Literature DB >> 27716196

Testing the construct validity of hospital care quality indicators: a case study on hip replacement.

Claudia Fischer1,2, Hester F Lingsma3, Helen A Anema4, Job Kievit5, Ewout W Steyerberg3, Niek Klazinga4.   

Abstract

BACKGROUND: Quality indicators are increasingly used to measure the quality of care and compare quality across hospitals. In the Netherlands over the past few years numerous hospital quality indicators have been developed and reported. Dutch indicators are mainly based on expert consensus and face validity and little is known about their construct validity. Therefore, we aim to study the construct validity of a set of national hospital quality indicators for hip replacements.
METHODS: We used the scores of 100 Dutch hospitals on national hospital quality indicators looking at care delivered over a two year period. We assessed construct validity by relating structure, process and outcome indicators using chi-square statistics, bootstrapped Spearman correlations, and independent sample t-tests. We studied indicators that are expected to associate as they measure the same clinical construct. RESULT: Among the 28 hypothesized correlations, three associations were significant in the direction hypothesized. Hospitals with low scores on wound infections had high scores on scheduling postoperative appointments (p-value = 0.001) and high scores on not transfusing homologous blood (correlation coefficient = -0.28; p-value = 0.05). Hospitals with high scores on scheduling complication meetings, also had high scores on providing thrombosis prophylaxis (correlation coefficient = 0.21; p-value = 0.04).
CONCLUSION: Despite the face validity of hospital quality indicators for hip replacement, construct validity seems to be limited. Although the individual indicators might be valid and actionable, drawing overall conclusions based on the whole indicator set should be done carefully, as construct validity could not be established. The factors that may explain the lack of construct validity are poor data quality, no adjustment for case-mix and statistical uncertainty.

Entities:  

Keywords:  Database; Health care quality; Hip replacement; Quality indicators; Validity

Mesh:

Year:  2016        PMID: 27716196      PMCID: PMC5053145          DOI: 10.1186/s12913-016-1778-7

Source DB:  PubMed          Journal:  BMC Health Serv Res        ISSN: 1472-6963            Impact factor:   2.655


  34 in total

1.  Defining and classifying clinical indicators for quality improvement.

Authors:  Jan Mainz
Journal:  Int J Qual Health Care       Date:  2003-12       Impact factor: 2.038

2.  Antibiotic prophylaxis in hip fracture surgery: a metaanalysis.

Authors:  James P Southwell-Keely; Robert R Russo; Lyn March; Robert Cumming; Ian Cameron; Alan J M Brnabic
Journal:  Clin Orthop Relat Res       Date:  2004-02       Impact factor: 4.176

3.  Relation between process measures and diagnosis-specific readmission rates in patients with heart failure.

Authors:  Alex Bottle; Rosalind Goudie; Martin R Cowie; Derek Bell; Paul Aylin
Journal:  Heart       Date:  2015-06-11       Impact factor: 5.994

4.  Predicting the cost-effectiveness of total hip and knee replacement: a health economic analysis.

Authors:  P J Jenkins; N D Clement; D F Hamilton; P Gaston; J T Patton; C R Howie
Journal:  Bone Joint J       Date:  2013-01       Impact factor: 5.082

5.  Rehospitalization for heart failure: predict or prevent?

Authors:  Akshay S Desai; Lynne W Stevenson
Journal:  Circulation       Date:  2012-07-24       Impact factor: 29.690

6.  Hospital quality for acute myocardial infarction: correlation among process measures and relationship with short-term mortality.

Authors:  Elizabeth H Bradley; Jeph Herrin; Brian Elbel; Robert L McNamara; David J Magid; Brahmajee K Nallamothu; Yongfei Wang; Sharon-Lise T Normand; John A Spertus; Harlan M Krumholz
Journal:  JAMA       Date:  2006-07-05       Impact factor: 56.272

7.  Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue.

Authors:  J H Silber; S V Williams; H Krakauer; J S Schwartz
Journal:  Med Care       Date:  1992-07       Impact factor: 2.983

8.  [Percentage of local recurrence following treatment for breast cancer is not a suitable performance indicator].

Authors:  Margriet van der Heiden-van der Loo; Vincent K Y Ho; Ronald A M Damhuis; Sabine Siesling; Marian B E Menke; Petra H M Peeters; Emiel J Th Rutgers
Journal:  Ned Tijdschr Geneeskd       Date:  2010

9.  Antibiotic prophylaxis in total hip arthroplasty: effects of antibiotic prophylaxis systemically and in bone cement on the revision rate of 22,170 primary hip replacements followed 0-14 years in the Norwegian Arthroplasty Register.

Authors:  Lars B Engesaeter; Stein Atle Lie; Birgitte Espehaug; Ove Furnes; Stein Emil Vollset; Leif Ivar Havelin
Journal:  Acta Orthop Scand       Date:  2003-12

10.  Provider Volume of Total Knee Arthroplasties and Patient Outcomes in the HCUP-Nationwide Inpatient Sample.

Authors:  Sheleika L Hervey; Harriett R Purves; Ulrich Guller; Alison P Toth; Thomas P Vail; Ricardo Pietrobon
Journal:  J Bone Joint Surg Am       Date:  2003-09       Impact factor: 5.284

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  5 in total

1.  Development of a quality indicator set to measure and improve quality of ICU care in low- and middle-income countries.

Authors:  Vrindha Pari
Journal:  Intensive Care Med       Date:  2022-09-16       Impact factor: 41.787

2.  Development of a quality indicator set to measure and improve quality of ICU care for patients with traumatic brain injury.

Authors:  Jilske A Huijben; Eveline J A Wiegers; Nicolette F de Keizer; Andrew I R Maas; David Menon; Ari Ercole; Giuseppe Citerio; Fiona Lecky; Lindsay Wilson; Maryse C Cnossen; Suzanne Polinder; Ewout W Steyerberg; Mathieu van der Jagt; Hester F Lingsma
Journal:  Crit Care       Date:  2019-03-22       Impact factor: 9.097

3.  Home care quality indicators based on the Resident Assessment Instrument-Home Care (RAI-HC): a systematic review.

Authors:  Aylin Wagner; René Schaffert; Nathalie Möckli; Franziska Zúñiga; Julia Dratva
Journal:  BMC Health Serv Res       Date:  2020-04-29       Impact factor: 2.655

4.  Why, what and how do European healthcare managers use performance data? Results of a survey and workshop among members of the European Hospital and Healthcare Federation.

Authors:  Damir Ivankovic; Mircha Poldrugovac; Pascal Garel; Niek S Klazinga; Dionne S Kringos
Journal:  PLoS One       Date:  2020-04-08       Impact factor: 3.240

5.  On the correlation between outcome indicators and the structure and process indicators used to proxy them in public health care reporting.

Authors:  Benjamin H Salampessy; France R M Portrait; Eric van der Hijden; Ab Klink; Xander Koolman
Journal:  Eur J Health Econ       Date:  2021-06-30
  5 in total

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