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NURS6800_2024_Fall

Basic Keyword Search Techniques

 

  • Keyword searching is used by internet search engines, databases, and the library catalog, although there are some differences in how such searches function. Keep in mind that the search will find matches for specific terms, not concepts. 
  • Most search engines' algorithms take into account the term order.  Library databases do not!  Databases also have much more advanced searching--including subject searching.  A database search will search for EXACT character string matches (PubMed is an exception.)
  • Check out the menu "sub-page" buttons under Search Strategies for some basic search functionalities common to library resource keyword searching.  We will look at these more fully in the recommended databases.


IMPORTANT:  Databases searches search the database record of the article (title, abstract, authors, etc.).

Most do not search within the full text of the articles.

Records

Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention.

Authors:
Lewinski, Allison A; Patel, Uptal D; Diamantidis, Clarissa J; Oakes, Megan; Baloch, Khaula; Crowley, Matthew J; Wilson, Jonathan; Pendergast, Jane; Biola, Holly; Boulware, L Ebony; Bosworth, Hayden B
Affiliation:
Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, United States
Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
Gilead Sciences, Inc, Foster City, CA, United States
Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
Outcomes Research Group, Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States
Department of Family Medicine, Lincoln Community Health Center, Durham, NC, United States
Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
School of Nursing, Duke University, Durham, NC, United States
Source:
Journal of Medical Internet Research (J MED INTERNET RES), Apr2019; 21(4): N.PAG-N.PAG. (1p)
Publication Type:
journal article - research
Language:
English
Major Subjects:
Diabetes Mellitus, Type 2 -- Therapy
Telemedicine -- Methods
Hypertension -- Therapy
Minor Subjects:
Human; Middle Age; Female; Pilot Studies; Validation Studies; Comparative Studies; Evaluation Research; Multicenter Studies; Impact of Events Scale
Abstract:
Background: Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support.Objective: This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States.Methods: Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention.Results: Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls.Conclusion: We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact.Trial Registration: ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).
Journal Subset:
Biomedical; Canada; Computer/Information Science; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed
Instrumentation:
Impact of Events Scale (IES)
ISSN:
1438-8871
MEDLINE Info:
PMID: NLM30964439 NLM UID: 100959882
Grant Information:
IK2 HX001514/HX/HSRD VA/United States; IK6 HX003161/HX/HSRD VA/United States; K23 DK099385/DK/NIDDK NIH HHS/United States; P30 DK096493/DK/NIDDK NIH HHS/United States; R34 DK102166/DK/NIDDK NIH HHS/United States; UL1 TR002553/TR/NCATS NIH HHS/United States
Entry Date:
20200216
Revision Date:
20220127
DOI:
10.2196/12541 
Accession Number:
136207570
Database:
CINAHL Plus with Full Text