OBJECTIVE: To test the effects of implementing computer-assisted Monitoring of Individual Needs in Diabetes (MIND) in routine diabetes care on psychological status and glycemic control, identify predictors of poor psychological outcomes, and evaluate care providers' experiences.
RESEARCH DESIGN AND METHODS:
The MIND procedure was implemented as part of the annual review in diabetes clinics across eight countries in a prospective observational study with a 1-year follow-up. MIND encompasses well-being (World Health Organization Five Well-Being Index [WHO-5]), diabetes-related distress (Problem Areas in Diabetes [PAID]), a Life Event Inventory, and the patient's agenda for their consultation. Medical data and agreed case-management actions were retrieved from the charts.
Of the total 1,567 patients, 891 patients (57%) were monitored at a 1-year follow-up. Twenty-eight percent of the patients screened positive for depression and/or diabetes distress at baseline and considered cases, 17% of whom were receiving psychological care. Cases were significantly more often female and had type 2 diabetes and worse glycemic control compared with noncases. Clinically relevant improvements in WHO-5 and PAID were observed over time in cases, irrespective of referral (effects sizes 0.59 and 0.48, respectively; P < 0.0001). Glycemic control did not change. Female sex, life events, and concomitant chronic diseases were predictors of poor psychological outcomes. MIND was well received by patients and staff.
MIND appears suitable for screening and discussion of emotional distress as part of the annual review. Broader dissemination in diabetes care is recommendable, but sustainability will depend on reimbursement and availability of support services.
As non-communicable or chronic diseases are a growing threat to human health and economic growth, political stakeholders are aiming to identify options for improved response to the challenges of prevention and management of non-communicable diseases. This paper is intended to contribute ideas on personalized chronic disease management which are based on experience with one major chronic disease, namely diabetes mellitus. Diabetes provides a pertinent case of chronic disease management with a particular focus on patient self-management. Despite advances in diabetes therapy, many people with diabetes still fail to achieve treatment targets thus remaining at risk of complications. Personalizing the management of diabetes according to the patient's individual profile can help in improving therapy adherence and treatment outcomes. This paper suggests using a six-step cycle for personalized diabetes (self-)management and collaborative use of structured blood glucose data. E-health solutions can be used to improve process efficiencies and allow remote access. Decision support tools and algorithms can help doctors in making therapeutic decisions based on individual patient profiles. Available evidence about the effectiveness of the cycle's constituting elements justifies expectations that the diabetes management cycle as a whole can generate medical and economic benefit.
In this chapter an analysis of psychoacoustically transformed and normalized acoustic vowel data from sixteen speakers of Scottish Standard English (SSE) are presented. Apart from a general discussion of the findings against the background of current textbook descriptions of the accent, special attention will be paid to possible effects the regional provenance of speakers has on the organisation of their vowel spaces. The three regions in question are Edinburgh, Northern Central Scotland (Stirlingshire, West Fife & South Angus) and the Northeast (Aberdeenshire). The resulting vowel plots correspond rather well to articulatory and impressionistic descriptions in the literature and share most of the characteristics of SSE, for instance a rather front /u/ and a considerably centralised /ɪ/. It can also be shown that with regard to some vowel features, the regional background of speakers plays a modest role. While the limitations of the corpus do not allow to generalise very far, the chapter points the direction to future research on regional variation within Scottish Standard English.
"A wage curve is a decreasing function of wages on the regional unemployment rate. Most empirical studies on the wage curve ignore possible spatial interaction effects between the regions which are the primary units of research. This paper reconsiders the western German wage curve with a special focus on the geography of labour markets. Spillovers between regions are taken into account. The paper tests whether the unemployment rate in the larger surrounding region also affects wages. In addition, agglomeration effects and effects of local monopsony are assessed.
The main database is a random sample of 974,179 employees observed over the period 1980–2004 and covering 326 NUTS3 units (districts). This rich data set is used to estimate a dynamic wage curve according to the two-step approach of Bell et al. (2002). In the first step one controls for individual heterogeneity and in the second step one allows for spatial effects of unemployment across regions on wages. We check the sensitivity of this wage elasticity to various spatial weight matrices as well as allowing for the endogeneity of unemployment. We also estimate the wage elasticity for various population groups."
This paper analyses the Serbian socio-economic spatial differentiation via a purely quantitative approach. In Serbia, huge development disparities between north and south, urban and rural as well as central and peripheral areas are obvious. Getting to the bottom of these spatial differences is one of the fundamental scientific and planning challenges of the region. This question of unevenly distributed living conditions is examined on the basis of factor analyses of secondary statistical data of the Serbian municipalities. The intention thereby was to identify the distribution of regional or spatial inequality by correlating an amount of 25 reliable variables. Combining the spheres of population structure, economy, employment, infrastructure, pre-school education and medical care an overall Index of Socio-economic Pressure is proposed to detect patterns of regional development on the Serbian territory.