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Shared decision-making in pediatrics: a national perspective
Alexander G Fiks1, A Russell Localio, Evaline A Alessandrini
1ediatric Research Consortium, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA. fiks@email.chop.edu
Insights
Children with ADHD or asthma experience less shared decision-making (SDM) when health is poor or clinicians are hard to reach. Improving communication can enhance SDM for better pediatric care.
Area of Science:
- Pediatric Health Outcomes
- Health Services Research
- Patient-Centered Care
Background:
- Shared decision-making (SDM) is crucial for pediatric care, particularly for chronic conditions like attention-deficit/hyperactivity disorder (ADHD) and asthma.
- Understanding factors influencing SDM is essential for improving healthcare experiences for children and families.
Purpose of the Study:
- To identify patterns of SDM in US children with ADHD or asthma.
- To determine associations between demographics, health status, or access to care and SDM.
Main Methods:
- Cross-sectional study using 2002-2006 Medical Expenditure Panel Survey data.
- Latent class models defined high SDM based on 7 survey items.
- Logistic regression and marginal standardization analyzed factors associated with SDM.
Main Results:
- 65% of households reported high SDM for both ADHD and asthma.
- Poor general health and behavioral impairment were associated with lower SDM.
- Difficulty contacting clinicians significantly reduced SDM for both conditions.
Conclusions:
- Children's health status and ease of clinician contact are key factors influencing SDM.
- Strategies to improve family-clinician communication may enhance SDM in pediatric care.
Objectives:
To identify patterns of shared decision-making (SDM) among a nationally representative sample of US children with attention-deficit/hyperactivity disorder (ADHD) or asthma and determine if demographics, health status, or access to care are associated with SDM.
Patients And Methods:
We performed a cross-sectional study of the 2002-2006 Medical Expenditure Panel Survey, which represents 2 million children with ADHD and 4 million children with asthma. The outcome, high SDM, was defined by using latent class models based on 7 Medical Expenditure Panel Survey items addressing aspects of SDM. We entered factors potentially associated with SDM into logistic regression models with high SDM as the outcome. Marginal standardization then described the standardized proportion of children's households with high SDM for each factor.
Results:
For both ADHD and asthma, 65% of children's households had high SDM. Those who reported poor general health for their children were 13% less likely to have high SDM for ADHD (64 vs 77%) and 8% less likely for asthma (62 vs 70%) when adjusting for other factors. Results for behavioral impairment were similar. Respondent demographic characteristics were not associated with SDM. Those with difficulty contacting their clinician by telephone were 26% (ADHD: 55 vs 81%) and 29% (asthma: 48 vs 77%) less likely to have high SDM than those without difficulty.
Conclusions:
These findings indicate that households of children who report greater impairment or difficulty contacting their clinician by telephone are less likely to fully participate in SDM. Future research should examine how strategies to foster ongoing communication between families and clinicians affect SDM.
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