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The complexity of the feeling of satisfaction makes its measurement complex, in this context our work aims to develop a simple and practical measurement tool to identify problems within the processes of psychiatric care in order to provide corrective interventions.
Objectives
to validate the psychometric properties of a scale designed for us to assess patients’ satisfaction with the quality of psychiatric care received.
Methods
This is a validation study conducted on a sample of 200 patients followed at RAZI Hospital in Tunisia, outside any period of hospitalization. The questionnaire consisted of 28 items and was structured around eight dimensions (the patient’s perception of his or her own mental disorder, the quality of the doctor-patient relationship, the quality of the nursing team-patient relationship, the organisational aspect and conditions of the hospital ward, the therapeutic discharge planning, the respect of human rights, and the quality of the patient’s health, The organisational aspect and conditions of the hospital ward, Therapeutic discharge planning, Respect for patients’ human rights, Satisfaction with overall care and Loyalty.
Results
Both face validity and content validity were satisfactory. Internal consistency was sufficient with a Cronbach’s alpha of 0.913. The inter-dimensional correlation reflected statistically significant and logical correlations within our scale. Temporal stability was satisfactory. An exploratory factor analysis revealed seven factors with a Kaiser-Meyer-Olkin score of 0.852.
Conclusions
Our scale has demonstrated good psychometric properties. It can be reliably used as a measure of the satisfaction of Tunisian patients with the psychiatric care received.
Patients who are tobacco users present to the emergency department (ED) with many medical conditions that are causally or potentially causally related to smoking. Previous studies have shown increased cessation rates for patients who accurately perceive that their ED visit is smoking-related. Our study goals were 1) to determine the prevalence of potential smoking-related conditions among tobacco users at a tertiary care academic ED, and 2) to determine which medical conditions are more or less likely to be perceived by patients as smoking-related.
Methods
We included adults≥19 years of age who reported smoking within 30 days of their ED visit, and were enrolled in a randomized controlled trial (ClinicalTrials.gov, NCT01454375) from December 1, 2011 to August 31, 2012. Patients were asked whether they perceived their ED visit to be related to smoking. ED discharge diagnoses were coded as smoking-related or not smoking-related based on the 2004 U.S. Surgeon General’s Report.
Results
We included 893 patients (62% male; mean age=40±15), of which 120 (13%) had a visit for a potential smoking-related condition: 6 (5%) of neoplasm, 18 (15%) of cardiovascular disease, 67 (56%) of respiratory disease, 3 (3%) of reproductive complication, 7 (6%) of postoperative complication, 9 (8%) of dental disease, 9 (8%) of peptic ulcer disease, 0 (0%) of eye condition, and 1 (1%) of bony condition. Of the potential smoking-related conditions, 46 (38%) were perceived by patients to be possibly smoking-related: 61% of cardiovascular disease, 33% of neoplasm, 43% of respiratory disease, 22% of dental disease, 14% of postoperative complication, 11% of peptic ulcer disease, and 0% of the remaining conditions.
Conclusion
In this study, 13% of all ED visits among smokers were for a potential smoking-related condition, of which 38% were perceived by patients to be smoking-related. Education to increase awareness of smoking-related conditions may increase cessation rates.
Increased emergency department (ED) wait times lead to more patients who leave without being seen and decreased patient satisfaction. Many EDs post estimated wait times either online or in the ED to guide patient expectations. The objectives of this study were to assess patients' awareness of online wait time data and to investigate patients' willingness to use this information when choosing between two academic EDs in London, Ontario.
Methods:
A prospective study was conducted over a 2-month period in a tertiary ED with online available wait times. Patients over 18 years of age assigned a Canadian Triage and Acuity Scale (CTAS) score of 3, 4, or 5 were approached by trained research assistants to complete a 15-item paper-based questionnaire. Multivariable logistic regression models were used to determine factors independently associated with the outcomes.
Results:
A total of 1,211 patients completed the survey. Of these, 109 (9%) were aware that ED wait time information was available on the Internet; 544 (45%) reported that they would use the available data to make a decision on which ED to visit, and 536 (44%) indicated that they were more likely to go to the ED with a shorter wait time. Age, gender, household income, education, and Internet access were not associated with awareness of online ED wait times. Participants less than 40 years of age were more likely to use online wait time information.
Conclusion:
There is low awareness of the availability of ED wait time data published online in the study locaton. Future research may include the delivery of a public awareness strategy for ED wait time data and a re-evaluation of ED use and patient satisfaction following this.
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