collection
MENU ▼
Read by QxMD icon Read
search

Health services research methods

shared collection
140 papers 25 to 100 followers Drug and device development, pivotal clinical trials, post-market studies, quasi experimental research methods, registry trials , methods to reduce bias in analysis , trial / study design issues
By Jamie Jarmul Md / PhD student at UNC - Chapel Hill, PhD in Health Policy and Management
https://www.readbyqxmd.com/read/27885709/the-median-hazard-ratio-a-useful-measure-of-variance-and-general-contextual-effects-in-multilevel-survival-analysis
#1
Peter C Austin, Philippe Wagner, Juan Merlo
Multilevel data occurs frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models (MLRM). MLRM incorporate cluster-specific random effects which allow one to partition the total individual variance into between-cluster variation and between-individual variation. Statistically, MLRM account for the dependency of the data within clusters and provide correct estimates of uncertainty around regression coefficients...
November 25, 2016: Statistics in Medicine
https://www.readbyqxmd.com/read/27873305/adjusting-health-expenditures-for-inflation-a-review-of-measures-for-health-services-research-in-the-united-states
#2
Abe Dunn, Scott D Grosse, Samuel H Zuvekas
OBJECTIVE: To provide guidance on selecting the most appropriate price index for adjusting health expenditures or costs for inflation. DATA SOURCES: Major price index series produced by federal statistical agencies. STUDY DESIGN: We compare the key characteristics of each index and develop suggestions on specific indexes to use in many common situations and general guidance in others. DATA COLLECTION/EXTRACTION METHODS: Price series and methodological documentation were downloaded from federal websites and supplemented with literature scans...
November 21, 2016: Health Services Research
https://www.readbyqxmd.com/read/27845180/methodological-challenges-and-time-to-event-techniques-in-register-based-health-services-research
#3
Tobias Bluhmki, Peter Bramlage, Michael Volk, Matthias Kaltheuner, Thomas Danne, Wolfgang Rathmann, Jan Beyersmann
OBJECTIVE: Complex longitudinal sampling and the observational structure of patient registers in health services research are associated with methodological challenges regarding data management and statistical evaluation. We exemplify common pitfalls and want to stimulate discussions on the design, development, and deployment of future longitudinal patient registers and register-based studies. STUDY DESIGN AND SETTING: For illustrative purposes, we employ data from the prospective, observational, German DIabetes Versorgungs-Evaluation (DIVE) register...
November 11, 2016: Journal of Clinical Epidemiology
https://www.readbyqxmd.com/read/27864915/identification-of-emergency-department-visits-in-medicare-administrative-claims-approaches-and-implications
#4
Arjun K Venkatesh, Hao Mei, Keith Kocher, Mike Granovsky, Ziad Obermeyer, Erica Spatz, Craig Rothenberg, Harlan Krumholz, Zhenqui Lin
OBJECTIVES: Administrative claims datasets are often used for emergency care research and policy investigations of healthcare resource utilization, acute care practices, and evaluation of quality improvement interventions. Despite the high profile of emergency department (ED) visits in analyses using administrative claims, little work has evaluated the degree to which existing definitions based on claims data accurately captures conventionally defined hospital-based ED services. We sought to construct an operational definition for ED visitation using a comprehensive Medicare dataset and to compare this definition to existing operational definitions used by researchers and policymakers...
November 19, 2016: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine
https://www.readbyqxmd.com/read/27358078/a-national-evaluation-of-a-dissemination-and-implementation-initiative-to-enhance-primary-care-practice-capacity-and-improve-cardiovascular-disease-care-the-escalates-study-protocol
#5
Deborah J Cohen, Bijal A Balasubramanian, Leah Gordon, Miguel Marino, Sarah Ono, Leif I Solberg, Benjamin F Crabtree, Kurt C Stange, Melinda Davis, William L Miller, Laura J Damschroder, K John McConnell, John Creswell
BACKGROUND: The Agency for Healthcare Research and Quality (AHRQ) launched the EvidenceNOW Initiative to rapidly disseminate and implement evidence-based cardiovascular disease (CVD) preventive care in smaller primary care practices. AHRQ funded eight grantees (seven regional Cooperatives and one independent national evaluation) to participate in EvidenceNOW. The national evaluation examines quality improvement efforts and outcomes for more than 1500 small primary care practices (restricted to those with fewer than ten physicians per clinic)...
June 29, 2016: Implementation Science: IS
https://www.readbyqxmd.com/read/27332474/structural-equation-model-of-health-promoting-behaviors-for-health-information-seekers-with-mobile
#6
Hanna Choi, Jeongeun Kim, Ahjung Byun
This study was conducted on verifying whether variables such as prior health related behaviors, health literacy, interpersonal influence, perceived ease of use and usefulness of health information, and behavioral intention could predict actual health promoting behaviors of consumers using health information with mobile in the future. The research model was based on Technology Acceptance Model. Data were collected from 199 mobile health information seekers. Participants' actual health promoting behaviors were checked after 3 months from pre-data collection...
2016: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27126144/breaking-narrative-ground-innovative-methods-for-rigorously-eliciting-and-assessing-patient-narratives
#7
Rachel Grob, Mark Schlesinger, Andrew M Parker, Dale Shaller, Lacey Rose Barre, Steven C Martino, Melissa L Finucane, Lise Rybowski, Jennifer L Cerully
OBJECTIVE: To design a methodology for rigorously eliciting narratives about patients' experiences with clinical care that is potentially useful for public reporting and quality improvement. DATA SOURCES/STUDY SETTING: Two rounds of experimental data (N = 48 each) collected in 2013-2014, using a nationally representative Internet panel. STUDY DESIGN: Our study (1) articulates and operationalizes criteria for assessing narrative elicitation protocols; (2) establishes a "gold standard" for assessment of such protocols; and (3) creates and tests a protocol for narratives about outpatient treatment experiences...
June 2016: Health Services Research
https://www.readbyqxmd.com/read/27048702/geographic-localization-the-need-for-better-reporting-and-outcome-selection
#8
Krysta Johnson-Martinez, Rebecca Wheeler, Carolyn Clevenger, Anne Tomolo
No abstract text is available yet for this article.
September 2016: American Journal of Medical Quality: the Official Journal of the American College of Medical Quality
https://www.readbyqxmd.com/read/25772745/measuring-prices-in-health-care-markets-using-commercial-claims-data
#9
Hannah T Neprash, Jacob Wallace, Michael E Chernew, J Michael McWilliams
OBJECTIVE: To compare methods of price measurement in health care markets. DATA SOURCES: Truven Health Analytics MarketScan commercial claims. STUDY DESIGN: We constructed medical prices indices using three approaches: (1) a "sentinel" service approach based on a single common service in a specific clinical domain, (2) a market basket approach, and (3) a spending decomposition approach. We constructed indices at the Metropolitan Statistical Area level and estimated correlations between and within them...
December 2015: Health Services Research
https://www.readbyqxmd.com/read/25809691/bayesian-regression-discontinuity-designs-incorporating-clinical-knowledge-in-the-causal-analysis-of-primary-care-data
#10
Sara Geneletti, Aidan G O'Keeffe, Linda D Sharples, Sylvia Richardson, Gianluca Baio
The regression discontinuity (RD) design is a quasi-experimental design that estimates the causal effects of a treatment by exploiting naturally occurring treatment rules. It can be applied in any context where a particular treatment or intervention is administered according to a pre-specified rule linked to a continuous variable. Such thresholds are common in primary care drug prescription where the RD design can be used to estimate the causal effect of medication in the general population. Such results can then be contrasted to those obtained from randomised controlled trials (RCTs) and inform prescription policy and guidelines based on a more realistic and less expensive context...
July 10, 2015: Statistics in Medicine
https://www.readbyqxmd.com/read/25773551/cost-effectiveness-analysis-alongside-clinical-trials-ii-an-ispor-good-research-practices-task-force-report
#11
REVIEW
Scott D Ramsey, Richard J Willke, Henry Glick, Shelby D Reed, Federico Augustovski, Bengt Jonsson, Andrew Briggs, Sean D Sullivan
Clinical trials evaluating medicines, medical devices, and procedures now commonly assess the economic value of these interventions. The growing number of prospective clinical/economic trials reflects both widespread interest in economic information for new technologies and the regulatory and reimbursement requirements of many countries that now consider evidence of economic value along with clinical efficacy. As decision makers increasingly demand evidence of economic value for health care interventions, conducting high-quality economic analyses alongside clinical studies is desirable because they broaden the scope of information available on a particular intervention, and can efficiently provide timely information with high internal and, when designed and analyzed properly, reasonable external validity...
March 2015: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/25803659/a-review-and-comparison-of-methods-for-recreating-individual-patient-data-from-published-kaplan-meier-survival-curves-for-economic-evaluations-a-simulation-study
#12
COMPARATIVE STUDY
Xiaomin Wan, Liubao Peng, Yuanjian Li
BACKGROUND: In general, the individual patient-level data (IPD) collected in clinical trials are not available to independent researchers to conduct economic evaluations; researchers only have access to published survival curves and summary statistics. Thus, methods that use published survival curves and summary statistics to reproduce statistics for economic evaluations are essential. Four methods have been identified: two traditional methods 1) least squares method, 2) graphical method; and two recently proposed methods by 3) Hoyle and Henley, 4) Guyot et al...
2015: PloS One
https://www.readbyqxmd.com/read/25752473/using-medical-claims-for-policy-effectiveness-surveillance-reimbursement-and-utilization-of-abdomen-pelvis-computed-tomography-scans
#13
Michal Horný, Jake R Morgan, Vanessa L Merker
OBJECTIVE: To quantify changes in private insurance payments for and utilization of abdominal/pelvic computed tomography scans (CTs) after 2011 changes in CPT coding and Medicare reimbursement rates, which were designed to reduce costs stemming from misvalued procedures. DATA SOURCES: TruvenHealth Analytics MarketScan Commercial Claims and Encounters database. STUDY DESIGN: We used difference-in-differences models to compare combined CTs of the abdomen/pelvis to CTs of the abdomen or pelvis only...
December 2015: Health Services Research
https://www.readbyqxmd.com/read/25757356/do-racial-ethnic-disparities-in-quality-and-patient-experience-within-medicare-plans-generalize-across-measures-and-racial-ethnic-groups
#14
Robert Weech-Maldonado, Marc N Elliott, John L Adams, Amelia M Haviland, David J Klein, Katrin Hambarsoomian, Carol Edwards, Jacob W Dembosky, Sarah Gaillot
OBJECTIVE: To examine how similar racial/ethnic disparities in clinical quality (Healthcare Effectiveness Data and Information Set [HEDIS]) and patient experience (Consumer Assessment of Healthcare Providers and Systems [CAHPS]) measures are for different measures within Medicare Advantage (MA) plans. DATA SOURCES/STUDY SETTING: 5.7 million/492,495 MA beneficiaries with 2008-2009 HEDIS/CAHPS data. STUDY DESIGN: Binomial (HEDIS) and linear (CAHPS) hierarchical mixed models generated contract estimates for HEDIS/CAHPS measures for Hispanics, blacks, Asian-Pacific Islanders, and whites...
December 2015: Health Services Research
https://www.readbyqxmd.com/read/25759144/imputing-missing-race-ethnicity-in-pediatric-electronic-health-records-reducing-bias-with-use-of-u-s-census-location-and-surname-data
#15
Robert W Grundmeier, Lihai Song, Mark J Ramos, Alexander G Fiks, Marc N Elliott, Allen Fremont, Wilson Pace, Richard C Wasserman, Russell Localio
OBJECTIVE: To assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. DATA SOURCES/STUDY SETTING: Electronic health record data from 30 pediatric practices with known race/ethnicity. STUDY DESIGN: In a simulation experiment, we constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity...
August 2015: Health Services Research
https://www.readbyqxmd.com/read/25759433/increased-statin-prescribing-does-not-lower-pneumonia-risk
#16
Linnea A Polgreen, Elizabeth A Cook, John M Brooks, Yuexin Tang, Philip M Polgreen
BACKGROUND: Investigators have attributed protective effects of statins against pneumonia and other infections. However, these reports are based on observational data where treatments are not assigned randomly. We aimed to determine if the protective effects of statins against pneumonia are due to nonrandom treatment assignment. METHODS: We built a cohort consisting of 124 695 Medicare beneficiaries diagnosed with an acute myocardial infarction (AMI) for which we had complete claims data...
June 15, 2015: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
https://www.readbyqxmd.com/read/25745504/the-individualistic-fallacy-ecological-studies-and-instrumental-variables-a-causal-interpretation
#17
Tom Loney, Nico J Nagelkerke
The validity of ecological studies in epidemiology for inferring causal relationships has been widely challenged as observed associations could be biased by the Ecological Fallacy. We reconsider the important design components of ecological studies, and discuss the conditions that may lead to spurious associations. Ecological associations are useful and valid when the ecological exposures can be interpreted as Instrumental Variables. A suitable example may be a time series analysis of environmental pollution (e...
2014: Emerging Themes in Epidemiology
https://www.readbyqxmd.com/read/25744106/sample-size-determination-for-logistic-regression-on-a-logit-normal-distribution
#18
Seongho Kim, Elisabeth Heath, Lance Heilbrun
Although the sample size for simple logistic regression can be readily determined using currently available methods, the sample size calculation for multiple logistic regression requires some additional information, such as the coefficient of determination ([Formula: see text]) of a covariate of interest with other covariates, which is often unavailable in practice. The response variable of logistic regression follows a logit-normal distribution which can be generated from a logistic transformation of a normal distribution...
March 4, 2015: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/25707010/accounting-for-informatively-missing-data-in-logistic-regression-by-means-of-reassessment-sampling
#19
COMPARATIVE STUDY
Ji Lin, Robert H Lyles
We explore the 'reassessment' design in a logistic regression setting, where a second wave of sampling is applied to recover a portion of the missing data on a binary exposure and/or outcome variable. We construct a joint likelihood function based on the original model of interest and a model for the missing data mechanism, with emphasis on non-ignorable missingness. The estimation is carried out by numerical maximization of the joint likelihood function with close approximation of the accompanying Hessian matrix, using sharable programs that take advantage of general optimization routines in standard software...
May 20, 2015: Statistics in Medicine
https://www.readbyqxmd.com/read/25720498/evaluation-of-multi-outcome-longitudinal%C3%A2-studies
#20
Signe M Jensen, Christian B Pipper, Christian Ritz
Evaluation of intervention effects on multiple outcomes is a common scenario in clinical studies. In longitudinal studies, such evaluation is a challenge if one wishes to adequately capture simultaneous data behavior. In this situation, a common approach is to analyze each outcome separately. As a result, multiple statistical statements describing the intervention effect need to be reported and an adjustment for multiple testing is necessary. This is typically done by means of the Bonferroni procedure, which does not take into account the correlation between outcomes, thus resulting in overly conservative conclusions...
May 30, 2015: Statistics in Medicine
label_collection
label_collection
3744
1
2
2015-03-10 18:01:27
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"