In 1994, the questionnaire 'Quality of Care from the Patient's Perspective' (QPP) was developed using a conventional factor analytical approach (Wilde et al. 1994). The items and conceptual framework of this questionnaire were derived from a theoretical model, which, in turn, was developed from qualitative patient interviews, using a grounded theory method of analysis (Wilde et al. 1993). The aims of this study were to develop further the dimensionality of the QPP using structural equation modelling combined with advances in factor analysis modelling, and to refine the instrument. This comparatively new methodology extracts more information out of questionnaire data and is considered to be superior to traditional scaling methods. The sample consisted of 611 somatic inpatients from four departments at a Swedish hospital. Data collected with the QPP were explored with the new tool tracing the dimensions postulated in the theoretical model underlying the QPP. A nested factor model was developed fulfilling statistical criteria for adjustment between model and data. The model consists of a general factor and 16 subordinate factors. Most of the original QPP scales were reproduced with the new statistical technique. However, some content changes were made which appear to bring the QPP scales closer to patients' meaning representations of the area. Some changes were also made to the response format, changes which appear to strengthen the psychometric properties of the instrument. The refined QPP will hopefully contribute to a more differentiated picture of quality of care when applied in the field. All scales, items, and response formats of the revised QPP are presented in an appendix.

Objective:  This paper presents results from the first national survey of problem gambling completed in Sweden. Method:  The Swedish survey is unique in its quality and representativeness, due to the use of multiple modes of data collection, recruitment of respondents from national registers rather than from households, and high response rate. Results:  In spite of high rates of gambling participation in Sweden, the combined prevalence of problem and pathological gambling in Sweden is relatively low (3.9% lifetime and 2.0% current). Multivariate analysis shows that being male, under the age of 25 and born abroad are significant risk factors for lifetime gambling problems in Sweden. Additional risk factors are being single, living in big cities, and receiving social welfare payments. Conclusion:  The groups most at risk for gambling problems in Sweden are people disadvantaged and marginalized by international economic changes as well as the dismantling of the Swedish welfare system.

The groups most at risk for gambling problems in Sweden are people disadvantaged and marginalized by international economic changes as well as the dismantling of the Swedish welfare system.

Recent increases in the number of online gambling sites have made gambling more available, which may contribute to an increase in gambling problems. At the same time, online gambling provides opportunities to introduce measures intended to prevent problem gambling. GamTest is an online test of gambling behavior that provides information that can be used to give players individualized feedback and recommendations for action. The aim of this study is to explore the dimensionality of GamTest and validate it against the Problem Gambling Severity Index (PGSI) and the gambler’s own perceived problems. A recent psychometric approach, exploratory structural equation modeling (ESEM) is used. Well-defined constructs are identified in a two-step procedure fitting a traditional exploratory factor analysis model as well as a so-called bifactor model. Using data collected at four Nordic gambling sites in the autumn of 2009 (n = 10,402), the GamTest ESEM analyses indicate high correspondence with the players’ own understanding of their problems and with the PGSI, a validated measure of problem gambling. We conclude that GamTest captures five dimensions of problematic gambling (i.e., overconsumption of money and time, and monetary, social and emotional negative consequences) with high reliability, and that the bifactor approach, composed of a general factor and specific residual factors, reproduces all these factors except one, the negative consequences emotional factor, which contributes to the dominant part of the general factor. The results underscore the importance of tailoring feedback and support to online gamblers with a particular focus on how to handle emotions in relation to their gambling behavior.Electronic supplementary materialThe online version of this article (doi:10.1007/s10899-017-9676-4) contains supplementary material, which is available to authorized users.