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NE led the psychometric analysis of the referral measures.
The complementary referral measures we used are promising.
Factor analysis, using varimax rotation was undertaken for the two referral measures (referral familiarity and referral practice) assessed by the nursing questionnaires for each BPG [ 19].
First, a set of referral measures such as those identified in this study can be utilized to assess the performance of the current referral system and to evaluate the comparative effectiveness of interventions to improve the quality and efficiency of specialty referrals.
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Since papers may contain more than one relevant referral measure, we abstracted information on all metrics contained in each eligible paper that met eligibility criteria.
The questions asked for numeric responses with respect to: BP management; change in renal function requiring referral (measured with an estimate of glomerular filtration rate (eGFR)); quantitative measures of proteinuria (in the UK measured using albumin creatinine ratio (ACR)); and decline in renal function that should result in referral to specialist care.
Quality of referral letters measured by the validated checklist from step 1 and 2. Quality of care measured by the indicators from step 3. Length of stay.
We assessed the relation between the Patient Centered Referral Information Measure (factors PCPI, PCISP, and PCISM) and the probability that patients trusted the referring physician to coordinate care for the particular condition while controlling for age, race group, income, education, and gender.
11 Secondary referral was measured after day 2. The details of this study do not typically represent the scenario modeled, which is the UK primary care setting; specifically, the model does not consider children presenting to A & E instead of primary care for AWD.
As referrals were measured at the cluster level we were only able to include covariates that were also measured at the cluster level.
It also rolled out a web analytics product to make it easier for businesses to track referrals and measure what users are doing on the site.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com