Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 9, 2023
Open Peer Review Period: Jun 9, 2023 - Aug 4, 2023
Date Accepted: Jul 26, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed Individuals: Comparison Study

Raussi V, Kujala S, Hörhammer I, Savolainen K, Koskela T, Autio R

Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed Individuals: Comparison Study

J Med Internet Res 2024;26:e49802

DOI: 10.2196/49802

PMID: 39412874

PMCID: 11525086

Comparing an online health check with traditional nurse-led health examinations among the long-term unemployed: A comparison study

  • Venla Raussi; 
  • Sari Kujala; 
  • Iiris Hörhammer; 
  • Kaisa Savolainen; 
  • Tuomas Koskela; 
  • Reija Autio

ABSTRACT

Background:

An online health check can be used to screen health behavior risks in the population, help health care professionals with standardized risk estimation for their patients, and motivate a patient to change unhealthy behaviors. The long-term unemployed comprise a particular subgroup with an increased risk of lifestyle-related diseases.

Objective:

This study aims to investigate the clinical utility of a general online health examination, the STAR Duodecim Health Check and Coaching Program (hereafter, STAR), which was developed in Finland, in the targeted screening of the long-term unemployed. For this purpose, we compared the health challenges identified by an online health check with those identified by a nurse during a face-to-face health check for the unemployed.

Methods:

In this mixed-methods validation study, 49 unemployed participants attending a health check were recruited from two Finnish primary health care centers. The participants used STAR and attended a nurse’s health check. Data were collected by surveys with multiple-choice and open-ended questions from the participants, nurses, and a study assistant who observed the session. The health challenges identified by STAR were compared with the three most important health challenges identified by the nurses. The health challenges were categorized and the percentages of agreement between STAR and the nurses and the confidence intervals of the percentages were calculated. The health challenges not recognized by STAR were identified.

Results:

STAR identified a total of 365 health challenges, an average of 7.4 health challenges per participant (n=49). The nurses noted 160 challenges among the top-three most significant health challenges (n=47). In 53.2% of the cases (25/47), STAR identified all categorized health challenges named by the nurses (95% CI [38.1, 67.9]). In 63.8% of cases (30/47), STAR identified at least 2/3 of the health challenges identified by the nurse (95% CI [48.5, 77.3]). STAR left a total of 89 health challenges, an average of 1.8 per participant, uncategorized, because STAR lacked an answer to the question(s) required for the classification of a certain health challenge. The participants were most often not able to add information on their blood pressure (36/49, 73.5%), cholesterol (22/49, 44.9%), and waist circumference (15/49, 30.6%).

Conclusions:

In conclusion, STAR identified most of the health challenges identified by the nurses but missed some essential ones. Unemployed participants did not have information on measurements such as blood pressure and cholesterol values, which are pivotal in assessing cardiovascular risks. Using the tool for screening or as a part of a traditional health check with necessary measurements and dialog with health care professionals may improve the risk assessments and streamline the health checks of the unemployed. Clinical Trial: This study was approved by the Ethics Committee of the Expert Responsibility Area of Tampere University Hospital in June 2020 (ETL Code R20067).


 Citation

Please cite as:

Raussi V, Kujala S, Hörhammer I, Savolainen K, Koskela T, Autio R

Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed Individuals: Comparison Study

J Med Internet Res 2024;26:e49802

DOI: 10.2196/49802

PMID: 39412874

PMCID: 11525086

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.