The Role of Human-Centered Design in Healthcare Innovation: a Digital Health Equity Case Study.

Healthcare delivery has become more complicated, particularly with the addition of digital tools and advanced technologies that can further exacerbate existing disparities. New approaches to solve complex, multi-faceted problems are needed. Human-centered design (HCD), also known as design thinking, is an innovative set of methods to develop solutions to these types of issues using collaborative, team-based, and empathetic approaches focused on end user experiences. Originally advanced in technology sectors, HCD has garnered growing attention in quality improvement, healthcare redesign, and public health and medical education. During the COVID-19 pandemic, our healthcare organization recognized notable differences in utilization of virtual (video-based) services among specific patient populations. In response, we mobilized, and using HCD, we collectively brainstormed ideas, rapidly developed prototypes, and iteratively adapted solutions to work toward addressing this digital divide and clinic and systems-level struggles with improving and maintaining digital health access. HCD approaches create a cohesive team-based structure that permits the dismantling of organizational hierarchies and departmental silos. Here we share lessons learned on implementing HCD into clinical care settings and how HCD can result in the development of site-specific, patient-centered innovations to address access disparities and to improve digital health equity.

Lessons Learned From Applying a Monitoring and Evaluation Framework to Economic, Social, and Other Health Impacts of the COVID-19 Pandemic.

Individual and community-level COVID-19 mitigation policies can have effects beyond direct COVID-19 health outcomes, including social, behavioral, and economic outcomes. These social, behavioral, and economic outcomes can extend beyond the pandemic period and have disparate effects on populations. Public Health-Seattle & King County (PHSKC) built on the Centers for Disease Control and Prevention's community mitigation strategy framework to create a local project tracking near-real-time data to understand factors affected by mitigation approaches, inform decision-making, and monitor and evaluate community-level disparities during the pandemic. This case study describes the framework and lessons learned from PHSKC's collation, use, and dissemination of local data from 20 data sources to guide community and public health decision-making. Social, behavioral, economic, and health indicators were regularly updated and disseminated through interactive dashboards and products that examined data in the context of applicable policies. Data disaggregated by demographic characteristics and geography highlighted inequities, but not all datasets contained the same details; local surveys or qualitative data were used to fill gaps. Project outcomes included informing city and county emergency response planning related to implementation of financial and food assistance programs. Key lessons learned included the need to (1) build on existing processes and use automated processes and (2) partner with other sectors to use nontraditional public health data for active dissemination and data disaggregation and for real-time data contextualized by policy changes. This project provided programs and communities with timely, reliable data to understand where to invest recovery funding. A similar framework could position other health departments to examine social and economic effects during future public health emergencies.

Social, Economic and Overall Health Impacts of COVID-19 on People Living with Disabilities in King County, WA.

The COVID-19 pandemic and the associated mitigation measures to reduce the spread of disease affected the social, economic, and overall health of individuals. Quantitative administrative datasets typically did not contain demographic information that allowed for reporting or analysis of the impacts of COVID-19 on people living with disabilities. Understanding the experiences of this population during the pandemic can inform the design of public health responses that are more robust and better connected to community. This paper describes a qualitative participatory study with a diverse sample of people living with disabilities in King County, WA. Through 2 listening sessions and 35 semi-structured interviews, it examines what impacts COVID-19 brought for people living with disabilities; elucidates the supports that were helpful in addressing COVID-19 impacts; examines inequities faced by the disability community; and sheds light on how to engage with this community to inform the public health emergency response. The process, protocols, findings, and lessons learned are replicable by other local health departments and could be incorporated as part of routine data collection and considered for future public health emergencies.

Cross-Sector Monitoring and Evaluation Framework: Social, Economic, and Health Conditions Impacted During the COVID-19 Pandemic.

Public Health 3.0 approaches are critical for monitoring disparities in economic, social, and overall health impacts following the COVID-19 pandemic and its associated policy changes to slow community spread. Timely, cross-sector data as identified using this approach help decisionmakers identify changes, track racial disparities, and address unintended consequences during a pandemic. We applied a monitoring and evaluation framework that combined policy changes with timely, relevant cross-sector data and community review. Indicators covered unemployment, basic needs, family violence, education, childcare, access to health care, and mental, physical, and behavioral health. In response to increasing COVID-19 cases, nonpharmaceutical intervention strategies were implemented in March 2020 in King County, Washington. By December 2020, 554 000 unemployment claims were filed. Social service calls increased 100%, behavioral health crisis calls increased 25%, and domestic violence calls increased 25%, with disproportionate impact on communities of color. This framework can be replicated by local jurisdictions to inform and address racial inequities in ongoing COVID-19 mitigation and recovery. Cross-sector collaboration between public health and sectors addressing the social determinants of health are an essential first step to have an impact on long-standing racial inequities. (Am J Public Health. 2021;111(S3):S215-S223. https://doi.org/10.2105/AJPH.2021.306422).

Maternal Birthplace is Associated with Low Birth Weight Within Racial/Ethnic Groups.

Introduction While disparities in low birth weight (LBW) incidence by racial/ethnic group are well known, differences in LBW incidence by maternal birthplace within racial/ethnic groups, and particularly, differences after adjustment for pregnancy complications, are less clear. Methods We conducted a population-based study of LBW using 113,760 singleton, live birth records from King County, Washington (2008-2012), a region in the Pacific Northwest with a large immigrant population. Study participants were Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander (NHOPI), and non-Hispanic white women. Using multivariable logistic regression models, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) to estimate relative risk of LBW (<2500 g) related to maternal race/ethnicity and birthplace (defined by the Millennium Development Goals Regional Groupings). Results Compared with non-Hispanic white women, non-Hispanic black, Asian Indian, Filipino, Japanese, and Vietnamese women had 1.57-2.23-fold higher, statistically significant, risk of having a LBW infant, and NHOPI and Mexican women had 1.30-1.33-fold, statistically significant, higher risk. LBW risk was lower for Asian women from Eastern Asia (OR 0.68, 95% CI 0.55-0.85), non-Hispanic black women from Sub-Saharan Africa (OR 0.58, 95% CI 0.47-0.73), and non-Hispanic white women from other developed countries (OR 0.83, 95% CI 0.69-1.00), as compared with their US-born racial/ethnic counterparts. Results were, in general, similar after adjustment for pregnancy complications. Conclusions Compared with most other racial/ethnic groups, non-Hispanic whites had lower risk of LBW. Foreign-born women had lower risk of LBW compared with their US-born counterparts in the majority of racial/ethnic groups. Pregnancy complications had minimal effect on the associations.

Education and support needs in patients with head and neck cancer: A multi-institutional survey.

BACKGROUND: Head and neck cancer (HNC) encompasses a diverse group of tumors, and thus providing appropriate and tailored information to patients before, during, and after treatment is a challenge. The objective of the current study was to characterize the experience and unmet needs of patients with HNC with regard to information and support provision. METHODS: A 28-question, cross-sectional survey was completed by patients treated for HNC at 1 of 4 institutions in New South Wales, Australia (Chris O'Brien Lifehouse and Liverpool, Westmead, and Wollongong hospitals). It consisted of the adapted Kessler Psychological Distress Scale and questions assessing information quality, quantity, and format. RESULTS: A total of 597 patients responded. The mean age of the patients was 58 years (range, 21-94 years) with 284 men and 313 women (1:1.1). The majority of patients reported information concerning the disease process (76%), prognosis (67%), and treatment (77%) was sufficient, and approximately 50% reporting having received little or no information regarding coping with stress and anxiety. A substantial percentage of patients reported receiving minimal information concerning psychosexual health (56%) or the availability of patient support groups (56%). The majority of patients preferred access to multiple modes of information delivery (72%), with the preferred modality being one-on-one meetings with a health educator (37%) followed by internet-based written information (19%). CONCLUSIONS: Patients with HNC are a diverse group, with complex educational and support needs. Patients appear to be given information regarding survivorship topics such as psychological well-being, patient support groups, and psychosexual health less frequently than information concerning disease and treatment. Verbal communication needs to be reinforced by accessible, well-constructed, written and multimedia resources appropriate to the patient's educational level. Cancer 2017;123:1949-1957. © 2017 American Cancer Society.

Assessing the health benefits of air pollution reduction for children.

Benefit-cost analyses of environmental regulations are increasingly mandated in the United States. Evaluations of criteria air pollutants have focused on benefits and costs associated with adverse health effects. Children are significantly affected by the health benefits of improved air quality, yet key environmental health policy analyses have not previously focused specifically on children's effects. In this article we present a "meta-analysis" approach to child-specific health impacts derived from the U.S. Clean Air Act (CAA). On the basis of data from existing studies, reductions in criteria air pollutants predicted to occur by 2010 because of CAA regulations are estimated to produce the following impacts: 200 fewer expected cases of postneonatal mortality; 10,000 fewer asthma hospitalizations in children 1-16 years old, with estimated benefits ranging from 20 million U.S. dollars to 46 million U.S. dollars (1990 U.S. dollars); 40,000 fewer emergency department visits in children 1-16 years old, with estimated benefits ranging from 1.3 million U.S. dollars to 5.8 million U.S. dollars; 20 million school absences avoided by children 6-11 years old, with estimated benefits of 0.7-1.8 billion U.S. dollars; and 10,000 fewer infants of low birth weight, with estimated benefits of 230 million U.S. dollars. Inclusion of limited child-specific data on hospitalizations, emergency department visits, school absences, and low birth weight could be expected to add 1-2 billion U.S. dollars (1990 U.S. dollars) to the 8 billion U.S. dollars in health benefits currently estimated to result from decreased morbidity, and 600 million U.S. dollars to the 100 billion U.S. dollars estimated to result from decreased mortality. These estimates highlight the need for increased consideration of children's health effects. Key needs for environmental health policy analyses include improved information for children's health effects, additional life-stage-specific information, and improved health economics information specific for children.