Standardizing Postpartum Discharge Instructions With an Educational Video: A Quality Improvement Project
Notice bibliographique
Résumé
Background The World Health Organization (WHO) estimates that, in the United States, 1200 women annually experience perinatal events that prove fatal and 60,000 suffer complications that are near-fatal. Postpartum morbidity and mortality may be decreased by explicit patient education. At our institution, the maternal discharge education process was varied among providers. Of the available literature, most focus on maternal knowledge of pediatric concerns with a limited amount of studies looking at maternal postpartum health. Objective The objective of this quality improvement project is to standardize postpartum education with the use of a postpartum education video available on a bedside tablet in order to improve maternal perception and knowledge of postpartum warning signs. Methods This prospective cohort study was designed using a patient survey which was administered to evaluate the effectiveness of the maternal discharge education procedures in our institution. The baseline results were reviewed by a team of physicians and nurses. A 10-question survey was provided to patients following the birth of their first baby about maternal warning signs and complications after discharge from the hospital. A standardized discharge education video was created using information from ACOG and AWHONN. The video was made accessible on bedside tablet devices. Patients were able to indicate understanding or request clarification on the devices after review of the materials, and this was communicated from the tablets to the electronic health record. All postpartum nurses were trained on the video content and how to operate the tablets. Survey responses were collected via bedside tablets following implementation of the video and were compared with the baseline results. Educational information was available to patients after discharge from the hospital via a patient portal. Results Twenty-nine women were surveyed prior to implementation of the standardized educational video available on bedside tablets. After implementation, 50 women were surveyed. Comparison of the survey responses showed there was an increase in patient-reported knowledge and understanding in all 10 questions on the survey. Of those, 4 areas were statistically significant with P values <.05: when to call 911 (82.8% before and 98% after), when to call your doctor (75.9% before and 98.0% after), heavy vaginal bleeding (62.1% before and 87.8% after), and symptoms of acute blood loss (51.7% before and 83.7% after). Conclusions The implementation of a postpartum education video available to patients on bedside tablets improved and standardized workflow for routine postpartum care and discharge processes. Survey questions regarding patient knowledge and perception of when to call 911, when to call your doctor, heavy bleeding, and signs of acute blood loss were all noted to be statistically significant. The improved perception of postpartum warning signs after the educational video appears to be beneficial in patient education at this high volume OB institution. The establishment of this platform for education became a model for education in other hospital units using bedside tablets. The use of a multidisciplinary team to review, revise, and standardize the postpartum education program at our institution was well received and supported by nurses, providers, and ultimately patients.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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