Meta-analysis of survey data: application to health services research

Measuring inconsistency in meta-analyses

Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works

Meta-analysis in clinical trials

DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552 · see citing works

Quantifying heterogeneity in a meta‐analysis

Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works

Multiple Imputation for Nonresponse in Surveys

Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701 · see citing works

Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>

Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623 · see citing works

The Handbook of Research Synthesis.

Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,657 · see citing works

The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis

Jüni, P. (1999) · JAMA · doi:10.1001/jama.282.11.1054 · Cited by 1,981 · see citing works

Cognitive Interviewing: A Tool for Improving Questionnaire Design

Willis, G. (2004) · Cited by 1,934 · see citing works

Cognitive Interviewing

Willis, G. (2005) · doi:10.4135/9781412983655 · Cited by 1,778 · see citing works

Analysis of Variance

Iversen, G. R., & Norpoth, H. (1987) · Springer eBooks · doi:10.1007/978-3-642-04898-2_117 · Cited by 1,515 · see citing works

<i>meta-analysis</i> bias in location and selection of studies

Egger, M., & Smith, G. D. (1998) · BMJ · doi:10.1136/bmj.316.7124.61 · Cited by 1,374 · see citing works

Cumulative Meta-Analysis of Therapeutic Trials for Myocardial Infarction

Lau, J., Antman, E. M., Jimenez-Silva, J., Kupelnick, B., Mosteller, F., & Chalmers, T. C. (1992) · New England Journal of Medicine · doi:10.1056/nejm199207233270406 · Cited by 1,140 · see citing works

Analysis of Health Surveys

Korn, E. L., & Graubard, B. I. (1999) · Wiley eBooks · doi:10.1002/9781118032619 · Cited by 1,052 · see citing works

Analysis of Health Surveys

(2001) · Technometrics · doi:10.1198/tech.2001.s612 · Cited by 990 · see citing works

AMERICAN ASSOCIATION FOR PUBLIC OPINION RESEARCH

STAR, S. A. (1980) · Public Opinion Quarterly · doi:10.1093/poq/44.3.420 · Cited by 819 · see citing works

Medical Groups’ Adoption Of Electronic Health Records And Information Systems

Gans, D. N., Kralewski, J. E., Hammons, T., & Dowd, B. E. (2005) · Health Affairs · doi:10.1377/hlthaff.24.5.1323 · Cited by 403 · see citing works

A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis

Lambert, P. C., Sutton, A. J., Abrams, K. R., & Jones, D. R. (2002) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00414-0 · Cited by 396 · see citing works

Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care

Lau, J., Schmid, C. H., & Chalmers, T. C. (1995) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(94)00106-z · Cited by 358 · see citing works

How Common Are Electronic Health Records In The United States? A Summary Of The Evidence: About one-fourth of U.S. physician practices are now using an EHR, according to the results of high-quality surveys.

Jha, A. K., Ferris, T. G., Donelan, K., DesRoches, C., Shields, A., Rosenbaum, S., & Blumenthal, D. (2006) · Health Affairs · doi:10.1377/hlthaff.25.w496 · Cited by 304 · see citing works

A systematic review and meta-analysis of studies comparing mortality rates of private for-profit and private not-for-profit hospitals.

Devereaux, P. J., Choi, P. T. L., Lacchetti, C., Weaver, B., Schünemann, H. J., Haines, T., Lavis, J. N., Grant, B. J. B., Haslam, D. R. S., Bhandari, M., et al. (2002) · Europe PMC (PubMed Central) · Cited by 263 · see citing works

Meta-regression detected associations between heterogeneous treatment effects and study-level, but not patient-level, factors

Schmid, C. H., Stark, P. C., Berlin, J. A., Landais, P., & Lau, J. (2004) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2003.12.001 · Cited by 245 · see citing works

If electronic medical records are so great, why aren't family physicians using them?

Loomis, G. A., Ries, J., Saywell, R. M., & Thakker, N. (2002) · PubMed · Cited by 192 · see citing works

Health care finance

Vogel, R. J. (1983) · Social Science & Medicine · doi:10.1016/0277-9536(83)90205-8 · Cited by 161 · see citing works

Information technologies: when will they make it into physicians' black bags?

Audet, A., Doty, M. M., Peugh, J., Shamasdin, J., Zapert, K., & Schoenbaum, S. C. (2004) · PubMed Central · Cited by 153 · see citing works

Problems induced by meta-analyses.

Chalmers, T. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100618 · Cited by 148 · see citing works

Multiple-Frame Surveys

Lohr, S. L. (2009) · Handbook of statistics · doi:10.1016/s0169-7161(08)00004-7 · Cited by 139 · see citing works

An Evaluation of Statistical Matching

Rodgers, W. L. (1984) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1984.10509373 · Cited by 129 · see citing works

Health Information Technology in the United States: The Information Base for Progress

Blumenthal, D., DesRoches, C. M., Donelan, K., Rosenbaum, S., & Ferris, T. G. G. (2006) · Cited by 102 · see citing works

Measuring the Quality of Trials

Berlin, J. A., & Rennie, D. (1999) · JAMA · doi:10.1001/jama.282.11.1083 · Cited by 102 · see citing works

Inference from Dual Frame Surveys

Lohr, S. L., & Rao, J. N. K. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473920 · Cited by 91 · see citing works

Combining information from multiple surveys to enhance estimation of measures of health

Nathaniel Schenker, A., & Raghunathan, T. E. (2007) · Statistics in Medicine · doi:10.1002/sim.2801 · Cited by 89 · see citing works

Statistical Matching: A Paradigm for Assessing the Uncertainty in the Procedure

Moriarity, C., & Scheuren, F. J. (2001) · Journal of Official Statistics · Cited by 77 · see citing works

Some Statistical Problems in Merging Data Files

Kadane, J. B. (2001) · Journal of Official Statistics · Cited by 60 · see citing works

Combining health plan performance indicators into simpler composite measures.

Zaslavsky, A. M., Shaul, J. A., Zaborski, L. B., et al. (2002) · PubMed · Cited by 47 · see citing works

Obtaining Cancer Risk Factor Prevalence Estimates in Small Areas: Combining Data from Two Surveys

Elliott, M. R., & Davis, W. W. (2005) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/j.1467-9876.2005.05459.x · Cited by 34 · see citing works

APPLYING THE LAW OF ITERATED LOGARITHM TO CUMULATIVE META-ANALYSIS OF A CONTINUOUS ENDPOINT

Lan, K. K. G., Hu, M., & Cappelleri, J. C. (2003) · Cited by 30 · see citing works

Constructing a database of individual clinical trials for longitudinal analysis

Schmid, C. H., Landa, M., Jafar, T. H., Giatras, I., Karim, T., Reddy, M., Stark, P. C., & Levey, A. S. (2003) · Controlled Clinical Trials · doi:10.1016/s0197-2456(02)00319-7 · Cited by 26 · see citing works

Inference and decision in clinical trials

Armitage, P. (1989) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(89)90033-4 · Cited by 24 · see citing works

Combining Estimates from Complementary Surveys: A Case Study Using Prevalence Estimates from National Health Surveys of Households and Nursing Homes

Schenker, N. (2002) · Public Health Reports · doi:10.1093/phr/117.4.393 · Cited by 23 · see citing works

Improving comparability of existing data by response conversion

van Buuren, S., Eyres, S., Tennant, A., & Hopman-Rock, M. (2005) · Utrecht University Repository (Utrecht University) · Cited by 15 · see citing works

Combining estimates from complementary surveys: a case study using prevalence estimates from national health surveys of households and nursing homes

Schenker, N., Gentleman, J. F., Rose, D., et al. (2002) · Public Health Reports · doi:10.1016/s0033-3549(04)50177-2 · Cited by 15 · see citing works

Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data

Munn, Z., Moola, S., Lisy, K., Riitano, D., & Tufanaru, C. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000054 · Cited by 3,131 · see citing works

How are systematic reviews of prevalence conducted? A methodological study

on behalf of the Prevalence Estimates Reviews – Systematic Review Methodology Group (PERSyst), Borges Migliavaca, C., Stein, C., Colpani, V., Barker, T. H., Munn, Z., & Falavigna, M. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-00975-3 · Cited by 359 · see citing works

Estimating the number of persons who inject drugs in the United States by meta-analysis to calculate national rates of HIV and hepatitis C virus infections.

Lansky, A., Finlayson, T., Johnson, C., Holtzman, D., Wejnert, C., Mitsch, A., Gust, D., Chen, R., Mizuno, Y., & Crepaz, N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097596 · Cited by 235 · see citing works

The 39th international conference of the EURO working group on operational research applied to health services: ORAHS 2013 special issue

Çayırlı, T., Günal, M. M., Güneş, E. D., et al. (2015) · Health Care Management Science · doi:10.1007/s10729-015-9322-6 · Cited by 3 · see citing works

Can short lists facilitate the collection of data on diagnosis, intervention and presenting issue in community health and outpatient care services?

Fodero, L., & Scuteri, J. (2008) · BMC Health Services Research · doi:10.1186/1472-6963-8-s1-a14

Erratum to: ‘Integrating evidence-based practices for increasing cancer screenings in safety net health systems: a multiple case study using the Consolidated Framework for Implementation Research’

Liang, S., Kegler, M. C., Cotter, M. M., et al. (2015) · Implementation Science · doi:10.1186/s13012-016-0494-3 · Cited by 2 · see citing works

How can strategies to address mental ill-health in doctors and medical students be optimised? The interplay of intervention and implementation identified in the 'Care Under Pressure' realist review

Pearson, M., Carrieri, D., Mattick, K. L., et al. (2020) · Implementation Science

Correction to: Implementation of innovative medical technologies in German inpatient care: patterns of utilization and evidence development

Dreger, M., Eckhardt, H., Felgner, S., et al. (2022) · Implementation Science · doi:10.1186/s13012-022-01187-7 · Cited by 1 · see citing works