Table_1_Validation of French versions of the 15-item picker patient experience questionnaire for adults, teenagers, and children inpatients.pdf

ObjectivesNo French validated concise scales are available for measuring the experience of inpatients in pediatrics. This study aims to adapt the adult PPE-15 to a pediatric population, and translating it in French, as well as to establish reference values for adults, teenagers, and parents of young children.MethodsCultural adaptation involved forward and backward translations, along with pretests in all three populations. Dimensional structure and internal consistency were assessed using principal component analysis, exploratory factor analysis, and Cronbach's alpha. Construct validity was assessed by examining established associations between patient satisfaction and inpatient variables, including length of stay, and preventable readmission.ResultsA total of 25,626 adults, 293 teenagers and 1,640 parents of young children completed the French questionnaires. Factor analysis supported a single dimension (Cronbach's alpha: adults: 0.85, teenagers: 0.82, parents: 0.80). Construct validity showed the expected pattern of association, with dissatisfaction correlating with patient- and stay-related factors, notably length of stay, and readmission.ConclusionThe French versions of the PPE-15 for adults, teenagers and parents of pediatric patients stand as valid and reliable instruments for gauging patient satisfaction regarding their hospital stay after discharge.</p

Parameter Estimates and 95% Confidence Intervals from Linear Regression Models to Evaluate the Association Between Measures of Regret and Insomnia Severity Index Score.

<p>*Adjusted for profession (nurse or physician), sex, years of experience, rate of employment, and CES-D depression score.</p><p>Parameter Estimates and 95% Confidence Intervals from Linear Regression Models to Evaluate the Association Between Measures of Regret and Insomnia Severity Index Score.</p

Odds Ratios and 95% Confidence Intervals from Logistic Regression Models to Evaluate the Association Between Measures of Regret and Sleeping Pill Use.

<p>*Adjusted for profession (nurse or physician), sex, number of years of experience, rate of employment, and CES-D depression score</p><p>Odds Ratios and 95% Confidence Intervals from Logistic Regression Models to Evaluate the Association Between Measures of Regret and Sleeping Pill Use.</p

“Extra costs” in millions of Euros, 95% CIs, and percent of total prescriptions for three scenarios.

<p>“Extra costs” in millions of Euros, 95% CIs, and percent of total prescriptions for three scenarios.</p

Time frame of changes in the hospital drug formulary (RDF) and spillover-associated “extra costs” (95% CI) in thousands of Euros.

a<p>No generic available.</p

Proportion of respondents who reported using sleeping pills more than once a month according to levels of regret intensity (RIS–10).

<p>Levels of regret intensity were aggregated if there were fewer than 10 respondents.</p

Esomepraprole and levocetirizine market share.

<p>This figure shows changes in esomepraprole (A) and levocetirizine (B) market share before and after changes for these drugs in the HUG RDF and generics coming to market.</p

Costs and “extra costs” of brand, follow-on, generic, and total prescriptions in millions of Euros.

<p>Costs and “extra costs” of brand, follow-on, generic, and total prescriptions in millions of Euros.</p