Recruiting Healthcare Workers on the International Labor Market: A Megastudy
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2 other identifiers
interventional
110,000
1 country
1
Brief Summary
Public health organizations in Denmark and most Organization for Economic Cooperation and Development (OECD) countries face an urgent demand for nursing staff. However, existing research does not yet offer a systematic understanding of how to attract talent to public healthcare organizations from the international labor markets. In this study, the researchers will collaborate with a network of Danish public healthcare service providers led by the implementation partner Copenhagen Capacity to implement a large-scale megastudy (n=110,000), aimed at recruiting nurses and nursing assistants from across the European Union to Denmark. The study takes an employer-driven recruitment approach, co-designing and implementing a national recruitment campaign that uses social media job platforms to identify and contact potential recruits with a direct, personal message coming from a national recruitment agency. The study aims to answer three research questions: Research Question 1: Does receiving a behaviorally informed recruitment message (relative to a message with no employer value proposition) motivate a prospective employee to engage? Research Question 2: Does receiving any recruitment message (relative to receiving no message) motivate a prospective employee to engage? Research Question 3: What factors - that could be emphasized as employer value propositions in a short message - would motivate a prospective employee to engage? Study participants will be randomly assigned to one of 10 treatment conditions in which they'll receive a recruitment message highlighting different employer value propositions or a simplified message including no employer value proposition, or to a control group that will receive no message. Researchers will analyze differences across groups in terms of engagement after receiving a recruitment message, which can involve accepting, declining, responding to the message, clicking on a link within the message, and in this link registering to a national database to receive regular newsletters featuring job advertisements.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable healthy
Started Jan 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 20, 2025
CompletedFirst Posted
Study publicly available on registry
January 27, 2025
CompletedStudy Start
First participant enrolled
January 27, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedApril 30, 2026
April 1, 2026
6 months
January 20, 2025
April 29, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Any engagement with recruitment message
A binary indicator defined at the individual level, where 1 indicates that the individual, up to 4 weeks after receiving the message, accepted or declined the recruitment message, and/or wrote a text response to the recruitment message, and/or clicked on the link within the message.
Up to 4 weeks after reception of recruitment message
Secondary Outcomes (3)
Positive engagement with recruitment message
Up to 4 weeks after reception of recruitment message
Click on the landing page
Up to 4 weeks after reception of recruitment message
Registration to the national database
Up to 12 weeks after after receiving the recruitment message (or having been expected to receive the recruitment message had they not been assigned to the control group)
Study Arms (11)
Simplified direct message without employer value proposition
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark, FIRST NAME! In Denmark, there are many open positions for nurses in public healthcare facilities. As a nurse, you'll ensure patients get the care they need. You will identify patients' needs and implement and monitor their corresponding medical plan and treatment. If this sounds like a job you would like, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Family support during relocation
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and we will help your family with the transition, FIRST NAME! The process of getting started as a nurse in Denmark is easy. When you move, we will provide support for your partner to get a job and top-quality childcare and public education for your children. If you want to live in a country where your whole family will feel supported, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Work-life balance
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and enjoy work-life balance, FIRST NAME! In Denmark, we care for the people who care for patients, which is why work-life balance is a priority. If you want to work 37 hours a week, with six weeks of holiday and a schedule planned in advance, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Pay
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and enjoy higher pay, FIRST NAME! Denmark is among the highest paying countries for nurses in Europe with an average annual salary of 47,000 Euros. If you are looking for your work to be valued in terms of a higher pay, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Job benefits
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and enjoy more benefits at work, FIRST NAME! We will offer you several benefits at work: six weeks of paid vacation, flexible working hours planned in advance, free healthcare and retirement benefits. If you are looking for a job that rewards your commitment, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Livability of Denmark
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and enjoy a livable country, FIRST NAME! Denmark is top ranked in terms of livability because it outperforms other European countries in factors such as safety, trust, and life satisfaction. If you want to live in a country where quality of life is top, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Career advancement
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and advance your career, FIRST NAME! We will offer you plenty of opportunities for career development through academic diplomas or job promotions that allow for more responsibility. If you want to advance your nursing career, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
General support during relocation
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and we will help you with the transition, FIRST NAME! The process of getting started as a nurse in Denmark is easy. We will help with finding a home, learning the language and getting settled. If you want to live in a country that will help you relocate, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Competent healthcare system
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark in a well-functioning system, FIRST NAME! The Danish healthcare system is one of the highest ranked in Europe because of a high number of nurses and doctors. If you want to work in a country with a competent and well-functioning healthcare system, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Social support at work
EXPERIMENTALStudy participants in this condition will receive the following recruitment message via LinkedIn InMail: Work in Denmark and enjoy a supportive team, FIRST NAME! We will offer you opportunities to work alongside a nurse partner because working in healthcare can be stressful. If you value supportive work environments, this is the place for you. Read more and apply: \[LINK\] Recruiter name Talent Consultant A State of Denmark
Control group (no message)
EXPERIMENTALDoes not receive a recruitment message
Interventions
Study participants will receive a behaviorally informed recruitment message that highlights an employer value proposition.
Study participants will receive a simplified message that does not highlight any specific employer value proposition.
Study participants will not receive a recruitment message.
Eligibility Criteria
You may not qualify if:
- Their current/primary country/location listed on the public profile corresponds to any of the 26 European Union countries (all European Union member states except Denmark), as well as Norway and Switzerland.
- They have fewer than 10 years of work experience if their profile includes job entries with corresponding start and end dates. Profiles without job dates (preventing calculation of total experience) or with no listed work experience will also be included in the sample.
- Their public profile includes any of the following terms in their job titles, either as full terms or partial matches, in English or any local language: "Nurse", "Nursing Assistant", "Registered Nurse", "Intensive Care Nurse", "Emergency Room Nurse", "Surgical Nurse", "Travel Nurse", "Nurse Practitioner", or "Nursing Student" Additionally, their education section lists any of these terms, either as full terms or partial matches: "Nurse", "Nursing", "Registered Nursing/Registered Nurse" or "Nursing Science". We exclude job titles that indicate roles outside the scope of our interest. Examples include: "Midwife", "Dental nurse", "Veterinary nurse", "Occupational health/company nurse", "Cosmetology nurse", "Military/Fire nurse", "Retired nurse", "Nurse consultant/advisor", and "Nurse teacher/professor". In addition, we drop any positions or education records where the job/degree title appears 5 or fewer times in the sample.
- Individuals with five or more connections on their LinkedIn profile.
- Individuals with an active profile (i.e. a profile that has been updated) in 2024.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Aarhuslead
- Harvard Universitycollaborator
Study Sites (1)
Aarhus University
Aarhus, 8000, Denmark
MeSH Terms
Interventions
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Recruiters interacting with candidates will see only the recruitment message text they are sharing but will remain unaware of specifics of the design and pre-analysis plan.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 20, 2025
First Posted
January 27, 2025
Study Start
January 27, 2025
Primary Completion
July 31, 2025
Study Completion
December 31, 2025
Last Updated
April 30, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR, ANALYTIC CODE
To avoid inadvertently disclosing participants' sensitive personal information, we cannot provide the full megastudy data publicly. However, we will provide a reduced dataset that includes the trial arm assignment, outcome variables, covariates, and an anonymized ID representing each individual. We restrict precise geographical information (e.g., replacing postal codes with broader regional descriptions) to ensure that no combination of variables can identify a group smaller than five individuals. This approach allows researchers to reproduce our main results without risking the potential de-anonymization of participants. De-identified data and materials will be made publicly available on Open Science Framework (OSF).