| Title |
Introductory Overview of the Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network: Examining the Impact of US Health Policies and Practices to Prevent Diabetes and Its Complications
|
|---|---|
| Published in |
Current Diabetes Reports, February 2018
|
| DOI | 10.1007/s11892-018-0977-5 |
| Pubmed ID | |
| Authors |
O. Kenrik Duru, Carol M. Mangione, Hector P. Rodriguez, Dennis Ross-Degnan, J. Frank Wharam, Bernard Black, Abel Kho, Nathalie Huguet, Heather Angier, Victoria Mayer, David Siscovick, Jennifer L. Kraschnewski, Lizheng Shi, Elizabeth Nauman, Edward W. Gregg, Mohammed K. Ali, Pamela Thornton, Steven Clauser |
| Abstract |
Diabetes incidence is rising among vulnerable population subgroups including minorities and individuals with limited education. Many diabetes-related programs and public policies are unevaluated while others are analyzed with research designs highly susceptible to bias which can result in flawed conclusions. The Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network includes eight research centers and three funding agencies using rigorous methods to evaluate natural experiments in health policy and program delivery. NEXT-D2 research studies use quasi-experimental methods to assess three major areas as they relate to diabetes: health insurance expansion; healthcare financing and payment models; and innovations in care coordination. The studies will report on preventive processes, achievement of diabetes care goals, and incidence of complications. Some studies assess healthcare utilization while others focus on patient-reported outcomes. NEXT-D2 examines the effect of public and private policies on diabetes care and prevention at a critical time, given ongoing and rapid shifts in the US health policy landscape. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 26% |
| Nursing and Health Professions | 6 | 13% |
| Medicine and Dentistry | 5 | 11% |
| Business, Management and Accounting | 2 | 4% |
| Psychology | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 16 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2018.
All research outputs
#13,504,909
of 23,023,224 outputs
Outputs from Current Diabetes Reports
#557
of 1,013 outputs
Outputs of similar age
#216,833
of 437,345 outputs
Outputs of similar age from Current Diabetes Reports
#8
of 16 outputs
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So far Altmetric has tracked 1,013 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.