Hingwala Jay, Bhangoo Sandip, Hiebert Brett, Sood Manish M, Rigatto Claudio, Tangri Navdeep, Komenda Paul
University of Toronto, Toronto, ON Canada ; Department of Medicine, Section of Nephrology, University of Manitoba, Winnipeg, MB Canada.
Department of Medicine, Section of Nephrology, University of Manitoba, Winnipeg, MB Canada.
Can J Kidney Health Dis. 2014 May 22;1:9. doi: 10.1186/2054-3581-1-9. eCollection 2014.
Chronic kidney disease screening using estimated glomerular filtration rate (eGFR) reporting is standard in many regions. With its implementation, many centres have had higher referral rates and increased wait times to see nephrologists.
Manitoba began eGFR reporting in October 2010. We measured the effect of eGFR reporting on referral rates, wait times, and appropriateness of referrals after an educational intervention.
An interrupted time series design was used.
This study took place in Manitoba, Canada.
All referrals to the Manitoba Renal Program in the period prior to eGFR reporting between April 1, 2010 and September 30, 2010 were compared with a post period between January 1, 2011 and June 30, 2011.
Data on demographics, co-morbidities, referral numbers and wait times were compared between periods. Appropriateness of consults was also measured after eGFR implementation.
Prior to eGFR reporting, primary care physicians underwent educational interventions on eGFR interpretation and referral guidelines. Referral rates and wait times were compared between periods using generalized linear models. Chart audits of a random sample of 232 patients in the pre period and 239 patients in the post period were performed.
The pre and post eGFR reporting referral rate was 116 and 152 referrals/month, respectively. Average wait times in the pre and post eGFR reporting was 113 and 115 days, respectively. Non-urgent referral wait times increased by 40 days immediately post reporting, while urgent median referral wait times had a more gradual increase. Despite our intervention, inappropriate consultations post eGFR reporting was 495/790 (62.7%).
Our study did not measure the intervention's success on primary care providers, which may have affected our appropriateness data. Our time series design was not powered to find a statistically significant difference in referral numbers. Residual confounding of our results was possible given the retrospective nature of our study.
Despite our educational intervention, the inappropriate referrals remained high, and wait times increased. Other systemic interventions should be considered to attenuate the potential negative effects of eGFR reporting and ensure timely access for patients needing specialist consultation.
在许多地区,使用估算肾小球滤过率(eGFR)报告进行慢性肾脏病筛查已成为标准做法。随着其实施,许多中心的转诊率更高,看肾病专家的等待时间也增加了。
曼尼托巴省于2010年10月开始采用eGFR报告。我们评估了在进行教育干预后,eGFR报告对转诊率、等待时间以及转诊适宜性的影响。
采用中断时间序列设计。
本研究在加拿大曼尼托巴省进行。
将2010年4月1日至2010年9月30日eGFR报告之前转诊至曼尼托巴肾脏项目的所有患者与2011年1月1日至2011年6月30日的后续时间段患者进行比较。
比较两个时间段的人口统计学、合并症、转诊数量和等待时间数据。在实施eGFR后还评估了会诊的适宜性。
在eGFR报告之前,对初级保健医生进行了关于eGFR解读和转诊指南的教育干预。使用广义线性模型比较两个时间段的转诊率和等待时间。对前期随机抽取的232例患者和后期随机抽取 的239例患者进行病历审核。
eGFR报告前后的转诊率分别为每月116例和152例。eGFR报告前后的平均等待时间分别为113天和115天。报告后非紧急转诊等待时间立即增加了40天,而紧急转诊的中位等待时间增加较为缓慢。尽管我们进行了干预,但eGFR报告后不适当会诊的比例为495/790(62.7%)。
我们的研究未评估干预对初级保健提供者的成效,这可能影响了我们的适宜性数据。我们的时间序列设计无法发现转诊数量上具有统计学意义的差异。鉴于我们研究的回顾性性质,结果可能存在残余混杂因素。
尽管我们进行了教育干预,但不适当转诊率仍然很高,等待时间也增加了。应考虑其他系统性干预措施,以减轻eGFR报告可能产生的负面影响,并确保需要专科会诊的患者能够及时就诊。