Ostrobothnia Digital Clinic Experiment

Last registered on March 28, 2025

Pre-Trial

Trial Information

General Information

Title
Ostrobothnia Digital Clinic Experiment
RCT ID
AEARCTR-0015587
Initial registration date
March 18, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
March 26, 2025, 8:17 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
March 28, 2025, 2:58 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation

Other Primary Investigator(s)

PI Affiliation
University of Turku; Finnish Institute for Health and Welfare (THL)
PI Affiliation
Aalto University; VATT Institute for Economic Research
PI Affiliation
Aalto University
PI Affiliation
Aalto University
PI Affiliation
Finnish Institute for Health and Welfare (THL)

Additional Trial Information

Status
In development
Start date
2025-04-01
End date
2027-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This randomized controlled trial (RCT) examines the impacts of a publicly provided digital clinic that offers digital primary care services to consumers. Our intervention grants access to a public digital clinic that provides chat-based primary care consultations via a mobile phone application and website, including care needs assessment, diagnoses, follow-up care recommendations, and prescriptions. The digital clinic supplements traditional public primary care services, including in-person visits and phone consultations. The trial takes place in Ostrobothnia, Finland, a healthcare district serving a population of 178,000 residents. We randomize access to the digital clinic at the household level, providing access to 50% of the households. By doing so, we aim to evaluate whether digital services can substitute for, complement, or increase the utilization of traditional primary care, particularly in-person visits or calls to traditional clinics. At the end of the nine-month trial, access to the digital clinic will be expanded to the entire population.
External Link(s)

Registration Citation

Citation
Haaga, Tapio et al. 2025. "Ostrobothnia Digital Clinic Experiment." AEA RCT Registry. March 28. https://doi.org/10.1257/rct.15587-2.0
Experimental Details

Interventions

Intervention(s)
The Wellbeing Services County of Ostrobothnia, a mid-sized administrative region in Western Finland, will launch its digital clinic platform, a website and app for its digital services, on April 15, 2025. Over time, the digital clinic platform will include several different chat channels for various services. The main channel, the digital clinic, will be a chat channel to contact primary care professionals. The initial contact will be with a nurse, after which the nurse has the opportunity to consult with a physician. Primary care patients with new health issues who choose to contact the digital clinic are expected to log in with strong identification for a care needs assessment and treatment. At the time of writing, the plan is to keep the digital clinic open from 8 AM to 3 PM Monday through Thursday and from 8 AM to 2 PM on Fridays. Other chat channels that Ostrobothnia plans to launch using the platform, such as a chat for social services, a chat for rehabilitation, and a chat for customer service, do not require strong identification, and are not intended to serve as a substitute for the digital clinic.

Our intervention is to randomize access to the digital clinic for a nine-month period, starting on April 15. The randomization assigns households to two groups that either have access (the treatment group) or do not have access (the control group) to the newly launched digital clinic. Individuals in the treatment group will have access to the digital clinic immediately after its opening. The entire population residing in the region will have access to the digital clinic after the nine-month trial period. The trial does not affect access to other available alternatives for contacting primary care, such as traditional public primary care, occupational healthcare, or private clinics.

The intervention (access to the digital clinic) is accompanied by an information campaign targeting all households in the treatment group. The primary communication channel with the treatment group is through mailed letters. These letters will inform recipients about their option to use the digital clinic during the trial period and provide instructions on what the digital clinic is, and how to use it, as well as the rationale for granting access initially only to a randomly-selected subgroup of the population. We will send these information letters to all households belonging to the treatment group. We will send one letter per household and randomize the recipient within the household so that all household members over the age of eighteen have the same probability of receiving the letter. In a small sample of households consisting only of minors, all individuals aged 15 to 18 have an equal probability of receiving the letter. There will be no information letters addressed to individuals under the age of fifteen. The letters will be mailed shortly before the launch of the digital clinic.

For more information on the intervention, see Section 3 of our Analysis Plan (PAP).
Intervention Start Date
2025-04-15
Intervention End Date
2026-01-14

Primary Outcomes

Primary Outcomes (end points)
The number of in-person visits in public primary care (Y1.1).

The number of public digital clinic contacts (D.1).
Primary Outcomes (explanation)
Y1.1: This outcome includes in-person visits to nurses and physicians in traditional public primary care clinics.

D.1: This outcome includes care needs assessments, remote appointments to nurses and physicians (via chat and video), and professional-to-professional interactions between nurses and physicians in digital public primary care clinics.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary:
The number of other contacts with traditional public primary care (Y1.2).

Tertiary:
The total number of public primary care contacts (Y1.3)
An indicator for having any public digital clinic contact during the follow-up (D.2).
Secondary Outcomes (explanation)
Y1.2: This outcome includes care needs assessments, remote appointments to nurses and physicians, and professional-to-professional interactions between nurses and physicians in traditional public primary care clinics.

Y1.3: This outcome includes in-person visits to nurses and physicians, care needs assessments, remote appointments to nurses and physicians, and professional-to-professional interactions between nurses and physicians in digital and traditional public primary care clinics.

D.2: This outcome includes care needs assessments, remote appointments to nurses and physicians (via chat and video), and professional-to-professional interactions between nurses and physicians in digital public primary care clinics.

Experimental Design

Experimental Design
Our intervention is to randomize access to the digital clinic for a nine-month period, starting on April 15. The randomization assigns households to two groups that either have access (the treatment group) or do not have access (the control group) to the newly launched digital clinic. Individuals in the treatment group will have access to the digital clinic immediately after its opening. The entire population residing in the region will have access to the digital clinic after the nine-month trial period. The trial does not affect access to other available alternatives for contacting primary care, such as traditional public primary care, occupational healthcare, or private clinics.

We randomized treatment at the household level based on permanent addresses, ensuring that all members of a household were assigned to the same treatment group. Households were stratified by size to maintain balance across different household compositions. Within each stratum, we randomly assigned 50% of the households to the treatment group (a 1:1 ratio). Specifically, for each household ID cluster, we generated a random floating-point number and sorted the clusters by this value within each household size group. Households in the top 50% of these sorted values were assigned to the treatment group.

Moreover, we randomized one recipient of the information letter (see Section 3.2 of the pre-analysis plan) per treated household as follows: All household members over the age of eighteen had the same probability of receiving the letter. In a small sample of households consisting only of minors, all individuals aged 15 to 18 had an equal probability of receiving the letter. The randomization code, like all other code written for this PAP, is available in the Github repository of this project.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer. The replication codes are available here: https://github.com/tapiohaa/SoteDataLab/tree/main/ostrobothnia_digital_clinic_experiment/01_randomization
Randomization Unit
Household, defined by permanent address.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
81,564 households in the randomization sample.

Note that the analysis sample will be smaller: we restrict to individuals aged 0 to 70, and we include only those individuals of the randomization population for whom we can link randomization data and socioeconomic covariates.

At the time of writing, we cannot report the exact sample sizes of the analysis data, only the sample sizes of the randomization data. This is mainly because the exact sample sizes of the final research paper will be observed only after merging Statistics Finland full population data (FOLK) of 2024 with the treatment indicator data. At the time of writing, the latest statistical year fully available is 2022.
Sample size: planned number of observations
170,306 individuals in the randomization sample. Note that the analysis sample will be smaller: we restrict to individuals aged 0 to 70, and we include only those individuals of the randomization population for whom we can link randomization data and socioeconomic covariates. At the time of writing, we cannot report the exact sample sizes of the analysis data, only the sample sizes of the randomization data. This is mainly because the exact sample sizes of the final research paper will be observed only after merging Statistics Finland full population data (FOLK) of 2024 with the treatment indicator data. At the time of writing, the latest statistical year fully available is 2022.
Sample size (or number of clusters) by treatment arms
40,782 households (with 85,145 individuals) in the treatment.
40,782 households (with 85,161 individuals) in the control.

Note that the analysis sample will be smaller: we restrict to individuals aged 0 to 70, and we include only those individuals of the randomization population for whom we can link randomization data and socioeconomic covariates.

At the time of writing, we cannot report the exact sample sizes of the analysis data, only the sample sizes of the randomization data. This is mainly because the exact sample sizes of the final research paper will be observed only after merging Statistics Finland full population data (FOLK) of 2024 with the treatment indicator data. At the time of writing, the latest statistical year fully available is 2022.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See our extensive power analyses in Appendix B of our pre-analysis plan (PAP).
IRB

Institutional Review Boards (IRBs)

IRB Name
Finnish Institute for Health and Welfare Institutional Review Board
IRB Approval Date
2024-10-22
IRB Approval Number
THL/5935/6.02.01/2024
Analysis Plan

Analysis Plan Documents

Pre-analysis plan (March 28, 2025)

MD5: 6475464436dd5e12b20212d48f4e4bdf

SHA1: 0128f952957500a0bd37df301e1f634e055efe61

Uploaded At: March 28, 2025