Institution
University of Massachusetts Boston
Education•Boston, Massachusetts, United States•
About: University of Massachusetts Boston is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Health care. The organization has 6541 authors who have published 12918 publications receiving 411731 citations. The organization is also known as: UMass Boston.
Topics: Population, Health care, Poison control, Mental health, Higher education
Papers published on a yearly basis
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TL;DR: A coding system for classifying modifications made to interventions and programs across a variety of fields and settings can complement research on fidelity and may advance research with the goal of understanding the impact of modifications made when evidence-based interventions are implemented.
Abstract: Background: Evidence-based interventions are frequently modified or adapted during the implementation process. Changes may be made to protocols to meet the needs of the target population or address differences between the context in which the intervention was originally designed and the one into which it is implemented [Addict Behav 2011, 36(6):630–635]. However, whether modification compromises or enhances the desired benefits of the intervention is not well understood. A challenge to understanding the impact of specific types of modifications is a lack of attention to characterizing the different types of changes that may occur. A system for classifying the types of modifications that are made when interventions and programs are implemented can facilitate efforts to understand the nature of modifications that are made in particular contexts as well as the impact of these modifications on outcomes of interest. Methods: We developed a system for classifying modifications made to interventions and programs across a variety of fields and settings. We then coded 258 modifications identified in 32 published articles that described interventions implemented in routine care or community settings. Results: We identified modifications made to the content of interventions, as well as to the context in which interventions are delivered. We identified 12 different types of content modifications, and our coding scheme also included ratings for the level at which these modifications were made (ranging from the individual patient level up to a hospital network or community). We identified five types of contextual modifications (changes to the format, setting, or patient population that do not in and of themselves alter the actual content of the intervention). We also developed codes to indicate who made the modifications and identified a smaller subset of modifications made to the ways that training or evaluations occur when evidence-based interventions are implemented. Rater agreement analyses indicated that the coding scheme can be used to reliably classify modifications described in research articles without overly burdensome training. Conclusions: This coding system can complement research on fidelity and may advance research with the goal of understanding the impact of modifications made when evidence-based interventions are implemented. Such findings can further inform efforts to implement such interventions while preserving desired levels of program or intervention effectiveness.
446 citations
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University of California, Los Angeles1, University of Pittsburgh2, Fred Hutchinson Cancer Research Center3, Stanford University4, Harvard University5, University of Cincinnati6, University of Massachusetts Boston7, Stony Brook University8, University of Wisconsin-Madison9, Baylor College of Medicine10, University of Texas Health Science Center at San Antonio11, Wayne State University12, University of Texas MD Anderson Cancer Center13, Yeshiva University14, University of California, Davis15
TL;DR: The increased risk of breast cancer associated with the use of estrogen plus progestin declined markedly soon after discontinuation of combined hormone therapy and was unrelated to changes in frequency of mammography.
Abstract: We analyzed the results of the WHI randomized clinical trial — in which one study group received 0.625 mg of conjugated equine estrogens plus 2.5 mg of medroxyprogesterone acetate daily and another group received placebo — and examined temporal trends in breast-cancer diagnoses in the WHI observational-study cohort. Risk factors for breast cancer, frequency of mammography, and time-specific incidence of breast cancer were assessed in relation to combined hormone use. Results In the clinical trial, there were fewer breast-cancer diagnoses in the group receiving estrogen plus progestin than in the placebo group in the initial 2 years of the study, but the number of diagnoses increased over the course of the 5.6-year intervention period. The elevated risk decreased rapidly after both groups stopped taking the study pills, despite a similar frequency of mammography. In the observational study, the incidence of breast cancer was initially about two times as high in the group receiving menopausal hormones as in the placebo group, but this difference in incidence decreased rapidly in about 2 years, coinciding with year-to-year reductions in combined hormone use. During this period, differences in the frequency of mammography between the two groups were unchanged. Conclusions The increased risk of breast cancer associated with the use of estrogen plus progestin declined markedly soon after discontinuation of combined hormone therapy and was unrelated to changes in frequency of mammography.
445 citations
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TL;DR: In this paper, a conceptual framework that captures the essence of the Service Encounter 2.0 and provides a synthesis of the changing interdependent roles of technology, employees, and customers is presented.
444 citations
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TL;DR: The findings suggest that, while some of the diffusion abnormalities in schizophrenia are likely due to abnormal coherence, or organization of the fiber tracts, some of these abnormalities may, in fact, be attributed to or coincide with myelin/axonal disruption.
444 citations
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TL;DR: The first global-scale analysis of standing stock (abundance and biomass) for 4 major size classes of deep-sea biota: bacteria, meta- zoan meiofauna, macrofauna and megafauna shows a dramatic decrease in total community standing stock and the ascendancy of smaller organisms with depth.
Abstract: We present the first global-scale analy- sis of standing stock (abundance and biomass) for 4 major size classes of deep-sea biota: bacteria, meta- zoan meiofauna, macrofauna and megafauna. The community standing stock decreases with depth; this is a universal phenomenon that involves a com- plex transition in the relative importance of the different size groups. Bacterial abundance and biomass show no decline with depth. All 3 animal size groups experience significant exponential de- creases in both abundance and biomass. The abun- dance of larger animals is significantly lower and decreases more rapidly than for smaller groups. The resulting drop in average body size with depth con- firms Thiel's size-structure hypothesis on very large spatial scales. In terms of their proportion of total community biomass, smaller size classes replace larger size classes. The upper continental slope is dominated by macrofaunal biomass, and the abyss by bacterial and meiofaunal biomass. The dramatic decrease in total community standing stock and the ascendancy of smaller organisms with depth has important implications for deep-sea biodiversity. The bathyal zone (200 to 4000 m) affords more eco- logical and evolutionary opportunity in the form of energy availability for larger organisms, and conse- quently supports higher macrofaunal and mega- faunal species diversity than the abyss (> 4000 m).
439 citations
Authors
Showing all 6667 results
Name | H-index | Papers | Citations |
---|---|---|---|
Derek R. Lovley | 168 | 582 | 95315 |
Wei Li | 158 | 1855 | 124748 |
Susan E. Hankinson | 151 | 789 | 88297 |
Roger J. Davis | 147 | 498 | 103478 |
Thomas P. Russell | 141 | 1012 | 80055 |
George Alverson | 140 | 1653 | 105074 |
Robert H. Brown | 136 | 1174 | 79247 |
C. Dallapiccola | 136 | 1717 | 101947 |
Paul T. Costa | 133 | 406 | 88454 |
Robert R. McCrae | 132 | 313 | 90960 |
David Julian McClements | 131 | 1137 | 71123 |
Mauro Giavalisco | 128 | 412 | 69967 |
Benjamin Brau | 128 | 971 | 72704 |
Douglas T. Golenbock | 123 | 317 | 61267 |
Zhifeng Ren | 122 | 695 | 71212 |