Quality improvement in population health systems

Why Competency Standardization Matters for Improvement: An Assessment of the Healthcare Quality Workforce

ABSTRACT

Healthcare transformation requires a healthcare quality workforce with the requisite expertise to lead, oversee, and implement positive change within healthcare organizations. The National Association for Healthcare Quality (NAHQ) Competency Framework, which spans 29 competencies across 8 domains of healthcare quality, outlines the specific knowledge and skills needed to advance personal and organizational quality goals. This study describes 1,671 responses to the NAHQ Professional Assessment survey from a diverse group of healthcare quality professionals representative of NAHQ's professional community. Results show that two-thirds of respondents indicated they are working in 4 or more competency domains, with 85% reporting working in Performance and Process Improvement. Results also indicate that individuals who hold the Certified Professional in Healthcare Quality (CPHQ) certification perform work at more advanced levels across all eight domains of the competency framework. This was statistically significant for 13 of the 29 competencies including all three competency statements within the Performance and Process Improvement domain. Healthcare organizations need a workforce with specialized quality and safety expertise to advance quality goals, and this study suggests that those who invest in continued professional development by attaining the CPHQ certification may be better positioned to contribute meaningfully to advance these goals and improve organizational outcomes.

Using control charts to understand community variation in COVID-19

Decision-makers need signals for action as the coronavirus disease 2019 (COVID-19) pandemic progresses. Our aim was to demonstrate a novel use of statistical process control to provide timely and interpretable displays of COVID-19 data that inform local mitigation and containment strategies. Healthcare and other industries use statistical process control to study variation and disaggregate data for purposes of understanding behavior of processes and systems and intervening on them. We developed control charts at the county and city/neighborhood level within one state (California) to illustrate their potential value for decision-makers. We found that COVID-19 rates vary by region and subregion, with periods of exponential and non-exponential growth and decline. Such disaggregation provides granularity that decision-makers can use to respond to the pandemic. The annotated time series presentation connects events and policies with observed data that may help mobilize and direct the actions of residents and other stakeholders. Policy-makers and communities require access to relevant, accurate data to respond to the evolving COVID-19 pandemic. Control charts could prove valuable given their potential ease of use and interpretability in real-time decision-making and for communication about the pandemic at a meaningful level for communities.