Journal of pediatric endocrinology & metabolism : JPEM · 2021
Development and assessment of a low-health-literacy, pictographic adrenal insufficiency action plan.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Reeves Patrick T, Packett Ashley C, Burklow Carolyn Sullivan, Echelmeyer Sofia, Larson Noelle S
Аннотация
OBJECTIVES: Adrenal insufficiency (AI) is an overall rare disorder characterized by the chronic need for pharmacotherapy to prevent threat to life. The Pediatric Endocrine Society has recommended the use of clinical action tools to improve patient education and help guide acute management of AI. We aimed to develop and assess an easy-to-use, patient-friendly, evidence-based, personalized pictogram-based adrenal insufficiency action plan (AIAP) to aid in the management of AI in children.
METHODS: Patients/caregivers (P/Cs) responded to surveys which measured the concepts of transparency, translucency, and recall in order to assess the pictograms. Readability was assessed using six formulas to generate a composite readability score. Quality was graded by P/Cs using the Consumer Information Rating Form (CIRF) (>80% rating considered acceptable). Understandability and actionability was assessed by medical librarians using the Patient Education Materials Assessment Tool-Printable (PEMAT-P) (>80% rating was acceptable). Suitability was evaluated by clinicians using the Suitability Assessment of Materials (SAM) instrument (>70% rating considered superior).
RESULTS: All pictograms met criteria for inclusion in the AIAP. Composite readability score=5.4 was consistent with a fifth-grade level. P/Cs (n=120) judged the AIAP to be of high quality with CIRF rating=85.2%. Three medical librarians rated the AIAP to have 100% understandability and 100% actionability. Thirty-three clinicians completing the SAM generated a suitability rating of 90.0%.
CONCLUSIONS: The AIAP visually highlights individualized care plan components to facilitate optimized preventative and acute AI care. Further investigation will determine if AIAP improves clinical outcomes for patients with AI.
METHODS: Patients/caregivers (P/Cs) responded to surveys which measured the concepts of transparency, translucency, and recall in order to assess the pictograms. Readability was assessed using six formulas to generate a composite readability score. Quality was graded by P/Cs using the Consumer Information Rating Form (CIRF) (>80% rating considered acceptable). Understandability and actionability was assessed by medical librarians using the Patient Education Materials Assessment Tool-Printable (PEMAT-P) (>80% rating was acceptable). Suitability was evaluated by clinicians using the Suitability Assessment of Materials (SAM) instrument (>70% rating considered superior).
RESULTS: All pictograms met criteria for inclusion in the AIAP. Composite readability score=5.4 was consistent with a fifth-grade level. P/Cs (n=120) judged the AIAP to be of high quality with CIRF rating=85.2%. Three medical librarians rated the AIAP to have 100% understandability and 100% actionability. Thirty-three clinicians completing the SAM generated a suitability rating of 90.0%.
CONCLUSIONS: The AIAP visually highlights individualized care plan components to facilitate optimized preventative and acute AI care. Further investigation will determine if AIAP improves clinical outcomes for patients with AI.