm, the TT demonstrated a harm identification rate of 19.3% (sensitivity 97.1% (95% CI, 84.7% to 99.9%); specificity 53.5% (95% CI, 47.7% to 59.3%))., Discussion: The Emergency Medical Services Trigger Tool (EMSTT) may be used as a sampling strategy similar to the Global Trigger Tool, to identify and measure AE and harm over time, and monitor the success of improvement initiatives within the Emergency Medical Services setting., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Trainees, as frontline providers who are acutely aware of quality improvement (QI) opportunities and patient safety (PS) issues, are key partners in achieving institutional quality and safety goals. However, as academic medical centers accelerate their initiatives to prioritize QI and PS, trainees have not always been engaged in these efforts. This article describes the development of an organizing framework with three suggested models of varying scopes and time horizons to effectively involve trainees in the quality and safety work of their training institutions. The proposed models, which were developed through a literature review, expert interviews with key stakeholders, and iterative testing, are (1) short-term, team-based, rapid-cycle initiatives; (2) medium-term, unit-based initiatives; and (3) long-term, health-system-wide initiatives. For each, the authors describe the objective, scope, duration, role of faculty leaders, steps for implementation in the clinical setting, pros and cons, and examples in the clinical setting. There are many barriers to designing the ideal training environments that fully engage trainees in QI/PS efforts, including lack of protected time for faculty mentors, time restrictions due to rotation-based training, and structural challenges. However, one of the most promising strategies for overcoming these barriers is integrating QI/PS principles into routine clinical care. These models provide opportunities for trainees to successfully learn and apply quality and safety principles to routine clinical care at the team, unit, and system level.

There is considerable interest in ideas borrowed from education about "flipping the classroom" and how they might be applied to "flipping" aspects of health care to reach the Triple Aim of improved health outcomes, improved experience of care, and reduced costs. There are few real-life case studies of "flipping health care" in practice at the individual patient level. This article describes the experience of one of the authors as he experienced having to "flip" his primary health care. We describe seven inverted practices in his care, report outcomes of this experiment, describe the enabling factors, and derive lessons for patient-centered primary care redesign., (Copyright © 2014 Elsevier Inc. All rights reserved.)

As many low- and middle-income countries (LMICs) pursue health care reforms in order to achieve universal health coverage (UHC), development of national accreditation systems has become an increasingly common quality-enhancing strategy endorsed by payers, including Ministries of Health. This article describes the major considerations for health system leaders in developing and implementing a sustainable and successful national accreditation program, using the 20-year evolution of the Thai health care accreditation system as a model. The authors illustrate the interface between accreditation as a continuous quality improvement strategy, health insurance and other health financing schemes, and the overall goal of achieving universal health coverage.

The growth of accreditation programs in low- and middle-income countries (LMICs) provides important examples of innovations in leadership, governance and mission which could be adopted in developed countries. While these accreditation programs in LMICs follow the basic structure and process of accreditation systems in the developed world, with written standards and an evaluation by independent surveyors, they differ in important ways. Their focus is primarily on improving overall care country-wide while supporting the weakest facilities. In the developed world accreditation efforts tend to focus on identifying the best institutions as those are typically the only ones who can meet stringent and difficult evaluative criteria. The Joint Learning Network for Universal Health Coverage (JLN), is an initiative launched in 2010 that enables policymakers aiming for UHC to learn from each other's successes and failures. The JLN is primarily comprised of countries in the midst of implementing complex health financing reforms that involve an independent purchasing agency that buys care from a mix of public and private providers [Lancet 380: 933-943, 2012]. One of the concerns for participating countries has been how to preserve or improve quality during rapid expansion in coverage. Accreditation is one important mechanism available to countries to preserve or improve quality that is in common use in many LMICs today. This paper describes the results of a meeting of the JLN countries held in Bangkok in April of 2013, at which the current state of accreditation programs was discussed. During that meeting, a number of innovative approaches to accreditation in LMICs were identified, many of which, if adopted more broadly, might enhance health care quality and patient safety in the developed world.

Objective: New approaches are needed to evaluate quality improvement (QI) within large-scale public health efforts. This case report details challenges to large-scale QI evaluation, and proposes solutions relying on adaptive study design., Study Design: We used two sequential evaluative methods to study a QI effort to improve delivery of HIV preventive care in public health facilities in three districts in KwaZulu-Natal, South Africa, over a 3-year period. We initially used a cluster randomised controlled trial (RCT) design., Principal Findings: During the RCT study period, tensions arose between intervention implementation and evaluation design due to loss of integrity of the randomisation unit over time, pressure to implement changes across the randomisation unit boundaries, and use of administrative rather than functional structures for the randomisation. In response to this loss of design integrity, we switched to a more flexible intervention design and a mixed-methods quasiexperimental evaluation relying on both a qualitative analysis and an interrupted time series quantitative analysis., Conclusions: Cluster RCT designs may not be optimal for evaluating complex interventions to improve implementation in uncontrolled 'real world' settings. More flexible, context-sensitive evaluation designs offer a better balance of the need to adjust the intervention during the evaluation to meet implementation challenges while providing the data required to evaluate effectiveness. Our case study involved HIV care in a resource-limited setting, but these issues likely apply to complex improvement interventions in other settings.

Purpose: Low- and middle-income countries are increasingly pursuing health financing reforms aimed at achieving universal health coverage. As these countries rapidly expand access to care, overburdened health systems may fail to deliver high-quality care, resulting in poor health outcomes. Public insurers responsible for financing coverage expansions have the financial leverage to influence the quality of care and can benefit from guidance to execute a cohesive health-care quality strategy., Data Sources: and selection Following a literature review, we used a cascading expert consultation and validation process to develop a conceptual framework for insurance-driven quality improvements in health care., Results of Data Synthesis: The framework presents the strategies available to insurers to influence the quality of care within three domains: ensuring a basic standard of quality, motivating providers and professionals to improve, and activating patient and public demand for quality. By being sensitive to the local context, building will among key stakeholders and selecting context-appropriate ideas for improvement, insurers can influence the quality through four possible mechanisms: selective contracting; provider payment systems; benefit package design and investments in systems, patients and providers., Conclusion: This framework is a resource for public insurers that are responsible for rapidly expanding access to care, as it places the mechanisms that insurers directly control within the context of broader strategies of improving health-care quality. The framework bridges the existing gap in the literature between broad frameworks for strategy design for system improvement and narrower discussions of the technical methods by which payers directly influence the quality.

Unlabelled: QUALITY PROBLEM AND ASSESSMENT: In South Africa (SA), non-governmental organizations (NGOs) have a major role in the provision of health services, but they often compete for funding and influence rather than collaborate. The National Department of Health (NDOH) sought to coordinate existing non-governmental organizations (NGOs) to optimize the prevention of mother-to-child HIV transmission (PMTCT) at scale., Solution: We describe how a group of NGO and government partners were brought together to jointly develop the 'Accelerated Plan' (A-Plan) to improve PMTCT services at health-care facilities in SA. The A-Plan used four main principles of large-scale change to align the network of NGO partners and NDOH: setting targets and improving data, simplifying processes and facilitating local execution, building networks and enabling coordination., Implementation: In the first 6 months of the project, six NGO partners were engaged and the program reached 161 facilities. The program spontaneously spread from five planned subdistricts to nine subdistricts and produced a package of tested interventions to assist in scale-up of the PMTCT program elsewhere., Evaluation: Districts reported high levels of provider engagement in the initiative. In the 6-month project period, a total of 676 health-care workers and managers were trained in quality improvement methods and tools. Coverage of seven key processes in the PMTCT program was tracked on a monthly basis within each subdistrict., Lessons Learned: We found that a network model for the A-plan could successfully recruit key stakeholders into a strong partnership leading to rapid scale-up of a life-saving public health intervention.

Background: In 2010, WHO guidelines modified eligibility criteria for persons living with HIV to start on lifelong antiretroviral therapy. Pregnant HIV-infected women were identified as a priority group. Yet, despite the availability of key resources and medications, antiretroviral treatment rates for pregnant women in South Africa remained low., Methods: A prospective, nonrandomized, controlled study to evaluate the impact of a campaign approach among health workers to improve referral and initiation rates of antiretroviral therapy for eligible pregnant HIV-infected women in 2 matched districts in KwaZulu-Natal Province., Results: The average number of referrals of pregnant women for antiretroviral therapy increased from 79 per month (95% confidence interval [CI]: 69 to 89) at baseline to 188 per month (95% CI: 167 to 209) 6 months after the intervention (P < 0.001). Similarly, the number of pregnant women initiated on antiretroviral therapy increased from 21 per month (95% CI: 2 to 40) at baseline to 124 per month (95% CI: 108 to 140) after the intervention (P < 0.001). Unlike in the control district, where no improvements were seen, the intervention district showed a greater than 4-fold increase in women initiated on antiretroviral therapy., Conclusion: A targeted campaign among health workers can accelerate access to antiretroviral therapy for pregnant HIV-infected women.

Background. Despite the availability of rapid diagnostic tests and inexpensive treatment for pregnant women, maternal-child syphilis transmission remains a leading cause of perinatal morbidity and mortality in developing countries. In Haiti, more than 3000 babies are born with congenital syphilis annually. Methods and Findings. From 2007 to 2011, we used a sequential time series, multi-intervention study design in fourteen clinics throughout Haiti to improve syphilis testing and treatment in pregnancy. The two primary interventions were the introduction of a rapid point-of-care syphilis test and systems strengthening based on quality improvement (QI) methods. Syphilis testing increased from 91.5% prediagnostic test to 95.9% after (P < 0.001) and further increased to 96.8% (P < 0.001) after the QI intervention. Despite high rates of testing across all time periods, syphilis treatment lagged behind and only increased from 70.3% to 74.7% after the introduction of rapid tests (P = 0.27), but it improved significantly from 70.2% to 84.3% (P < 0.001) after the systems strengthening QI intervention. Conclusion. Both point-of-care diagnostic testing and health systems-based quality improvement interventions can improve the delivery of specific evidence-based healthcare interventions to prevent congenital syphilis at scale in Haiti. Improved treatment rates for syphilis were seen only after the use of systems-based quality improvement approaches.

Objectives: Reports of quality improvement (QI) research from low- and middle-income countries (LMICs) remain sparse in the scientific literature. The authors reviewed the published literature to describe the characteristics of such reports., Methods: The authors conducted a systematic search for QI research articles from LMICs catalogued in the PubMed databases prior to December 2011, complemented by recommendations from experts in the field. Articles were categorised based on bibliometric and research characteristics. Twenty papers were randomly selected for narrative analysis regarding strategies used to present the methods and results of interventions., Results: Seventy-six articles met the inclusion criteria. Publication rate accelerated over time, particularly among observational studies. Most studies did not use a concurrent control group; pre-/post-study designs were most common overall. Four papers were published in top-tier journals, 17 in journals at the top of their specialty and 20 in quality-specific journals. Among the papers selected for narrative analysis, four distinct components were observed in most: a description of the problem state, a description of the improvement processes and tools, a separate description of the interventions tested and a description of the evaluation methods., Discussion: The small number of articles identified by this review suggests that publication of QI research from LMICs remains challenging. However, recent increases in publication rates, especially among observational studies, may attest to greater interest in the topic among scientific audiences. Though the authors are not able to compare this sample with unpublished papers, the four components observed by them in the narrative analysis seem to strengthen QI research reports.

Introduction: The authors report on a health systems strengthening intervention using quality improvement (QI) methods at the subdistrict level to accelerate highly active antiretroviral treatment (HAART) initiation in South Africa., Methods: Using a phased scale-up design between August 2006 and November 2009, 14 primary healthcare clinics, one community health centre, one district hospital and one tertiary hospital in a subdistrict were recruited into a 'learning network' using QI methods to facilitate cross-facility learning/mentorship/support. Clinic teams consisting of nurses, counsellors, clerks and/or doctors set collective and individual performance targets, analysed their care systems using 'real-time' data feedback, and designed/implemented a set of simple changes to improve HIV testing and HAART initiation rates across the region., Data Analysis: Primary clinic data were used to measure HAART initiation rates (primary outcome) and HIV testing (secondary outcome). We analysed data variation/trends using an interrupted time series design. Logistic regression analysis was applied to examine trends in HAART initiation during the intervention phases., Results: Clinics in the learning network increased HIV testing by 301.8% from 891/month (SD=94.2) to 3580/month (SD=327.7) (p<0.0001). Monthly HAART initiations increased by 185.5% from 179/month (SD=17.22) to 511/month (SD=44.93) (p<0.0001). During the pilot (phase I), the monthly rate of HAART initiations increased by 3.6 patients. In the prototype collaborative (phase II), there was no acceleration in the rate of increase (3.3/month, p=0.92). Significant acceleration was observed in the rate of increase during the QI scale up (phase III) (10.1/month, p<0.001). The proportion of estimated need for HAART met in the region increased from 35.8% to 72.4% at a time of rapid population growth., Conclusion: A QI approach, using learning networks to teach simple data-driven methods for addressing system failures, with increased training and resource inputs, can assist districts to quickly reach universal coverage targets.

Recent experience in evaluating large-scale global health programmes has highlighted the need to consider contextual differences between sites implementing the same intervention. Traditional randomized controlled trials are ill-suited for this purpose, as they are designed to identify whether an intervention works, not how, when and why it works. In this paper we review several evaluation designs that attempt to account for contextual factors that contribute to intervention effectiveness. Using these designs as a base, we propose a set of principles that may help to capture information on context. Finally, we propose a tool, called a driver diagram, traditionally used in implementation that would allow evaluators to systematically monitor changing dynamics in project implementation and identify contextual variation across sites. We describe an implementation-related example from South Africa to underline the strengths of the tool. If used across multiple sites and multiple projects, the resulting driver diagrams could be pooled together to form a generalized theory for how, when and why a widely-used intervention works. Mechanisms similar to the driver diagram are urgently needed to complement existing evaluations of large-scale implementation efforts.

Background: Health systems that deliver prevention of mother to child transmission (PMTCT) services in low and middle income countries continue to underperform, resulting in thousands of unnecessary HIV infections of newborns each year. We used a combination of approaches to health systems strengthening to reduce transmission of HIV from mother to infant in a multi-facility public health system in South Africa., Methodology/principal Findings: All primary care sites and specialized birthing centers in a resource constrained sub-district of Cape Metro District, South Africa, were enrolled in a quality improvement (QI) programme. All pregnant women receiving antenatal, intrapartum and postnatal infant care in the sub-district between January 2006 and March 2009 were included in the intervention that had a prototype-innovation phase and a rapid spread phase. System changes were introduced to help frontline healthcare workers to identify and improve performance gaps at each step of the PMTCT pathway. Improvement was facilitated and spread through the use of a Breakthrough Series Collaborative that accelerated learning and the spread of successful changes. Protocol changes and additional resources were introduced by provincial and municipal government. The proportion of HIV-exposed infants testing positive declined from 7.6% to 5%. Key intermediate PMTCT processes improved (antenatal AZT increased from 74% to 86%, PMTCT clients on HAART at the time of labour increased from 10% to 25%, intrapartum AZT increased from 43% to 84%, and postnatal HIV testing from 79% to 95%) compared to baseline., Conclusions/significance: System improvement methods, protocol changes and addition/reallocation of resources contributed to improved PMTCT processes and outcomes in a resource constrained setting. The intervention requires a clear design, leadership buy-in, building local capacity to use systems improvement methods, and a reliable data system. A systems improvement approach offers a much needed approach to rapidly improve under-performing PMTCT implementation programmes at scale in sub-Saharan Africa.

Background: Recent changes to South Africa's prevention of mother-to-child transmission of HIV (PMTCT) guidelines have raised hope that the national goal of reducing perinatal HIV transmission rates to less than 5% can be attained. While programmatic efforts to reach this target are underway, obtaining complete and accurate data from clinical sites to track progress presents a major challenge. We assessed the completeness and accuracy of routine PMTCT data submitted to the district health information system (DHIS) in three districts of Kwazulu-Natal province, South Africa., Methodology/principal Findings: We surveyed the completeness and accuracy of data reported for six key PMTCT data elements between January and December 2007 from all 316 clinics and hospitals in three districts. Through visits to randomly selected sites, we reconstructed reports for the same six PMTCT data elements from clinic registers and assessed accuracy of the monthly reports previously submitted to the DHIS. Data elements were reported only 50.3% of the time and were "accurate" (i.e. within 10% of reconstructed values) 12.8% of the time. The data element "Antenatal Clients Tested for HIV" was the most accurate data element (i.e. consistent with the reconstructed value) 19.8% of the time, while "HIV PCR testing of baby born to HIV positive mother" was the least accurate with only 5.3% of clinics meeting the definition of accuracy., Conclusions/significance: Data collected and reported in the public health system across three large, high HIV-prevalence Districts was neither complete nor accurate enough to track process performance or outcomes for PMTCT care. Systematic data evaluation can determine the magnitude of the data reporting failure and guide site-specific improvements in data management. Solutions are currently being developed and tested to improve data quality.