Faculty Bibliography

Adult hospitalized patients are at risk for malnutrition. The sensitivity and specificity of screening tools were compared with Subjective Global Assessment. Methods included a systematic review using PubMed, CINAHL Plus, and EMBASE through April 2014. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies method. The results showed that the Malnutrition Universal Screening Tool, Nutrition Risk Screening-2002, and Malnutrition Screening Tool were most frequently tested. The specificity was generally good (>80%), but sensitivity was variable. Malnutrition Universal Screening Tool, Nutrition Risk Screening-2002, and Malnutrition Screening Tool are screening tools that consider population characteristics and risk cut points and are easy to administer.

A need was identified by the Department of Population Health (DPH) for an academic medical center to facilitate research using large, externally funded datasets. Barriers identified included difficulty in accessing and working with the datasets, and a lack of knowledge about institutional licenses. A need to facilitate sharing and reuse of datasets generated by researchers at the institution (internal datasets) was also recognized. The library partnered with a researcher in the DPH to create a catalog of external datasets, which provided detailed metadata and access instructions. The catalog listed researchers at the medical center and the main campus with expertise in using these external datasets in order to facilitate research and cross-campus collaboration. Data description standards were reviewed to create a set of metadata to facilitate access to both externally generated datasets, as well as the internally generated datasets that would constitute the next phase of development of the catalog. Interviews with a range of investigators at the institution identified DPH researchers as most interested in data sharing, therefore targeted outreach to this group was undertaken. Initial outreach resulted in additional external datasets being described, new local experts volunteering, proposals for additional functionality, and interest from researchers in inclusion of their internal datasets in the catalog. Despite limited outreach, the catalog has had ~250 unique page views in the three months since it went live. The establishment of the catalog also led to partnerships with the medical center’s data management core and the main university library. The Data Catalog in its present state serves a direct user need from the Department of Population Health to describe large, externally funded datasets. The library will use this initial strong community of users to expand the catalog and include internally generated research datasets. Future expansion plans will include working with DataCore and the main university library

OBJECTIVE: The research obtained information to plan data-related products and services. METHODS: Biomedical researchers in an academic medical center were selected using purposive sampling and interviewed using open-ended questions based on a literature review. Interviews were conducted until saturation was achieved. RESULTS: Interview responses informed library planners about researchers' key data issues. CONCLUSIONS: This approach proved valuable for planning data management products and services and raising library visibility among clients in the research data realm.

CONTEXT: Active surveillance (AS) is an important strategy to reduce prostate cancer overtreatment. However, the optimal criteria for eligibility and predictors of progression while on AS are debated. OBJECTIVE: To review primary data on markers, genetic factors, and risk stratification for patient selection and predictors of progression during AS. EVIDENCE ACQUISITION: Electronic searches were conducted in PubMed, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to April 2014 for original articles on biomarkers and risk stratification for AS. EVIDENCE SYNTHESIS: Patient factors associated with AS outcomes in some studies include age, race, and family history. Multiple studies provide consistent evidence that a lower percentage of free prostate-specific antigen (PSA), a higher Prostate Health Index (PHI), a higher PSA density (PSAD), and greater biopsy core involvement at baseline predict a greater risk of progression. During follow-up, serial measurements of PHI and PSAD, as well as repeat biopsy results, predict later biopsy progression. While some studies have suggested a univariate relationship between urinary prostate cancer antigen 3 (PCA3) and transmembrane protease, serine 2-v-ets avian erythroblastosis virus E26 oncogene homolog gene fusion (TMPRSS2:ERG) with adverse biopsy features, these markers have not been consistently shown to independently predict AS outcomes. No conclusive data support the use of genetic tests in AS. Limitations of these studies include heterogeneous definitions of progression and limited follow-up. CONCLUSIONS: There is a growing body of literature on patient characteristics, biopsy features, and biomarkers with potential utility in AS. More data are needed on practical applications such as combining these tests into multivariable clinical algorithms and long-term outcomes to further improve AS in the future. PATIENT SUMMARY: Several PSA-based tests (free PSA, PHI, PSAD) and the extent of cancer on biopsy can help to stratify the risk of progression during active surveillance. Investigation of several other markers is under way.

BACKGROUND: The US Preventive Services Task Force recommends screening for and treating obesity. However, there are many barriers to successfully treating obesity in primary care (PC). Technology-assisted weight loss interventions offer novel ways of improving treatment, but trials are overwhelmingly conducted outside of PC and may not translate well into this setting. We conducted a systematic review of technology-assisted weight loss interventions specifically tested in PC settings. METHODS: We searched the literature from January 2000 to March 2014. INCLUSION CRITERIA: (1) Randomized controlled trial; (2) trials that utilized the Internet, personal computer, and/or mobile device; and (3) occurred in an ambulatory PC setting. We applied the Cochrane Effective Practice and Organization of Care (EPOC) and Delphi criteria to assess bias and the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) criteria to assess pragmatism (whether trials occurred in the real world versus under ideal circumstances). Given heterogeneity, results were not pooled quantitatively. RESULTS: Sixteen trials met inclusion criteria. Twelve (75 %) interventions achieved weight loss (range: 0.08 kg - 5.4 kg) compared to controls, while 5-45 % of patients lost at least 5 % of baseline weight. Trial duration and attrition ranged from 3-36 months and 6-80 %, respectively. Ten (63 %) studies reported results after at least 1 year of follow-up. Interventions used various forms of personnel, technology modalities, and behavior change elements; trials most frequently utilized medical doctors (MDs) (44 %), web-based applications (63 %), and self-monitoring (81 %), respectively. Interventions that included clinician-guiding software or feedback from personnel appeared to promote more weight loss than fully automated interventions. Only two (13 %) studies used publically available technologies. Many studies had fair pragmatism scores (mean: 2.8/4), despite occurring in primary care. DISCUSSION: Compared to usual care, technology-assisted interventions in the PC setting help patients achieve weight loss, offering evidence-based options to PC providers. However, best practices remain undetermined. Despite occurring in PC, studies often fall short in utilizing pragmatic methodology and rarely provide publically available technology. Longitudinal, pragmatic, interdisciplinary, and open-source interventions are needed.

OBJECTIVES: In response to the lack of evidence-based guidance for how to continue scaling up antiretroviral therapy (ART) in ways that make optimal use of limited resources, to assess comparative studies of ART service delivery models implemented in sub-Saharan Africa. METHODS: A systematic literature search and analysis of studies that compared two or more methods of ART service delivery using either CD4 count or viral load as a primary outcome. RESULTS: Most studies identified in this review were small and non-randomised, with low statistical power. Four of the 30 articles identified by this review conclude that nurse management of ART compares favourably to physician management. Seven provide evidence of the viability of managing ART at lower levels within the health system, and one indicates that vertical and integrated ART programmes can achieve similar outcomes. Five articles show that community/home-based ART management can be as effective as facility-based ART management. Five of seven articles investigating community support link it to better clinical outcomes. The results of four studies suggest that directly observed therapy may not be an important component of ART programmes. CONCLUSIONS: Given that the scale-up of antiretroviral therapy represents the most sweeping change in healthcare delivery in sub-Saharan Africa in recent years, it is surprising to not find more evidence from comparative studies to inform implementation strategies. The studies reported on a wide range of service delivery models, making it difficult to draw conclusions about some models. The strongest evidence was related to the feasibility of decentralisation and task-shifting, both of which appear to be effective strategies.

PURPOSE: Describe the relationship between medical students' self-assessment and goal-setting (SAGS) skills and development of interviewing skills during the first-year doctoring course. METHOD: 157 first-year medical students completed three two-case standardized patient (SP) interviews. After each of the first two, students viewed videotapes of their interview, completed a SAGS worksheet, and reviewed a selected tape segment in a seminar. SAGS was categorized into good and poor quality and interviewing skills were rated by trained raters. RESULTS: SAGS improved over time (37% good week 1 vs. 61% good week 10). Baseline SAGS and interviewing skills were not associated. Initial SAGS quality was associated with change in interviewing skills - those with poor-quality SAGS demonstrated a decrease and those with good-quality SAGS demonstrated an increase in scores by 17 weeks (ANOVA F=4.16, p=0.024). For students whose SAGS skills were good at both week 1 and 10, interviewing skills declined in weeks 1-10 and then increased significantly at week 17. For those whose SAGS remained 'poor' in weeks 1-10, interviewing skills declined in weeks 10-17. CONCLUSIONS: In general, the quality of students' SAGS improved over time. Poor baseline SAGS skills and failure to improve were associated with a decrease in interviewing skills at 17 weeks. For students with better SAGS, interviewing skills increased at week 17. Improvement in SAGS skills was not associated with improved interviewing skills. Understanding structured self-assessment skills helps identify student characteristics that influence progressive mastery of communication skills and therefore may inform curriculum and remediation tailoring.