Literature DB >> 26150118

Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements.

Roxanne M Andrews1.   

Abstract

OBJECTIVES: To provide an overview of statewide hospital discharge databases (HDD), including their uses in health services research and limitations, and to describe Agency for Healthcare Research and Quality (AHRQ) Enhanced State Data grants to address clinical and race-ethnicity data limitations. PRINCIPAL
FINDINGS: Almost all states have statewide HDD collected by public or private data organizations. Statewide HDD, based on the hospital claim with state variations, contain useful core variables and require minimal collection burden. AHRQ's Healthcare Cost and Utilization Project builds uniform state and national research files using statewide HDD. States, hospitals, and researchers use statewide HDD for many purposes. Illustrating researchers' use, during 2012-2014, HSR published 26 HDD-based articles on health policy, access, quality, clinical aspects of care, race-ethnicity and insurance impacts, economics, financing, and research methods. HDD have limitations affecting their use. Five AHRQ grants focused on enhancing clinical data and three grants aimed at improving race-ethnicity data.
CONCLUSION: ICD-10 implementation will significantly affect the HDD. The AHRQ grants, information technology advances, payment policy changes, and the need for outpatient information may stimulate other statewide HDD changes. To remain a mainstay of health services research, statewide HDD need to keep pace with changing user needs while minimizing collection burdens. © Health Research and Educational Trust.

Entities:  

Keywords:  Administrative data; clinical data; ethnicity; hospital; race

Mesh:

Year:  2015        PMID: 26150118      PMCID: PMC4545332          DOI: 10.1111/1475-6773.12343

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  67 in total

1.  Lessons learned in using hospital discharge data for state and national public health surveillance: implications for Centers for Disease Control and prevention tracking program.

Authors:  Denise Love; Barbara Rudolph; Gulzar H Shah
Journal:  J Public Health Manag Pract       Date:  2008 Nov-Dec

2.  Access to clinically-detailed patient information: a fundamental element for improving the efficiency and quality of healthcare.

Authors:  Rodney A Hayward
Journal:  Med Care       Date:  2008-03       Impact factor: 2.983

3.  American Recovery and Reinvestment Act investments in data infrastructure.

Authors:  Bonnie O'Day; Tessa Kieffer; Sarah Forrestal; Dominick Esposito
Journal:  J Comp Eff Res       Date:  2014-11       Impact factor: 1.744

4.  Facing the recession: how did safety-net hospitals fare financially compared with their peers?

Authors:  Kristin L Reiter; H Joanna Jiang; Jia Wang
Journal:  Health Serv Res       Date:  2014-09-15       Impact factor: 3.402

5.  Using computer-extracted data from electronic health records to measure the quality of adolescent well-care.

Authors:  William Gardner; Suzanne Morton; Sepheen C Byron; Aldo Tinoco; Benjamin D Canan; Karen Leonhart; Vivian Kong; Sarah Hudson Scholle
Journal:  Health Serv Res       Date:  2014-01-29       Impact factor: 3.402

6.  The impact of continuous Medicaid enrollment on diagnosis, treatment, and survival in six surgical cancers.

Authors:  Aaron J Dawes; Rachel Louie; David K Nguyen; Melinda Maggard-Gibbons; Punam Parikh; Susan L Ettner; Clifford Y Ko; David S Zingmond
Journal:  Health Serv Res       Date:  2014-09-26       Impact factor: 3.402

7.  Temporal changes in survival after cardiac surgery are associated with the thirty-day mortality benchmark.

Authors:  Bryan G Maxwell; Jim K Wong; D Craig Miller; Robert L Lobato
Journal:  Health Serv Res       Date:  2014-04-09       Impact factor: 3.402

8.  Building electronic data infrastructure for comparative effectiveness research: accomplishments, lessons learned and future steps.

Authors:  Gurvaneet S Randhawa
Journal:  J Comp Eff Res       Date:  2014-11       Impact factor: 1.744

Review 9.  Administrative and claims records as sources of health care cost data.

Authors:  Gerald F Riley
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

10.  Cutting medicare hospital prices leads to a spillover reduction in hospital discharges for the nonelderly.

Authors:  Chapin White
Journal:  Health Serv Res       Date:  2014-05-21       Impact factor: 3.734

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  18 in total

1.  Enhancing the Value of Statewide Hospital Discharge Data: Improving Clinical Content and Race-Ethnicity Data.

Authors:  Roxanne M Andrews; Kevin A Schulman
Journal:  Health Serv Res       Date:  2015-08       Impact factor: 3.402

2.  Disparities in Potentially Preventable Hospitalizations: Near-National Estimates for Hispanics.

Authors:  Chen Feng; Michael K Paasche-Orlow; Nancy R Kressin; Jennifer E Rosen; Lenny López; Eun Ji Kim; Meng-Yun Lin; Amresh D Hanchate
Journal:  Health Serv Res       Date:  2017-04-04       Impact factor: 3.402

3.  African American/white disparities in psychiatric emergencies among youth following rapid expansion of Federally Qualified Health Centers.

Authors:  Tim A Bruckner; Parvati Singh; Jangho Yoon; Bharath Chakravarthy; Lonnie R Snowden
Journal:  Health Serv Res       Date:  2019-11-10       Impact factor: 3.402

4.  How Have 30-Day Readmission Penalties Affected Racial Disparities in Readmissions?: an Analysis from 2007 to 2014 in Five US States.

Authors:  Cameron M Kaplan; Michael P Thompson; Teresa M Waters
Journal:  J Gen Intern Med       Date:  2019-02-08       Impact factor: 5.128

5.  Racial/Ethnic Disparities/Differences in Hysterectomy Route in Women Likely Eligible for Minimally Invasive Surgery.

Authors:  Lisa M Pollack; Margaret A Olsen; Sarah J Gehlert; Su-Hsin Chang; Jerry L Lowder
Journal:  J Minim Invasive Gynecol       Date:  2019-09-10       Impact factor: 4.137

6.  Trends and Variations in Emergency Department Use Associated With Diabetes in the US by Sociodemographic Factors, 2008-2017.

Authors:  Tegveer S Uppal; Puneet Kaur Chehal; Gail Fernandes; J Sonya Haw; Megha Shah; Sara Turbow; Swapnil Rajpathak; K M Venkat Narayan; Mohammed K Ali
Journal:  JAMA Netw Open       Date:  2022-05-02

7.  Composite neonatal morbidity indicators using hospital discharge data: A systematic review.

Authors:  Elodie Lebreton; Catherine Crenn-Hébert; Claudie Menguy; Elizabeth A Howell; Jeffrey B Gould; Agnès Dechartres; Jennifer Zeitlin
Journal:  Paediatr Perinat Epidemiol       Date:  2020-03-23       Impact factor: 3.980

8.  The impact of the ICD-9-CM to ICD-10-CM transition on the prevalence of birth defects among infant hospitalizations in the United States.

Authors:  Jason L Salemi; Jean Paul Tanner; Russell S Kirby; Janet D Cragan
Journal:  Birth Defects Res       Date:  2019-08-14       Impact factor: 2.661

9.  Differences in severity at admission for heart failure between rural and urban patients: the value of adding laboratory results to administrative data.

Authors:  Mark W Smith; Pamela L Owens; Roxanne M Andrews; Claudia A Steiner; Rosanna M Coffey; Halcyon G Skinner; Jill Miyamura; Ioana Popescu
Journal:  BMC Health Serv Res       Date:  2016-04-18       Impact factor: 2.655

10.  Changes in Hospitalizations at US Safety-Net Hospitals Following Medicaid Expansion.

Authors:  Karen E Lasser; Zhixiu Liu; Meng-Yun Lin; Michael K Paasche-Orlow; Amresh Hanchate
Journal:  JAMA Netw Open       Date:  2021-06-01
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