Electronic Decision-support System to Improve Detection and Care of Patients With Chronic Kidney Disease in Stockholm (ALMA-CKD)

December 10, 2025 updated by: Juan Jesus Carrero, Karolinska Institutet

An Electronic Triggering Decision-support System to Improve Detection, Management and Nephrologist Referral of Patients With Chronic Kidney Disease in Primary Care: A Pragmatic Cluster Randomized Controlled Trial

One in 10 adults in Region Stockholm have chronic kidney disease (CKD), which dramatically increases healthcare costs and the risk of medication errors or adverse health outcomes, including cardiovascular disease and death. Identification and early management of these patients is done in primary care settings. However, most adults with CKD in our region are under detected, undiagnosed and undertreated, with low rates of referral to nephrology-specialist care.

This is a pragmatic cluster randomized controlled trial (RCT) involving 66 primary healthcare centers in Region Stockholm, and testing the effect of an electronic clinical decision support (CDS) triggering system to assist general practitioners through the guideline-recommended processes of CKD care.

The centers, providing healthcare to approximately 780.000 citizens, will be randomized 50:50 to this CDS trigger (vs basic advice) for 18 months. Study outcomes will consider the improvement in the indicators of CKD care.

As a pragmatic trial there is no active recruitment or active data collection. The trial is embedded into the ongoing Stockholm CREAtinine Measurements (SCREAM) project, a database collection of healthcare use for the complete population of Stockholm. Using this real-world healthcare data collection, the investigators will be able to measure with precision the impact of our CDS trigger and its potential to improve clinical care.

Study Overview

Status

Completed

Detailed Description

A large proportion of persons in our region suffer from CKD and are not adequately identified and cared for.

The hypothesis tested in this trial is that providing a structured framework of advice in the form of an electronic clinical decision support (CDS) triggering system to general practitioners has the potential to improve the identification, recognition and care of persons with CKD.

About 10% of adults in Stockholm suffer from CKD, a condition characterized by reduced kidney function or signs of kidney damage that are sustained over time. CKD is disproportionally present in older adults (in 18% of persons aged 66-74, and 41% of persons aged >75 years) and in those with non-communicable diseases like hypertension (in 29% of patients), diabetes (26%) and cardiovascular disease (37%).

CKD can be identified and diagnosed with two simple and inexpensive laboratory analyses:

  • serum/plasma creatinine, which serves to estimate glomerular filtration rate (eGFR) as a marker of kidney function,
  • and albumin in urine (albuminuria), which serves as a marker of kidney damage.

Despite the low cost and widespread availability of these tests, they are not measured or interpreted to a desirable degree in primary health care. This leads to a high degree of under-detection and under-recognition of CKD. In Stockholm, only 9% of people with laboratory-detected CKD carried a clinical diagnosis or visited a nephrologist.

Patients with CKD have increased risks of all-cause mortality, cardiovascular mortality and morbidity, and kidney failure requiring dialysis or transplantation. They are also prone to suffer from medication errors, given that the loss of kidney function requires careful consideration of drug dosages and represents a contraindication for many common therapies. The management of CKD is costly: dialysis and transplantation alone, which affects to only 1-2% of the total population with CKD, typically represents 2-3% of the total healthcare expenditure of developed countries.

Many patients with CKD are at low risk of progression to kidney failure and are ideally managed in primary care settings. This is the current model of decentralized CKD care of most health systems including Region Stockholm. Regional, national and international guidelines provide clear recommendations regarding the screening, identification, management of patients with CKD in primary care as well as criteria for referral to nephrologist care. The goal of these recommendations is to improve detection and recognition, as well as to reduce the risk of adverse consequences of kidney failure and cardiovascular disease.

Despite the presence of clear guidelines, international reports suggest that most adults with CKD remain under detected, undiagnosed, improperly risk stratified, and undertreated. Even when laboratory data is present to substantiate a CKD diagnosis, clinicians often do not recognize or diagnose it, and, as a result, medication errors can occur. Another missed opportunity of poor identification and recognition of CKD is that patients with advanced CKD often are not referred to nephrology early enough to have meaningful discussions about preparation for kidney replacement therapy.

Barriers that hinder effective CKD identification and care in primary care settings include lack of awareness and/or understanding of guidelines for risk stratification and management of CKD, confusion regarding appropriate referral criteria and timing, lack of confidence in managing CKD and limited communication channels with specialists in nephrology. Additionally, general practitioners may have limited time to manage complex visit agendas. Programs that facilitate the processes of CKD identification and management as well as enhanced cooperation between general and specialist care have thus the potential to improve these identified care gaps.

Widespread use of electronic health records offers new opportunities to identify and address such care gaps, by implementation of electronic clinical decision support (CDS) systems. CDS systems are designed to aid clinician decision making during the process of care. When well designed and effectively used, they can be powerful tools for improving the quality of patient care and preventing errors and omissions.

CDS triggers, that is, CDS systems that automatically activate upon a "trigger" (e.g. when the patient journal is opened or a laboratory test is ordered), have advantages compared with CDS systems that require active engagement of the clinician (i.e. having to access a specific website or platform to consult advice). CDS triggers can facilitate actions and promote proactive preventive care, such as opportunistic disease screening; they can also serve as reminders to staff and clinicians to take action to improve care delivery to a patient, alerting them while they're working in the electronic healthcare records, and linking them to the appropriate place to take the preferred action.

Since November 2022, a new platform for CDS triggers called ALMA has been implemented in the 66 public primary healthcare centers of Region Stockholm. ALMA is connected to patient records and uses CDS triggers to identify medical problems, issue alerts and propose solutions. At present, ALMA provides basic advice for the management of CKD, which consists of the recommendation to "measure albuminuria once annually in patients with diabetes". This trial will use the already-established ALMA platform to conduct a pragmatic RCT with the goals above mentioned.

Study Type

Interventional

Enrollment (Actual)

65

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Stockholm County
      • Stockholm, Stockholm County, Sweden
        • Karolinska Institutet

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion criteria:

People with conditions for which clinical guidelines recommend annual screening for kidney disease:

  • Diabetes
  • Hypertension
  • People with a chronic kidney disease diagnosis.
  • People with a rapidly declining eGFR (loss of 15% in the last 3 months or > 5 ml/min/1.73m2 per year).
  • People with albuminuria (>3 mg/mmol)

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention
Centers which have been randomized to recieve the intervention with CKD clinical decision support triggers will be administered via ALMA
Investigation of CDS-triggers effect on primary care physicians detection and management of chronic kidney disease
No Intervention: Care as usual
Centers which have been randomized to no intervention and receive only prior/general clinical decision support triggers currently available in the ALMA platform. They do not receive the specific clinical decision support triggers for CKD.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of participants screened for creatinine and albuminuria
Time Frame: Through study completion, an average of 18 months
The number of eligible persons (i.e with an indication for screening) screened for creatinine and albuminuria once annually. Patients eligible for screening are, according to current guidelines those with hypertension, diabetes or history of cardiovascular disease.
Through study completion, an average of 18 months
Number of screened participants with retesting for creatinine and albuminuria
Time Frame: Through study completion, an average of 18 months
The re-testing of these labs within 3-6 months among people with abnormal eGFR (<60 ml/min/1.73 m2) or albuminuria (>30 mg/g) at screening.
Through study completion, an average of 18 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of participants with laboratory-determined CKD receiving a clinical diagnosis
Time Frame: Through study completion, an average of 18 months
Among those fulfilling criteria of outcome 2 (i.e. sustained signs of CKD over time), proportion of clinical diagnoses issued
Through study completion, an average of 18 months
Number of participants receiving CKD-modifying agents
Time Frame: Through study completion, an average of 18 months
Among people fulfilling criteria 2, proportion of initiation of CKD-modifying agents
Through study completion, an average of 18 months
Number of participants referred to nephrologist care
Time Frame: Through study completion, an average of 18 months
Among those fulfilling National Criteria for referral.
Through study completion, an average of 18 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Juan J Carrero, Prof, Karolinska Institutet

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 9, 2023

Primary Completion (Actual)

September 30, 2025

Study Completion (Actual)

October 1, 2025

Study Registration Dates

First Submitted

January 26, 2024

First Submitted That Met QC Criteria

April 23, 2024

First Posted (Actual)

April 26, 2024

Study Record Updates

Last Update Posted (Actual)

December 18, 2025

Last Update Submitted That Met QC Criteria

December 10, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Not allowed by hospital, institutional and GDPR regulations

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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