What matters most to patients? Participative provider care and staff courtesy

Although there is growing recognition of the importance of having satisfied patients, we know little about what aspects of care matter most to patients. The sources of patient satisfaction and how care delivery can influence them need more empirical study. The objective of this study was to identify which aspects of a patient’s experience of care are most important to patient satisfaction, and how dimensions of care relate to clinic size, economic performance, and employee job satisfaction. To explore our question, longitudinal survey data were obtained on patients and employees over two years (1996 and 1997). Relationships between patient satisfaction and the two most critical care experience dimensions, clinic size, economic performance, and job satisfaction were examined. As of result, six major dimensions of patients\u27 experience of care were identified: 1) participative provider care, 2) staff courtesy, 3) self-reported sickness, 4) waiting, 5) staff follow-up, and 6) medical explanations. The first two factors, participative provider care and staff courtesy, account for more than 37% of the total variance in patients’ experience of care. Patient satisfaction is negatively and significantly correlated with clinic size but not correlated with job satisfaction, physician productivity, or clinic profitability. The article concludes suggesting that the personal relationships of a patient with his/her doctor and clinic staff are the strongest predictors of patient satisfaction. Patient satisfaction was found to be unrelated to the employee job satisfaction, physician productivity, and clinic economic performance

Explaining Development and Change in Organizations,

This article introduces four basic theories that may serve as building blocks for explaining processes of change in organizations: life cycle, teleology, dialectics, and evolution. These four theories represent different sequences of change events that are driven by different conceptual motors and operate at different organizational levels. This article identifies the circumstances when each theory applies and proposes how interplay among the theories produces a wide variety of more complex theories of change and development in organizational life. Explaining how and why organizations change has been a central and enduring quest of scholars in management and many other disciplines. The processes or sequences of events that unfold in these changes-such as transitions in individuals' jobs and careers, group formation and development, and organizational innovation, growth, reorganization, and decline-have been very difficult to explain, let alone manage. To understand how organizations change, management scholars have borrowed many concepts, metaphors, and theories from other disciplines, ranging from child development to evolutionary biology. These concepts include punctuated equilibrium, stages of growth, processes of decay and death, population ecology, functional models of change and development, and chaos theory. This variation has created a theoretical pluralism that has uncovered novel ways to explain some organizational change and developmental processes. However, the diversity of theories and concepts borrowed from different disciplines often encourages compartmentalization of perspectives that do not enrich each other and produce isolated lines of research (Gioia & Pitre, 1990). As Poggie (1965: 284) said, "A way of seeing is a way of not seeing." It is the interplay between different perspectives that helps one gai

The DIAMOND Initiative: Implementing Collaborative Care for Depression in 75 Primary Care Clinics

Background: The many randomized trials of the collaborative care model for improving depression in primary care have not described the implementation and maintenance of this model. This paper reports how and the degree to which collaborative care process changes were implemented and maintained for the 75 primary care clinics participating in the DIAMOND Initiative (Depression Improvement Across Minnesota–Offering a New Direction). Methods: Each clinic was trained to implement seven components of the model and participated in ongoing evaluation and facilitation activities. For this study, assessment of clinical process implementation was accomplished via completion of surveys by the physician leader and clinic manager of each clinic site at three points in time. The physician leader of each clinic completed a survey measure of the presence of various practice systems prior to and one and two years after implementation. Clinic managers also completed a survey of organizational readiness and the strategies used for implementation. Results: Survey response rates were 96% to 100%. The systems survey confirmed a very high degree of implementation (with large variation) of DIAMOND depression practice systems (mean of 24.4 ± 14.6%) present at baseline, 57.0 ± 21.0% at one year (P = \u3c0.0001), and 55.9 ± 21.3% at two years. There was a similarly large increase (and variation) in the use of various quality improvement strategies for depression (mean of 29.6 ± 28.1% at baseline, 75.1 ± 22.3% at one year (P = \u3c0.0001), and 74.6 ± 23.0% at two years. Conclusions: This study demonstrates that under the right circumstances, primary care clinics that are prepared to implement evidence-based care can do so if financial barriers are reduced, effective training and facilitation are provided, and the new design introduces the specific mental models, new care processes, and workers and expertise that are needed. Implementation was associated with a marked increase in the number of improvement strategies used, but actual care and outcomes data are needed to associate these changes with patient outcomes and patient-reported care

Using grounded theory method in information systems: The researcher as blank slate and other myths

The use of grounded theory method (GTM) as a research method in information systems (IS) has gradually increased over the years as qualitative research in general has become more prevalent. The method offers a systematic way to generate theory from data, but is rarely used to its full potential in IS as a number of myths and misunderstandings about GTM prevent researchers from getting the full potential out of the method. To address this problem, we advance the general level of knowledge of GTM. We clarify aspects of the method that are often misunderstood by novice users or casual observers and provide guidance to address common problems. Exemplars from the IS literature are used to illustrate the concepts and to promote the informed use of the methodology. By doing so, this paper will contribute to improving the use of the method and to the quality and dissemination of grounded theory research outcomes. © 2013 JIT Palgrave Macmillan All rights reserved

Medical Therapies for Uterine Fibroids - A Systematic Review and Network Meta-Analysis of Randomised Controlled Trials

BACKGROUND: Uterine fibroids are common, often symptomatic and a third of women need repeated time off work. Consequently 25% to 50% of women with fibroids receive surgical treatment, namely myomectomy or hysterectomy. Hysterectomy is the definitive treatment as fibroids are hormone dependent and frequently recurrent. Medical treatment aims to control symptoms in order to replace or delay surgery. This may improve the outcome of surgery and prevent recurrence. PURPOSE: To determine whether any medical treatment can be recommended in the treatment of women with fibroids about to undergo surgery and in those for whom surgery is not planned based on currently available evidence. STUDY SELECTION: Two authors independently identified randomised controlled trials (RCT) of all pharmacological treatments aimed at the treatment of fibroids from a list of references obtained by formal search of MEDLINE, EMBASE, Cochrane library, Science Citation Index, and ClinicalTrials.gov until December 2013. DATA EXTRACTION: Two authors independently extracted data from identified studies. DATA SYNTHESIS: A Bayesian network meta-analysis was performed following the National Institute for Health and Care Excellence-Decision Support Unit guidelines. Odds ratios, rate ratios, or mean differences with 95% credible intervals (CrI) were calculated. RESULTS AND LIMITATIONS: A total of 75 RCT met the inclusion criteria, 47 of which were included in the network meta-analysis. The overall quality of evidence was very low. The network meta-analysis showed differing results for different outcomes. CONCLUSIONS: There is currently insufficient evidence to recommend any medical treatment in the management of fibroids. Certain treatments have future promise however further, well designed RCTs are needed

Strain analysis is superior to wall thickening in discriminating between infarcted myocardium with and without microvascular obstruction

Objectives: The aim of the present study was to evaluate the diagnostic performances of strain and wall thickening analysis in discriminating among three types of myocardium after acute myocardial infarction: non-infarcted myocardium, infarcted myocardium without microvascular obstruction (MVO) and infarcted myocardium with MVO. Methods: Seventy-one patients with a successfully treated ST-segment elevation myocardial infarction underwent cardiovascular magnetic resonance imaging at 2-6 days after reperfusion. The imaging protocol included conventional cine imaging, myocardial tissue tagging and late gadolinium enhancement. Regional circumferential and radial strain and associated strain rates were analyzed in a 16-segment model as were the absolute and relative wall thickening. Results: Hyperenhancement was detected in 418 (38%) of 1096 segments and was accompanied by MVO in 145 (35%) of hyperenhanced segments. Wall thickening, circumferential and radial strain were all significantly diminished in segments with hyperenhancement and decreased even further if MVO was also present (all p < 0.001). Peak circumferential strain (CS) surpassed all other strain and wall thickening parameters in its ability to discriminate between hyperenhanced and non-enhanced myocardium (all p < 0.05). Furthermore, CS was superior to both absolute and relative wall thickening in differentiating infarcted segments with MVO from infarcted segments without MVO (p = 0.02 and p = 0.001, respectively). Conclusions: Strain analysis is superior to wall thickening in differentiating between non-infarcted myocardium, infarcted myocardium without MVO and

A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.

This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.3448Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.We thank all participants of all the studies included for enabling this research by their participation in these studies. Computer resources for this project have been provided by the high-performance computing centers of the University of Michigan and the University of Regensburg. Group-specific acknowledgments can be found in the Supplementary Note. The Center for Inherited Diseases Research (CIDR) Program contract number is HHSN268201200008I. This and the main consortium work were predominantly funded by 1X01HG006934-01 to G.R.A. and R01 EY022310 to J.L.H