Families as a Cornerstone in 21st Century Public Health: Recommendations for Research, Education, Policy, and Practice

Translation and Cross-Cultural Validation of the Danish Version of the Family Health Scale-Long Form: A Psychometric Study

OBJECTIVES

The Family Health Scale is a new instrument for evaluating family health. The instrument is reported as valid and reliable in investigating family health among different types of adult family members. This study aimed to translate the Family Health Scale into Danish and investigate its validity and reliability in families with a family member affected by chronic or serious illness.

DATA SOURCES

Translation was performed through forward and backward bilingual practice consisting of 10 steps. A cross-sectional study included 406 participants, of whom 94 also participated in a follow-up study within 3 weeks for the test-retest. Content validity was examined by conducting cognitive interviews with nine family members. Internal consistency reliability was assessed using Cronbach α. The test-retest reliability was evaluated using intraclass correlation coefficients. Model fit was assessed using confirmatory factor analysis.

CONCLUSION

The Family Health Scale demonstrated good content validity and a moderate model fit. Both Internal consistency reliability and test-retest reliability were satisfying. Cronbach α ranged from 0.73 to 0.89, while the intraclass correlation coefficient value was 0.88. The confirmatory factor analysis estimated a satisfying model fit, with an acceptable root-mean-square error of 0.076 and a moderate comparative fit index of 0.794.

IMPLICATION FOR NURSING PRACTICE

The Family Health Scale instrument has the potential to identify vulnerable families or families affected by chronic or serious illnesses, such as cancer. The assessment tool can consequently be used to target interventions to promote family health and improve the health of both the individual and his/her family.

Addressing population health inequities: investing in the social determinants of health for children and families to advance child health equity

PURPOSE OF REVIEW

This review provides a critical assessment of recent pediatric population health research with a specific focus on child health equity. The review addresses: the role of the healthcare sector in addressing fundamental social drivers of health, challenges within healthcare organizations in addressing health-related social needs and the social determinants of health, and the rationale for incorporating race and racism in pediatric population health research and practice.

RECENT FINDINGS

The coronavirus disease 2019 pandemic brought greater attention to the disparities and inequities in American health and healthcare. In response to these stark inequities, many health systems are adopting efforts and initiatives to address social needs, social determinants of health, racism, and health equity. However, empirical evaluation detailing the effectiveness of these interventions and initiatives is limited.

SUMMARY

While attention to identifying social needs among pediatric populations is increasing, there is limited evidence regarding the effectiveness of these interventions in producing sustained reductions in health disparities. To advance child health equity, researchers should move beyond individual behavior modification and directly examine fundamental drivers of health inequities. These drivers include government and health policies as well as societal forces such as systemic racism.

From zero to thrive: A model of cross-system and cross-sector relational health to promote early childhood development across the child-serving ecosystem

Early relational health between caregivers and children is foundational for child health and well-being. Children and caregivers are also embedded within multiple systems and sectors, or a "child-serving ecosystem", that shapes child development. Although the COVID-19 pandemic has made this embeddedness abundantly clear, systems remain siloed and lack coordination. Fostering relational health amongst layers of this ecosystem may be a way to systematically support young children and families who are facing adversity. We integrate theory, examples, and empirical findings to develop a conceptual model informed by infant mental health and public health frameworks that illustrates how relational health across the child-serving ecosystem may promote child health and well-being at a population level. Our model articulates what relational health looks like across levels of this ecosystem from primary caregiver-child relationships, to secondary relationships between caregivers and child-serving systems, to tertiary relationships among systems that shape child outcomes directly and indirectly. We posit that positive relational health across levels is critical for promoting child health and well-being broadly. We provide examples of evidence-based approaches that address primary, secondary, and tertiary relational health, and suggest ways to promote relational health through cross-sector training and psychoeducation in the science of early development. This model conceptualizes relational health across the child-serving ecosystem and can serve as a template for promoting child health and well-being in the context of adversity.

Family Health Development in Life Course Research: A Scoping Review of Family Functioning Measures

BACKGROUND AND OBJECTIVES

Our objective is to identify common family functioning measurement tools and assess their compatibility with family-health development and life-course perspectives.

METHODS

Data sources include PubMed, ERIC, CINAHL, Families and Societies Worldwide, PsychInfo, Web of Science, PsychNet, and Health and Psychosocial Instruments. Title and abstract screening and full-text review of articles were conducted by multiple reviewers based on prespecified inclusion criteria. Data extraction focused on features of identified measurements tools, including: (1) name (2) domains of family functioning measured, (3) established psychometric properties, and (4) original context of psychometric evaluation (eg, details about the study sample).

RESULTS

Of the 50 measurement tools identified, 94% measured organizational patterns (eg, flexibility, connectedness, or resources), 46% measured belief systems (eg, making meaning of adversity, or positive outlook), and 54% measured communication processes (eg, open emotional sharing, or collaborative problem-solving).

CONCLUSIONS

Existing measures of family functioning can aid life-course researchers in understanding family processes as contexts for health and well-being. There also remain opportunities to refine or develop measures of family functioning more compatible with a life-course perspective that assess family processes (1) at various life stages; (2) with various backgrounds, identities, structures, and experiences; and (3) embedded in or impacted by various contexts that may facilitate or hinder family functioning.