MétaCan
Menu
Retour à la cohorte
Enregistrement W1588792047 · doi:10.1002/jhm.2403

Improving patient satisfaction: Timely feedback to specific physicians is essential for success

2015· letter· en· W1588792047 sur OpenAlexaboutno aff
Kevin J. O’Leary, Rachel Cyrus

Notice bibliographique

RevueJournal of Hospital Medicine · 2015
Typeletter
Langueen
DomaineHealth Professions
ThématiquePatient Satisfaction in Healthcare
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePatient satisfactionMEDLINEHospital medicineIntensive care medicineFamily medicineNursing

Résumé

récupéré en direct d'OpenAlex

Patient satisfaction has received increased attention in recent years, which we believe is well deserved and long overdue. Anyone who has been hospitalized, or has had a loved one hospitalized, can appreciate that there is room to improve the patient experience. Dedicating time and effort to improving the patient experience is consistent with our professional commitment to comfort, empathize, and partner with our patients. Though patient satisfaction itself is an outcome worthy of our attention, it is also positively associated with measures related to patient safety and clinical effectiveness. Moreover, patient satisfaction is the only publicly reported measure that represents the patient’s voice, and accounts for a substantial portion of the Centers for Medicare and Medicaid Services payment adjustments under the Hospital Value Based Purchasing Program. However, all healthcare professionals should understand some key fundamental issues related to the measurement of patient satisfaction. The survey from which data are publicly reported and used for hospital payment adjustment is the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, developed by the Agency for Healthcare Research and Quality. HCAHPS is sent to a random sample of 40% of hospitalized patients between 48 hours and 6 weeks after discharge. The HCAHPS survey uses ordinal response scales (eg, never, sometimes, usually, always) that generate highly skewed results toward favorable responses. Therefore, results are reported as the percent “top box” (ie, the percentage of responses in the most favorable category) rather than as a median score. The skewed distribution of results indicates that most patients are generally satisfied with care (ie, most respondents do not have an axe to grind), but also makes meaningful improvement difficult to achieve. Prior to public reporting and determination of effect on hospital payment, results are adjusted for mode of survey administration and patient mix. The same is not true when patient satisfaction data are used for internal purposes. Hospital leaders typically do not perform statistical adjustment and therefore need to be careful not to make “apples-to-oranges”–type comparisons. For example, obstetric patient satisfaction scores should not be compared to general medical patient satisfaction scores, as these populations tend to rate satisfaction differently. The HCAHPS survey questions are organized into domains of care, including satisfaction with nurses and satisfaction with doctors. Importantly, other healthcare team members may influence patients’ perception in these domains. For example, a patient responding to nurse communication questions may also reflect on experiences with patient care technicians, social workers, and therapists. A patient responding to physician communication questions might also reflect on experiences with advanced practice providers. A common mistake is the practice of attributing satisfaction with doctors to the individual who served as the discharge physician. Many readers have likely seen patient satisfaction reports broken out by discharge physician with the expectation that giving this information to individual physicians will serve as useful formative feedback. The reality is that patients see many doctors during a hospitalization. To illustrate this point, we analyzed data from 420 patients admitted to our nonteaching hospitalist service who had completed an HCAHPS survey in 2014. We found that the discharge hospitalist accounted for only 34% of all physician encounters. Furthermore, research has shown that patients’ experiences with specialist physicians also have a strong influence on their overall satisfaction with physicians. Having reliable patient satisfaction data on specific individuals would be a truly powerful formative assessment tool. In this issue of the Journal of Hospital Medicine, Banka and colleagues report on an impressive approach incorporating such a tool to give constructive feedback to physicians. Since 2006, the study site had administered surveys to hospitalized patients that assess their satisfaction with specific resident physicians. However, residency programs only reviewed the survey results with resident physicians about twice a year. The multifaceted intervention developed by Banka and colleagues included directly emailing the survey results to internal medicine resident physicians in real time while they were in service, a 1-hour conference on best communication practices, and a reward program in which 3 residents were *Address for correspondence and reprint requests: Kevin J. O’Leary, MD, Associate Professor of Medicine, Division of Hospital Medicine, Northwestern University Feinberg School of Medicine, 211 E. Ontario St., Chicago, IL 60611; Telephone: 312-926-5984; Fax: 312-926-4588; E-mail: keoleary@nmh.org

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,102
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,384
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of Hospital MedicineMême sujetPatient Satisfaction in HealthcareTravaux en français237 207