Programmaleider Zorg en Participatie bij Chronische aandoeningen; bijzonder hoogleraar 'Farmaceutisch zorgonderzoek', Rijksuniversiteit Groningen
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Process to process correlation: the interpretive validity of indicators.
Ogbu, U.C., Arah, O.A., Dijk, L. van, Bakker, D.H. de, Stronks, K., Westert, G.P. Process to process correlation: the interpretive validity of indicators. In: U.C. Ogbu. SPOkes in the wheel: structure, process, and outcomes of healthcare. An examination of the quality of the relationships among indicators of hospital and general practitioner performance. Proefschrift van de Universiteit van Amsterdam, 2010. p. 109-125.
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Objective
To determine the empirica! relationship between theoretically related process indicators using antibiotic prescribing guideline adherence among general practices.
Data Source: One hundred and eighteen general practices participating In the Netherlands Information Network of General Practice from 2002 to 2005.
Study design
In this retrospective study, we used Pearson's correlation coefficient to examine the pairwise practice-level association between guideline adherence rates for episodes of bacterial skin infection (30,757), acute throat pain (28,544), sinusitis (39,648), and urinary tract infections (75,300). We used three-level multivariate multilevel analysis to study the association between practice-level adherence rates of any three adherence indicators, and likelihood to adhere to the fourth guideline.
Principal findings
The correlation between performance levels of the prescribing indicators ranged from negative (-0.29) to positive (0.57). The odds ratios and 95% Cl from the multilevel analyses ranged from a minimum of 0.97 (0.97 - 0.98) to a maximum of 1.02 (1.02 - 1.04) for the various practice-level adherence measures.
Conclusions
The relatively weak relationships between the tour process indicators indicate that they may not be measuring the same underlying construct. These findings raise questions about the interpretation of performance results based on existing quality indicators.
To determine the empirica! relationship between theoretically related process indicators using antibiotic prescribing guideline adherence among general practices.
Data Source: One hundred and eighteen general practices participating In the Netherlands Information Network of General Practice from 2002 to 2005.
Study design
In this retrospective study, we used Pearson's correlation coefficient to examine the pairwise practice-level association between guideline adherence rates for episodes of bacterial skin infection (30,757), acute throat pain (28,544), sinusitis (39,648), and urinary tract infections (75,300). We used three-level multivariate multilevel analysis to study the association between practice-level adherence rates of any three adherence indicators, and likelihood to adhere to the fourth guideline.
Principal findings
The correlation between performance levels of the prescribing indicators ranged from negative (-0.29) to positive (0.57). The odds ratios and 95% Cl from the multilevel analyses ranged from a minimum of 0.97 (0.97 - 0.98) to a maximum of 1.02 (1.02 - 1.04) for the various practice-level adherence measures.
Conclusions
The relatively weak relationships between the tour process indicators indicate that they may not be measuring the same underlying construct. These findings raise questions about the interpretation of performance results based on existing quality indicators.
Objective
To determine the empirica! relationship between theoretically related process indicators using antibiotic prescribing guideline adherence among general practices.
Data Source: One hundred and eighteen general practices participating In the Netherlands Information Network of General Practice from 2002 to 2005.
Study design
In this retrospective study, we used Pearson's correlation coefficient to examine the pairwise practice-level association between guideline adherence rates for episodes of bacterial skin infection (30,757), acute throat pain (28,544), sinusitis (39,648), and urinary tract infections (75,300). We used three-level multivariate multilevel analysis to study the association between practice-level adherence rates of any three adherence indicators, and likelihood to adhere to the fourth guideline.
Principal findings
The correlation between performance levels of the prescribing indicators ranged from negative (-0.29) to positive (0.57). The odds ratios and 95% Cl from the multilevel analyses ranged from a minimum of 0.97 (0.97 - 0.98) to a maximum of 1.02 (1.02 - 1.04) for the various practice-level adherence measures.
Conclusions
The relatively weak relationships between the tour process indicators indicate that they may not be measuring the same underlying construct. These findings raise questions about the interpretation of performance results based on existing quality indicators.
To determine the empirica! relationship between theoretically related process indicators using antibiotic prescribing guideline adherence among general practices.
Data Source: One hundred and eighteen general practices participating In the Netherlands Information Network of General Practice from 2002 to 2005.
Study design
In this retrospective study, we used Pearson's correlation coefficient to examine the pairwise practice-level association between guideline adherence rates for episodes of bacterial skin infection (30,757), acute throat pain (28,544), sinusitis (39,648), and urinary tract infections (75,300). We used three-level multivariate multilevel analysis to study the association between practice-level adherence rates of any three adherence indicators, and likelihood to adhere to the fourth guideline.
Principal findings
The correlation between performance levels of the prescribing indicators ranged from negative (-0.29) to positive (0.57). The odds ratios and 95% Cl from the multilevel analyses ranged from a minimum of 0.97 (0.97 - 0.98) to a maximum of 1.02 (1.02 - 1.04) for the various practice-level adherence measures.
Conclusions
The relatively weak relationships between the tour process indicators indicate that they may not be measuring the same underlying construct. These findings raise questions about the interpretation of performance results based on existing quality indicators.