Schneider, A;
Cabral, C;
Herd, N;
Hay, A;
Kesten, JM;
Anderson, E;
Lane, I;
... Michie, S; + view all
(2019)
Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections.
Annals of Family Medicine
, 17
(3)
pp. 239-249.
10.1370/afm.2392.
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Abstract
PURPOSE: The aim of this study was to evaluate a theory and evidence-based, parent-targeted online intervention, combining microbiological local syndromic surveillance data, symptom information, and home-care advice, to reduce primary care attendance for self-limiting, low-risk pediatric respiratory tract infections (RTIs). METHODS: The effect of this novel intervention on primary care attendance intentions was evaluated in an online experimental study. A representative sample of mothers (n = 806) was randomly assigned to receive the intervention material before (intervention) or after (control) answering questions concerning attendance intentions for an RTI illness scenario and mediating factors. Both groups provided feedback on the material. Group comparisons, linear regression, and path analyses were conducted. RESULTS: Intervention participants reported lower attendance intentions compared with control participants (d = 0.69, 95% CI, 0.55-0.83), an effect that remained when controlling for demographic and clinical characteristics (B = −1.62, 95% CI, −1.97 to −1.30). The path model highlighted that the intervention effect (B = −0.33, 95% CI, −0.40 to −0.26) was mostly indirect and mediated by infection and antibiotic knowledge, symptom severity concerns, and social norm perceptions concerning attendance. Information on when to attend was rated as the most important intervention component 227 times, followed by symptoms rated 186 times. Information on circulating viruses was rated as least important 274 times. CONCLUSIONS: The intervention was effective in reducing primary care attendance intentions by increasing knowledge, lowering attendance motivation, and reducing the need for additional resources. The contribution of individual intervention components and effects on behavioral outcomes requires further testing.
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