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Thai nurse cohort study: cohort profiles and key findings

Overview of attention for article published in BMC Nursing, February 2016
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  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Thai nurse cohort study: cohort profiles and key findings
Published in
BMC Nursing, February 2016
DOI 10.1186/s12912-016-0131-0
Pubmed ID
Authors

Krisada Sawaengdee, Viroj Tangcharoensathien, Tuangtip Theerawit, Petsunee Thungjaroenkul, Wilaiphorn Thinkhamrop, Panuwat Prathumkam, Nathaphop Chaichaya, Kavin Thinkhamrop, Chaiwat Tawarungruang, Bandit Thinkhamrop

Abstract

Globally, the nursing profession faces shortages, high turnover, and inequitable distribution. These problems are particularly acute in South East Asia. The present paper describes the design and initial findings of the Thai Nurse Cohort Study (TNCS). The TNCS is a longitudinal prospective cohort study comprising multiple age cohorts, initiated in 2009 and expected to run until 2027. Cohorts comprise registered nurses (RN) holding professional licenses granted by the Thailand Nursing and Midwifery Council. Follow-up is at 3-year intervals, with new (younger) TNCS cohorts introduced and older, no-longer eligible members checked out. This maintains the cohort size as representative of the Thai RN population. The first survey round (2009) used a self-administered mailed questionnaire. The second round (2012) provided follow-up of the initial cohort and formed the baseline survey of new entries. The sampling frame for the first round was 142,699 licensed RN; 50,200 age-stratified participants were randomly selected and mailed the questionnaire, and 18,198 questionnaires were returned owing to incorrect addresses. Of the remaining 32,002 participants, 18,756 (58.6 %) responded (average age 43.7 ± 9.8 years). About 15.4 % (equivalent to 20,000 of the current RN population), reported an intention to leave their nursing career. The second round achieved a follow-up rate of 60.2 %. This round included 3020 participants randomly selected from 6402 new RN (response rate, 38.3 %; mean age 23.1 ± 3.5 years). In this round, 11.2 % reported they intended to leave nursing in the next 2 years. These two survey rounds have highlighted that Thailand is facing critical nurse shortages. A high rate of nurses expressed an intention to leave the profession; the capacity to replace these potential losses is much lower.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 9 18%
Student > Ph. D. Student 7 14%
Student > Bachelor 7 14%
Professor 1 2%
Other 3 6%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 14 27%
Nursing and Health Professions 12 24%
Psychology 2 4%
Engineering 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2021.
All research outputs
#6,597,373
of 23,920,246 outputs
Outputs from BMC Nursing
#203
of 812 outputs
Outputs of similar age
#88,202
of 301,089 outputs
Outputs of similar age from BMC Nursing
#4
of 19 outputs
Altmetric has tracked 23,920,246 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 812 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,089 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.