eMAP:CKD: electronic diagnosis and management assistance to primary care in chronic kidney disease

Assessing patterns of chronic kidney disease care in Australian primary care: a retrospective cohort study of a national general practice dataset

Background

Chronic kidney disease (CKD) monitoring and cardiovascular risk management are essential in reducing disease progression and cardiovascular events. This study aimed to understand CKD monitoring and management practices in Australian primary care.

Methods

We conducted a retrospective, population-based cohort study of adults who attended general practices participating in MedicineInsight between 1 January 2011 and 30 June 2020 and met diagnostic criteria for CKD. Care quality was assessed in the 18-months following identification of CKD. Core monitoring was defined as at least one assessment of all the following measurements: blood pressure, estimated glomerular filtration rate (eGFR), urine albumin creatinine ratio (UACR), lipid profile, and HbA1c in patients with diabetes. Cardiovascular risk management comprised medication prescription (ACEi/ARB and statin), blood pressure target achievement and LDL cholesterol <2 mmol/L. Modified Poisson regression models adjusted for socio-demographic and clinical characteristics were used to identify patient factors associated with completion of monitoring and medication prescription.

Findings

CKD was identified in 140,780 patients, of which 34.2% received core monitoring within 18 months of CKD identification. Measurement of the individual components of the core monitoring outcome varied: blood pressure (88.7%), eGFR (86.0%), UACR (41.1%), lipids (70.9%) and HbA1c (85.5%). ACEi/ARB were prescribed in 65.2% of the cohort and 54.4% were prescribed a statin. Blood pressure targets of <140/90 mmHg and <130/80 mmHg were achieved in 57.9% and 29.3% of patients, respectively. LDL target of <2 mmol/L was achieved in 38.8% of patients. Older age, comorbid diabetes and hypertension were associated with a greater likelihood of monitoring and medication prescription.

Interpretation

In this large, population-based study, we observed substantial variation in CKD risk monitoring and the management of cardiovascular risk in patients with CKD. We identified several priority areas for CKD management in primary care including need for improvement in albuminuria monitoring.

Funding

University of New South Wales Scientia Program and Boehringer Ingelheim Eli Lilly Alliance.

Risk Factor-Based Screening for Early Detection of Chronic Kidney Disease in Primary Care Settings: A Systematic Review

Rationale & Objective

Kidney failure can be prevented or delayed if chronic kidney disease (CKD) is detected and treated early. Targeted screening has been shown effective in detecting CKD worldwide, but a recently updated summary of evidence is lacking. We synthesized up-to-date evidence of the effectiveness of risk factor-based screening for the early detection of CKD among adults in primary care.

Study Design

We retrieved articles from Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and Scopus. Relevant gray literature and hand-searching bibliographies of key articles were also performed.

Setting & Study Populations

Adult patients (age ≥ 18 years) with at least 1 known CKD risk factor in primary care.

Selection Criteria for Studies

Prospective studies applying CKD screening in adults based on at least 1 CKD risk factor.

Data Extraction

Data were abstracted from full texts and the risk of bias was assessed using the Joanna Briggs Institute critical appraisal tools.

Analytical Approach

No meta-analysis was conducted.

Results

In total, 24 studies from 11 countries fulfilled the inclusion criteria. Diverse screening tests, CKD definitions, formulas for estimating kidney function, and positive screening test cutoffs were used. Most studies (n = 22) employed estimated glomerular filtration rate (eGFR), albumin-creatinine ratio (ACR) (n = 14), and dipstick urinalysis (n = 9) for screening. The prevalence of reduced kidney function and/or kidney damage was between 2.9% and 56%, and confirmed CKD varied from 4.4% to 17.1%. Increased patient referrals and physician visits, higher patient satisfaction, and some form of patient willingness to pay for the services were reported because of screening.

Limitations

Meta-analysis was not conducted, and the findings might not be generalized to resource-limited settings.

Conclusions

Risk factor-based screening effectively identifies a substantial proportion of people with undiagnosed CKD, but there is still scope for improvement. We recommend future studies have robust designs and multidimensional interventions to establish the effectiveness of targeted CKD screening in primary care.

Obstacles and Opportunities for Albuminuria Testing On the Basis of the Perspective of Primary Care: A Qualitative Study

Key Points

Pay-for-performance indicators and lack of knowledge about new drugs limit general practitioners' ability to identify target populations and perform urinary protein assays. Choosing between several possible assays is associated with confusion and exposes general practitioners to the risk of inappropriate referrals to nephrologists. Revising pay-for-performance indicators, drafting multidisciplinary guidelines, raising multiprofessional collaboration, and patient awareness should be considered.

Background

Albuminuria testing is an easy way to identify, early on, a higher risk of cardiovascular and kidney morbidity and mortality in patients at risk. In France, the urine albumin-to-creatinine ratio is an indicator for Remuneration for Public Health Objectives (primary care pay-for-performance) for patients with diabetes or hypertension. These tests must be performed annually by General Practitioners (GPs), but are not sufficiently performed, although drug therapies depend on them. We wanted to understand the practice of urinary protein screening assays by means of a qualitative study on the experience of GPs in a French region, with a view to developing facilitating strategies.

Methods

This qualitative, semiopragmatic, phenomenological study analyzed in-depth interviews held with a purposive sample (age, sex, training, type of practice, rural/urban context) of 27 GPs, with triangulation of researchers until data saturation.

Results

GPs recognized the assay as a systematic screening tool in accordance with the guidelines, but limited it to patients with diabetes or hypertension encouraged by primary care pay-for-performance. Noting that their intervention was limited to kidney-protective measures already in place and, unaware of the new drugs, they saw no benefits and considered it a nonpriority test. The existence of several urinary assays with varying intervention thresholds, changes in guidelines, and the fact that specialists in laboratory medicine can decide which test to use depending on reimbursement by the health insurance scheme, all contributed to GPs' confusion in prescribing and interpreting tests. One consequence of this was inappropriate referral to the nephrologist. These tests required them to adopt a patient-centered educational approach, making it difficult for certain patients to perform them.

Conclusions

GPs were aware of guideline recommendations to screen for albuminuria in patients with diabetes and hypertension but had difficulty interpreting the results. Their lack of perceived clinical consequences and new drugs should be targeted to improve the situation.

The development of Future Health Today: piloting a new platform for identification and management of chronic disease in general practice

Chronic disease identification and management is a significant issue in Australia, with general practice being the primary contact point for those at risk of, or living with, chronic disease. However, there is a well-described gap between guideline recommendations for chronic disease management and translation in the general practice setting. In 2018, a group of researchers, clinicians and software developers collaborated to develop a tool to support the identification and management of chronic disease in general practice, with the aim to create a platform that met the needs of general practice. The co-design process drew together core principles and expectations for the establishment of a technological platform, called Future Health Today (FHT), which would sit alongside the electronic medical record (EMR) management system within general practice. FHT used algorithms applied to EMR data to identify patients with, or at risk of, chronic disease and requiring review. Using chronic kidney disease as a clinical focus, the FHT prototype was piloted in a large, metropolitan general practice, and a large regional general practice. Based on user feedback, the prototype was further developed and improved. This paper provides a report on the key features and functionalities that participants identified and implemented in practice.

Precision medicine implementation challenges for APOL1 testing in chronic kidney disease in admixed populations

Chronic Kidney Disease (CKD) is a public health problem that presents genetic and environmental risk factors. Two alleles in the Apolipoprotein L1 (APOL1) gene were associated with chronic kidney disease; these alleles are common in individuals of African ancestry but rare in European descendants. Genomic studies on Afro-Americans have indicated a higher prevalence and severity of chronic kidney disease in people of African ancestry when compared to other ethnic groups. However, estimates in low- and middle-income countries are still limited. Precision medicine approaches could improve clinical outcomes in carriers of risk alleles in the Apolipoprotein L1 gene through early diagnosis and specific therapies. Nevertheless, to enhance the definition of studies on these variants, it would be necessary to include individuals with different ancestry profiles in the sample, such as Latinos, African Americans, and Indigenous peoples. There is evidence that measuring genetic ancestry improves clinical care for admixed people. For chronic kidney disease, this knowledge could help establish public health strategies for monitoring patients and understanding the impact of the Apolipoprotein L1 genetic variants in admixed populations. Therefore, researchers need to develop resources, methodologies, and incentives for vulnerable and disadvantaged communities, to develop and implement precision medicine strategies and contribute to consolidating diversity in science and precision medicine in clinical practice.

Challenges of conducting kidney health checks among patients at risk of chronic kidney disease and attending an urban Aboriginal and Torres Strait Islander primary healthcare service

BACKGROUND

The increasing incidence of chronic kidney disease (CKD) globally highlights the importance of early targeted screening of at-risk persons in primary healthcare settings. This study investigated the early detection of CKD among Aboriginal and Torres Strait Islander patients attending an urban primary healthcare service.

METHODS

Routine data extracted for all patients with an active electronic medical record on 7 December 2017 were used to identify patients who were eligible to have a kidney health check (KHC), comprising estimated glomerular filtration rate (eGFR) and urine albumin creatinine ratio (UACR) tests. A subsequent manual search of electronic health records identified the presence of CKD risk factors and follow-up KHCs.

RESULTS

Of the 1181 eligible patients, 171 (15%) had a complete initial KHC. Of the eight patients with an initial abnormal eGFR, two (25%) had a repeat eGFR assessment within 3 months to confirm the presence of CKD. Of the 30 patients who had an initial abnormal UACR result, three (10%) had at least one repeat UACR measurement within 3 months. In patients with diabetes and/or hypertension and a normal initial KHC, 51% had a repeat eGFR and 36% had UACR within the recommended time frame of 12 months. Similar findings were observed for the recommended time frame of 24 months in patients without diabetes or hypertension.

CONCLUSION

Accurate documentation of risk factors for CKD and processes to address the barriers to implementation of Kidney Health Australia guidelines will assist in preventing or delaying progression of CKD.

Chronic kidney disease recognition amongst physicians and advanced practice providers

Objective

Chronic kidney disease is a worldwide public health issue, with increasing prevalence resulting in high morbidity and mortality. As a result, recognizing and treating it early can lead to improved outcomes. We hypothesized that some providers might be more comfortable making this diagnosis than others.

Methods

Retrospective study of 380 patients with chronic kidney disease seen between 2012 and 2016 in an outpatient setting.

Results

Three hundred and sixteen patients were treated by physicians and sixty-four by advanced practice providers. Chronic kidney disease was identified by the primary care providers in 318 patients (83.6%). Patients recognized with chronic kidney disease were older, 76 ± 8.8 vs 72 ± 7.45 years, p = 0.001; had lower GFR, 37 [29, 46] vs 57 [37, 76] ml/min/1.73 m², p < 0.0001 and were more likely to be seen by a physician compared to an advanced practice provider: 272/316 (86%) vs 46/64 (71.8%), p = 0.008. In multivariate analyses, care by a physician, OR = 2.27 (1.13–4.58), p = 0.02 was associated with increased recognition of chronic kidney disease. On the other hand, higher GFR was associated with decreased diagnosis of chronic kidney disease, OR = 0.95 (0.93–0.96), p < 0.0001.

Conclusion

The odds of chronic kidney disease recognition were higher amongst physicians in comparison to non-physician providers.

Future Health Today: codesign of an electronic chronic disease quality improvement tool for use in general practice using a service design approach

OBJECTIVE

To codesign an electronic chronic disease quality improvement tool for use in general practice.

DESIGN

Service design employing codesign strategies.

SETTING

General practice.

PARTICIPANTS

Seventeen staff (general practitioners, nurses and practice managers) from general practice in metropolitan Melbourne and regional Victoria and five patients from metropolitan Melbourne.

INTERVENTIONS

Codesign sessions with general practice staff, using a service design approach, were conducted to explore key design criteria and functionality of the audit and feedback and clinical decision support tools. Think aloud interviews were conducted in which participants articulated their thoughts of the resulting Future Health Today (FHT) prototype as they used it. One codesign session was held with patients. Using inductive and deductive coding, content and thematic analyses explored the development of a new technological platform and factors influencing implementation of the platform.

RESULTS

Participants identified that the prototype needed to work within their existing workflow to facilitate automated patient recall and track patients with or at-risk of specific conditions. It needed to be simple, provide visual snapshots of information and easy access to relevant guidelines and facilitate quality improvement activities. Successful implementation may be supported by: accuracy of the algorithms in FHT and data held in the practice; the platform supporting planned and spontaneous interactions with patients; the ability to hide tools; links to Medicare Benefits Schedule; and prefilled management plans. Participating patients supported the use of the platform in general practice. They suggested that use of the platform demonstrates a high level of patient care and could increase patient confidence in health practitioners.

CONCLUSION

Study participants worked together to design a platform that is clear, simple, accurate and useful and that sits within any given general practice setting. The resulting FHT platform is currently being piloted in general practices and will continue to be refined based on user feedback.

Raman Spectroscopy as Noninvasive Method of Diagnosis of Pediatric Onset Inflammatory Bowel Disease

We propose here a spectroscopic method to diagnose and differentiate inflammatory bowel diseases (IBD), such as ulcerative colitis (UC) and Crohn’s disease (CD) with pediatric onset, in a complete noninvasive way without performing any duodenal biopsy. In particular, the Raman technique was applied to proteic extract from fecal samples in order to achieve information about molecular vibrations that can potentially furnish spectral signatures of cellular modifications occurring as a consequence of specific pathologic conditions. The attention was focused on the investigation of the amide I region, quantitatively accounting the spectral changes in the secondary structures by applying deconvolution and curve-fitting. Inflammation is found to give rise to a significant increasing of the nonreducible (trivalent)/reducible (divalent) cross-linking ratio R of the protein network. This parameter revealed an excellent marker in order to distinguish IBD subjects from non-IBD ones, and, among IBD patients, to differentiate between UC and CD. The proposed methodology was validated by statistical analysis using the receiver operating characteristic (ROC) curve.

Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach

BACKGROUND AND OBJECTIVES

Diagnosis and early intervention of chronic kidney disease are essential to prevent loss of kidney function and a large amount of financial resources. To this end, we developed a fuzzy logic-based expert system for diagnosis and prediction of chronic kidney disease and evaluate its robustness against noisy data.

METHODS

At first, we identified the diagnostic parameters and risk factors through a literature review and a survey of 18 nephrologists. Depending on the features selected, a set of fuzzy rules for the prediction of chronic kidney disease was determined by reviewing the literature, guidelines and consulting with nephrologists. Fuzzy expert system was developed using MATLAB software and Mamdani Inference System. Finally, the fuzzy expert system was evaluated using data extracted from 216 randomly selected medical records of patients with and without chronic kidney disease. We added noisy data to our dataset and compare the performance of the system on original and noisy datasets.

RESULTS

We selected 16 parameters for the prediction of chronic kidney disease. The accuracy, sensitivity, and specificity of the final system were 92.13 %, 95.37 %, and 88.88 %, respectively. The area under the curve was 0.92 and the Kappa coefficient was 0.84, indicating a very high correlation between the system diagnosis and the final diagnosis recorded in the medical records. The performance of the system on noisy input variables indicated that in the worse scenario, the accuracy, sensitivity, and specificity of the system decreased only by 4.43 %, 7.48 %, and 5.41 %, respectively.

CONCLUSION

Considering the desirable performance of the proposed expert system, the system can be useful in the prediction of chronic kidney disease.

Primary care physicians' perceptions of barriers and facilitators to management of chronic kidney disease: A mixed methods study

BACKGROUND

Given the high prevalence of chronic kidney disease (CKD), primary care physicians (PCPs) frequently manage early stage CKD. Nonetheless, there are challenges in providing optimal CKD care in the primary care setting. This study sought to understand PCPs' perceptions of barriers and facilitators to the optimal management of CKD.

STUDY DESIGN

Mixed methods study.

SETTINGS AND PARTICIPANTS

Community-based PCPs in four US cities: Baltimore, MD; St. Louis, MO; Raleigh, NC and San Francisco, CA.

METHODOLOGY

We used a self-administered questionnaire and conducted 4 focus groups of PCPs (n = 8 PCPs/focus group) in each city to identify key barriers and facilitators to management of patients with CKD in primary care.

ANALYTIC APPROACH

We conducted descriptive analyses of the survey data. Major themes were identified from audio-recorded interviews that were transcribed and coded by the research team.

RESULTS

Of 32 participating PCPs, 31 (97%) had been in practice for >10 years, and 29 (91%) practiced in a non-academic setting. PCPs identified multiple barriers to managing CKD in primary care including at the level of the patient (e.g., low awareness of CKD, poor adherence to treatment recommendations), the provider (e.g., staying current with CKD guidelines), and the health care system (e.g., inflexible electronic medical record, limited time and resources). PCPs desired electronic prompts and lab decision support, concise guidelines, and healthcare financing reform to improve CKD care.

CONCLUSIONS

PCPs face substantial but modifiable barriers in providing care to patients with CKD. Interventions that address these barriers and promote facilitative tools may improve PCPs' effectiveness and capacity to care for patients with CKD.