The association between demographic factors, user reported experiences and user satisfaction: results from three casualty clinics in Norway

<p>Abstract</p> <p>Background</p> <p>User reported experiences and satisfaction are increasingly used as basis for quality indicators in the health sector. However, there is limited understanding of factors associated with user reported experiences and satisfaction with casualty clinics.</p> <p>Methods</p> <p>A random sample of 542 patients that had contacted any of three casualty clinics from mid April to mid May 2008 was mailed a questionnaire. A reminder was sent to non-respondents after six weeks. Descriptive statistics for four user reported experiences scales and 20 single items are presented. Multivariate regression analysis was used to assess associations between background variables and user reported experiences, and between user reported experiences and user satisfaction.</p> <p>Results</p> <p>225 (41.5%) patients, carers and guardians returned a completed questionnaire. Users reported most positive experiences with the doctor services and the nursing services at the casualty clinics; on a scale from 0 to 100, where 100 is the best possible experience the doctor scale was 82 and the nursing scale 81. Users reported least positive experiences with the organization of the casualty clinic, with a scale score of 65. Self perceived health was associated with user satisfaction, while self perceived health and age were associated with user reported experiences with organization of the clinics. A range of user reported experience domains were related to user satisfaction, after controlling for socio-demographic variables, including experiences with doctor services at the clinics, organization of the clinics, information and self perceived incorrect treatment.</p> <p>Conclusions</p> <p>Users report positive experiences with the three casualty clinics, with organization as the aspect with largest improvement potential. The importance of age and health status for users' experiences and satisfaction with casualty clinics was shown, but a range of user reported experiences with the clinics were the most important predictors for user satisfaction.</p

Are waiting times for hospital admissions affected by patients' choices and mobility?

Background Waiting times for elective care have been considered a serious problem in many health care systems. A topic of particular concern has been how administrative boundaries act as barriers to efficient patient flows. In Norway, a policy combining patient's choice of hospital and removal of restriction on referrals was introduced in 2001, thereby creating a nationwide competitive referral system for elective hospital treatment. The article aims to analyse if patient choice and an increased opportunity for geographical mobility has reduced waiting times for individual elective patients. Methods A survey conducted among Norwegian somatic patients in 2004 gave information about whether the choice of hospital was made by the individual patient or by others. Survey data was then merged with administrative data on which hospital that actually performed the treatment. The administrative data also gave individual waiting time for hospital admission. Demographics, socio-economic position, and medical need were controlled for to determine the effect of choice and mobility upon waiting time. Several statistical models, including one with instrument variables for choice and mobility, were run. Results Patients who had neither chosen hospital individually nor bypassed the local hospital for other reasons faced the longest waiting times. Next were patients who individually had chosen the local hospital, followed by patients who had not made an individual choice, but had bypassed the local hospital for other reasons. Patients who had made a choice to bypass the local hospitals waited on average 11 weeks less than the first group. Conclusion The analysis indicates that a policy combining increased opportunity for hospital choice with the removal of rules restricting referrals can reduce waiting times for individual elective patients. Results were robust over different model specifications

Rasch analysis of the Psychiatric Out-Patient Experiences Questionnaire (POPEQ)

<p>Abstract</p> <p>Background</p> <p>The Psychiatric Out-Patient Experiences Questionnaire (POPEQ) is an 11-item core measure of psychiatric out-patients experiences of the perceived outcome of the treatment, the quality of interaction with the clinician, and the quality of information provision. The POPEQ was found to have evidence for reliability and validity following the application of classical test theory but has not previously been assessed by Rasch analysis.</p> <p>Methods</p> <p>Two national postal surveys of psychiatric outpatients took place in Norway in 2004 and 2007. The performance of the POPEQ, including item functioning and differential item functioning, was assessed by Rasch analysis. Principal component analysis of item residuals was used to assess the presence of subdimensions.</p> <p>Results</p> <p>6,677 (43.3%) and 11,085 (35.2%) psychiatric out patients responded to the questionnaire in 2004 and 2007, respectively. All items in the scale were retained after the Rasch analysis. The resulting scale had reasonably good fit to the Rasch model. The items performed the same for the two survey years and there was no differential item functioning relating to patient characteristics. Principal component analysis of the residuals confirmed that the measure to a high degree is unidimensional. However, the data also reflects three potential subscales, each relating to one of the three included aspects of health care.</p> <p>Conclusions</p> <p>The POPEQ had excellent psychometric properties and Rasch analysis further supported the construct validity of the scale by also identifying the three subdimensions originally included as components in the instrument development. The 11-item instrument is recommended in future research on psychiatric out-patient experiences. Future development may lead to the construction of more precise measures of the three subdomains that the POPEQ is based on.</p