10 results on '"Diana, Lock"'
Search Results
2. Patient-Centered Medical Home Recognition and Clinical Performance in U.S. Community Health Centers
- Author
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Michelle Chung, Alek Sripipatana, Leiyu Shi, Hailun Liang, Diana Lock, and De Chih Lee
- Subjects
Medical home ,medicine.medical_specialty ,Prenatal care ,Primary care ,Logistic regression ,03 medical and health sciences ,0302 clinical medicine ,Nursing ,Patient-Centered Care ,Surveys and Questionnaires ,Diabetes Mellitus ,medicine ,Humans ,Pharmacologic therapy ,030212 general & internal medicine ,Quality of Health Care ,Quality and Outcomes ,Primary Health Care ,business.industry ,030503 health policy & services ,Health Policy ,Clinical performance ,Prenatal Care ,Community Health Centers ,Asthma ,Hospitals ,Family medicine ,Community health ,Clinical Competence ,0305 other medical science ,business ,Patient centered - Abstract
Introduction America's community health centers (HCs) are uniquely poised to implement the patient-centered medical home (PCMH) model, as they are effective in providing comprehensive, accessible, and continuous primary care. This study aims to evaluate the relationship between PCMH recognition in HCs and clinical performance. Methods Data for this study came from the 2012 Uniform Data System (UDS) as well as a survey of HCs' PCMH recognition achievement. The dependent variables included all 16 measures of clinical performance collected through UDS. Control measures included HC patient, provider, and practice characteristics. Bivariate analyses and multiple logistic regressions were conducted to compare clinical performance between HCs with and without PCMH recognition. Findings Health centers that receive PCMH recognition generally performed better on clinical measures than HCs without PCMH recognition. After controlling for HC patient, provider, and practice characteristics, HCs with PCMH recognition reported significantly better performance on asthma-related pharmacologic therapy, diabetes control, pap testing, prenatal care, and tobacco cessation intervention. Conclusion This study establishes a positive association between PCMH recognition and clinical performance in HCs. If borne out in future longitudinal studies, policy makers and practices should advance the PCMH model as a strategy to further enhance the quality of primary care.
- Published
- 2016
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- View/download PDF
3. Correction to: Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol for a systematic review
- Author
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Evan, Mayo-Wilson, Susan, Hutfless, Tianjing, Li, Gillian, Gresham, Nicole, Fusco, Jeffrey, Ehmsen, James, Heyward, Swaroop, Vedula, Diana, Lock, Jennifer, Haythornthwaite, Jennifer L, Payne, Theresa, Cowley, Elizabeth, Tolbert, Lori, Rosman, Claire, Twose, Elizabeth A, Stuart, Hwanhee, Hong, Peter, Doshi, Catalina, Suarez-Cuervo, Sonal, Singh, and Kay, Dickersin
- Subjects
Meta-analysis ,Quetiapine ,Depression ,Bipolar disorder ,Protocol ,Reporting bias ,Guidance ,Pain ,Correction ,Systematic reviews ,Gabapentin ,Publication bias - Abstract
Background Systematic reviews should provide trustworthy guidance to decision-makers, but their credibility is challenged by the selective reporting of trial results and outcomes. Some trials are not published, and even among clinical trials that are published partially (e.g., as conference abstracts), many are never published in full. Although there are many potential sources of published and unpublished data for systematic reviews, there are no established methods for choosing among multiple reports or data sources about the same trial. Methods We will conduct systematic reviews of the effectiveness and safety of two interventions following the Institute of Medicine (IOM) guidelines: (1) gabapentin for neuropathic pain and (2) quetiapine for bipolar depression. For the review of gabapentin, we will include adult participants with neuropathic pain who do not require ventilator support. For the review of quetiapine, we will include adult participants with acute bipolar depression (excluding mixed or rapid cycling episodes). We will compare these drugs (used alone or in combination with other interventions) with placebo or with the same intervention alone; direct comparisons with other medications will be excluded. For each review, we will conduct highly sensitive electronic searches, and the results of the searches will be assessed by two independent reviewers. Outcomes, study characteristics, and risk of bias ratings will be extracted from multiple reports by two individuals working independently, stored in a publicly available database (Systematic Review Data Repository) and analyzed using commonly available statistical software. In each review, we will conduct a series of meta-analyses using data from different sources to determine how the results are affected by the inclusion of data from multiple published sources (e.g., journal articles and conference abstracts) as well as unpublished aggregate data (e.g., “clinical study reports”) and individual participant data (IPD). We will identify patient-centered outcomes in each report and identify differences in the reporting of these outcomes across sources. Systematic review registration CRD42015014037, CRD42015014038
- Published
- 2018
4. Resource efficiency networks in the construction of new buildings
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Andreas Pertl, Andrew Kent, Diana Lock, Ian Williams, Tony Curran, Phil Wilding, and Emilia den Boer
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Transport engineering ,Construction management ,Engineering ,business.industry ,Sustainability ,Key (cryptography) ,Resource efficiency ,Stakeholder network ,Reuse ,business ,Waste Management and Disposal ,Construction engineering ,Civil and Structural Engineering - Abstract
This paper reports on a study to develop a construction resource efficiency stakeholder network in the UK. The primary stakeholders in the network were the client, designer and main contractor – the decision-makers on construction techniques, materials and products. The paper outlines the rationale for the study, development of waste-prevention measures and industrial networks, progressive implementation in three separate construction activities, barriers and practical constraints, key results, conclusions and recommendations. Improvements were achieved through increased specification and use of sustainably produced construction materials, greater separation of materials for recycling, increased reuse of materials and behaviour changes in energy and water use as a result of on-site monitoring.
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- 2014
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- View/download PDF
5. Correction to: Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol
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Tianjing Li, Claire Twose, Gillian Gresham, Peter Doshi, Susan Hutfless, Diana Lock, James Heyward, Nicole Fusco, Theresa Cowley, Elizabeth A. Stuart, Kay Dickersin, Evan Mayo-Wilson, Sonal Singh, Elizabeth Tolbert, Swaroop Vedula, Jeffrey T. Ehmsen, Catalina Suarez-Cuervo, Jennifer A. Haythornthwaite, Hwanhee Hong, Lori Rosman, and Jennifer L. Payne
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Protocol (science) ,medicine.medical_specialty ,Information retrieval ,business.industry ,030503 health policy & services ,Patient-centered outcomes ,lcsh:R ,Medicine (miscellaneous) ,lcsh:Medicine ,03 medical and health sciences ,Multiple data ,0302 clinical medicine ,Text mining ,Meta-analysis ,Medicine ,030212 general & internal medicine ,Outcomes research ,0305 other medical science ,business - Abstract
The correct title of the article [1] should be “Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol”.
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- 2018
- Full Text
- View/download PDF
6. Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol for a systematic review
- Author
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Sonal Singh, Catalina Suarez-Cuervo, Elizabeth Tolbert, Claire Twose, Diana Lock, Peter Doshi, Gillian Gresham, Tianjing Li, James Heyward, Theresa Cowley, Swaroop Vedula, Jeffrey T. Ehmsen, Jennifer L. Payne, Susan Hutfless, Lori Rosman, Evan Mayo-Wilson, Nicole Fusco, Elizabeth A. Stuart, Hwanhee Hong, Kay Dickersin, and Jennifer A. Haythornthwaite
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Protocol (science) ,medicine.medical_specialty ,business.industry ,Patient-centered outcomes ,Medicine (miscellaneous) ,Publication bias ,Clinical trial ,Systematic review ,Reporting bias ,Meta-analysis ,medicine ,Medical physics ,Psychiatry ,business ,Meta-Analysis as Topic - Abstract
Background Systematic reviews should provide trustworthy guidance to decision-makers, but their credibility is challenged by the selective reporting of trial results and outcomes. Some trials are not published, and even among clinical trials that are published partially (e.g., as conference abstracts), many are never published in full. Although there are many potential sources of published and unpublished data for systematic reviews, there are no established methods for choosing among multiple reports or data sources about the same trial.
- Published
- 2015
- Full Text
- View/download PDF
7. Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol
- Author
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Evan, Mayo-Wilson, Susan, Hutfless, Tianjing, Li, Gillian, Gresham, Nicole, Fusco, Jeffrey, Ehmsen, James, Heyward, Swaroop, Vedula, Diana, Lock, Jennifer, Haythornthwaite, Jennifer L, Payne, Theresa, Cowley, Elizabeth, Tolbert, Lori, Rosman, Claire, Twose, Elizabeth A, Stuart, Hwanhee, Hong, Peter, Doshi, Catalina, Suarez-Cuervo, Sonal, Singh, and Kay, Dickersin
- Subjects
Analgesics ,Bipolar Disorder ,Cyclohexanecarboxylic Acids ,Correction ,Quetiapine Fumarate ,Meta-Analysis as Topic ,Research Design ,Data Interpretation, Statistical ,Patient-Centered Care ,Outcome Assessment, Health Care ,Humans ,Neuralgia ,Amines ,Gabapentin ,Selection Bias ,gamma-Aminobutyric Acid ,Antipsychotic Agents ,Systematic Reviews as Topic - Abstract
Systematic reviews should provide trustworthy guidance to decision-makers, but their credibility is challenged by the selective reporting of trial results and outcomes. Some trials are not published, and even among clinical trials that are published partially (e.g., as conference abstracts), many are never published in full. Although there are many potential sources of published and unpublished data for systematic reviews, there are no established methods for choosing among multiple reports or data sources about the same trial.We will conduct systematic reviews of the effectiveness and safety of two interventions following the Institute of Medicine (IOM) guidelines: (1) gabapentin for neuropathic pain and (2) quetiapine for bipolar depression. For the review of gabapentin, we will include adult participants with neuropathic pain who do not require ventilator support. For the review of quetiapine, we will include adult participants with acute bipolar depression (excluding mixed or rapid cycling episodes). We will compare these drugs (used alone or in combination with other interventions) with placebo or with the same intervention alone; direct comparisons with other medications will be excluded. For each review, we will conduct highly sensitive electronic searches, and the results of the searches will be assessed by two independent reviewers. Outcomes, study characteristics, and risk of bias ratings will be extracted from multiple reports by two individuals working independently, stored in a publicly available database (Systematic Review Data Repository) and analyzed using commonly available statistical software. In each review, we will conduct a series of meta-analyses using data from different sources to determine how the results are affected by the inclusion of data from multiple published sources (e.g., journal articles and conference abstracts) as well as unpublished aggregate data (e.g., "clinical study reports") and individual participant data (IPD). We will identify patient-centered outcomes in each report and identify differences in the reporting of these outcomes across sources.CRD42015014037 , CRD42015014038.
- Published
- 2015
8. Patient-centered Medical Home Capability and Clinical Performance in HRSA-supported Health Centers
- Author
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Marshall H. Chin, Alek Sripipatana, Jinsheng Zhu, Leiyu Shi, Preeta Chidambaran, Diana Lock, Lydie A. Lebrun-Harris, De Chih Lee, and Robert S. Nocon
- Subjects
Medical home ,Safety net ,media_common.quotation_subject ,Special needs ,Article ,Nursing ,Residence Characteristics ,Patient-Centered Care ,Health care ,Diabetes Mellitus ,Medicine ,Humans ,Early Detection of Cancer ,media_common ,Quality of Health Care ,business.industry ,Vaccination ,Public Health, Environmental and Occupational Health ,Primary care physician ,Payment ,United States ,Integrated care ,Outcome and Process Assessment, Health Care ,Socioeconomic Factors ,Scale (social sciences) ,Health Care Surveys ,Hypertension ,business ,Safety-net Providers - Abstract
The Patient-centered Medical Home (PCMH) model of care dates back to the 1960s, when it was originally conceived to improve care for children with special needs. The 7 core features of PCMH are: (1) a personal primary care physician, (2) a physician-directed medical practice, (3) whole person orientation, (4) coordinated or integrated care, (5) quality and safety, (6) enhanced access, and (7) payment reform.1 In the recent years, support for the expansion of PCMH has rapidly increased.2,3 Currently, the model is being applied through a growing number of demonstration projects, each with its own evaluation of effectiveness.4,5 One such application is through health centers (HCs), which receive funds from the Health Resources and Services Administration (HRSA) to provide primary care services to medically underserved populations.6 As of 2012, >21 million patients were served by HRSA-supported HCs.7 HCs are poised to implement the PCMH model as they have proven to be effective in providing comprehensive, accessible, and continuous primary care.8,9 HRSA’s PCMH initiative supports HCs’ efforts to adopt PCMH features and gain recognition by the National Committee for Quality Assurance, by providing education, training, technical assistance, and fee waivers for gaining recognition.10 By the end of fiscal year 2014, HRSA aims to have approximately 40% of HCs recognized.11 Although preliminary evaluations show that PCMHs promote improvements in health care access and quality,12–14 most report inconclusive results because of insufficient sample sizes to detect significant effects or lack of association between PCMH measures and clinical outcome.3 Large-scale evaluations of the PCMH model, particularly in safety-net settings like HCs, are needed. To address this gap, the current study evaluated the relationship between PCMH model adoption in HCs [as determined by the Safety Net Medical Home Scale (SNMHS)] and clinical performance measures, to determine if adoption of PCMH characteristics is associated with better clinical performance.
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- 2015
9. Flavored Tobacco Products in the United States: A Systematic Review Assessing Use and Attitudes
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Shari P. Feirman, Tianjing Li, David R. Holtgrave, Joanna E. Cohen, and Diana Lock
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medicine.medical_specialty ,Tobacco use ,Tobacco, Smokeless ,MEDLINE ,Alternative medicine ,PsycINFO ,computer.software_genre ,03 medical and health sciences ,Tobacco Use ,0302 clinical medicine ,Environmental health ,Medicine ,Humans ,030212 general & internal medicine ,Tobacco Use Epidemiology ,030505 public health ,business.industry ,United States Food and Drug Administration ,Smoking ,Public Health, Environmental and Occupational Health ,food and beverages ,Grey literature ,Tobacco Products ,United States ,Flavoring Agents ,Attitude ,Observational study ,Data mining ,0305 other medical science ,business ,computer ,Qualitative research - Abstract
Objectives We systematically reviewed research examining use of and attitudes toward nonmenthol-flavored tobacco products to provide information relevant to a decision to regulate these products in the future. Methods To identify eligible studies, we searched PubMed, CINHAL, Embase, LILACS, and PsycINFO on September 19, 2013, without date restrictions. We obtained additional studies via gray literature searches, expert contacts, and hand-searching citations of included articles. We included participants of all ages. We conducted a qualitative synthesis for included studies. Results The 32 studies included in this review exhibited substantial heterogeneity and were of varied methodological quality. Findings from observational, experimental, and quasiexperimental studies suggest that flavored tobacco use is associated with young age and that consumers may perceive flavored products more favorably than nonflavored products. Evidence from qualitative studies indicates that flavoring in tobacco is viewed favorably by users and nonusers of these products. Conclusions The Food and Drug Administration has expressed interest in regulating flavored tobacco products. This systematic review strengthens the evidence base relating to this issue by synthesizing the literature from the United States on the use of and attitudes toward flavored tobacco. To address gaps in the literature, more research is needed to understand how flavoring impacts tobacco use over time. The evidence base would further be strengthened with the collection of brand-, flavor-, and product-specific data.
- Published
- 2015
10. Toll-Free Vanity Telephone Numbers: Structuring a Trademark Registration and Dispute Settlement Regime
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Diana Lock
- Subjects
Law - Published
- 1999
- Full Text
- View/download PDF
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