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Thai nurse cohort study: cohort profiles and key findings

Identifieur interne : 003615 ( Ncbi/Merge ); précédent : 003614; suivant : 003616

Thai nurse cohort study: cohort profiles and key findings

Auteurs : Krisada Sawaengdee [Thaïlande] ; Viroj Tangcharoensathien [Thaïlande] ; Tuangtip Theerawit [Thaïlande] ; Petsunee Thungjaroenkul [Thaïlande] ; Wilaiphorn Thinkhamrop [Thaïlande] ; Panuwat Prathumkam [Thaïlande] ; Nathaphop Chaichaya [Thaïlande] ; Kavin Thinkhamrop [Thaïlande] ; Chaiwat Tawarungruang [Thaïlande] ; Bandit Thinkhamrop [Thaïlande]

Source :

RBID : PMC:4757969

Abstract

Background

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).

Methods

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.

Results

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.

Conclusions

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.


Url:
DOI: 10.1186/s12912-016-0131-0
PubMed: 26893589
PubMed Central: 4757969

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PMC:4757969

Le document en format XML

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<name sortKey="Tawarungruang, Chaiwat" sort="Tawarungruang, Chaiwat" uniqKey="Tawarungruang C" first="Chaiwat" last="Tawarungruang">Chaiwat Tawarungruang</name>
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<sec>
<title>Background</title>
<p>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).</p>
</sec>
<sec>
<title>Methods</title>
<p>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.</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>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.</p>
</sec>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">BMC Nurs</journal-id>
<journal-id journal-id-type="iso-abbrev">BMC Nurs</journal-id>
<journal-title-group>
<journal-title>BMC Nursing</journal-title>
</journal-title-group>
<issn pub-type="epub">1472-6955</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26893589</article-id>
<article-id pub-id-type="pmc">4757969</article-id>
<article-id pub-id-type="publisher-id">131</article-id>
<article-id pub-id-type="doi">10.1186/s12912-016-0131-0</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Thai nurse cohort study: cohort profiles and key findings</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Sawaengdee</surname>
<given-names>Krisada</given-names>
</name>
<address>
<email>ksawaengdee@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tangcharoensathien</surname>
<given-names>Viroj</given-names>
</name>
<address>
<email>viroj@ihpp.thaigov.net</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Theerawit</surname>
<given-names>Tuangtip</given-names>
</name>
<address>
<email>tuangtipt@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thungjaroenkul</surname>
<given-names>Petsunee</given-names>
</name>
<address>
<email>petsunee@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff2"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thinkhamrop</surname>
<given-names>Wilaiphorn</given-names>
</name>
<address>
<email>w.think@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Prathumkam</surname>
<given-names>Panuwat</given-names>
</name>
<address>
<email>panuwat@thaimedresnet.org</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chaichaya</surname>
<given-names>Nathaphop</given-names>
</name>
<address>
<email>mr.utis@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thinkhamrop</surname>
<given-names>Kavin</given-names>
</name>
<address>
<email>kapiakth@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tawarungruang</surname>
<given-names>Chaiwat</given-names>
</name>
<address>
<email>c.tawarungruang@gmail.com</email>
</address>
<xref ref-type="aff" rid="Aff3"></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Thinkhamrop</surname>
<given-names>Bandit</given-names>
</name>
<address>
<email>bandit@kku.ac.th</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
<xref ref-type="aff" rid="Aff3"></xref>
<xref ref-type="aff" rid="Aff4"></xref>
</contrib>
<aff id="Aff1">
<label></label>
Thai Nurse Cohort Study (TNCS), International Health Policy Program, Ministry of Public Health, Tiwanon Rd., Nonthaburi, 11000 Thailand</aff>
<aff id="Aff2">
<label></label>
Faculty of Nursing, Chiang Mai University, Chiang Mai, 50200 Thailand</aff>
<aff id="Aff3">
<label></label>
Data Management and Statistical Analysis Center (DAMASAC), Faculty of Public Health, Khon Kaen University, Khon Kaen, 40002 Thailand</aff>
<aff id="Aff4">
<label></label>
Department of Biostatistics and Demography, Faculty of Public Health, Khon Kaen University, Khon Kaen, 40002 Thailand</aff>
</contrib-group>
<pub-date pub-type="epub">
<day>17</day>
<month>2</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>17</day>
<month>2</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>15</volume>
<elocation-id>10</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>9</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>3</day>
<month>2</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© Sawaengdee et al. 2016</copyright-statement>
<license license-type="OpenAccess">
<license-p>
<bold>Open Access</bold>
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<sec>
<title>Background</title>
<p>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).</p>
</sec>
<sec>
<title>Methods</title>
<p>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.</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>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.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<title>Keywords</title>
<kwd>Nurse cohort</kwd>
<kwd>Workforce shortage</kwd>
<kwd>Inequitable distribution</kwd>
<kwd>Women’s health</kwd>
</kwd-group>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2016</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Thaïlande</li>
</country>
</list>
<tree>
<country name="Thaïlande">
<noRegion>
<name sortKey="Sawaengdee, Krisada" sort="Sawaengdee, Krisada" uniqKey="Sawaengdee K" first="Krisada" last="Sawaengdee">Krisada Sawaengdee</name>
</noRegion>
<name sortKey="Chaichaya, Nathaphop" sort="Chaichaya, Nathaphop" uniqKey="Chaichaya N" first="Nathaphop" last="Chaichaya">Nathaphop Chaichaya</name>
<name sortKey="Prathumkam, Panuwat" sort="Prathumkam, Panuwat" uniqKey="Prathumkam P" first="Panuwat" last="Prathumkam">Panuwat Prathumkam</name>
<name sortKey="Tangcharoensathien, Viroj" sort="Tangcharoensathien, Viroj" uniqKey="Tangcharoensathien V" first="Viroj" last="Tangcharoensathien">Viroj Tangcharoensathien</name>
<name sortKey="Tawarungruang, Chaiwat" sort="Tawarungruang, Chaiwat" uniqKey="Tawarungruang C" first="Chaiwat" last="Tawarungruang">Chaiwat Tawarungruang</name>
<name sortKey="Theerawit, Tuangtip" sort="Theerawit, Tuangtip" uniqKey="Theerawit T" first="Tuangtip" last="Theerawit">Tuangtip Theerawit</name>
<name sortKey="Thinkhamrop, Bandit" sort="Thinkhamrop, Bandit" uniqKey="Thinkhamrop B" first="Bandit" last="Thinkhamrop">Bandit Thinkhamrop</name>
<name sortKey="Thinkhamrop, Bandit" sort="Thinkhamrop, Bandit" uniqKey="Thinkhamrop B" first="Bandit" last="Thinkhamrop">Bandit Thinkhamrop</name>
<name sortKey="Thinkhamrop, Bandit" sort="Thinkhamrop, Bandit" uniqKey="Thinkhamrop B" first="Bandit" last="Thinkhamrop">Bandit Thinkhamrop</name>
<name sortKey="Thinkhamrop, Kavin" sort="Thinkhamrop, Kavin" uniqKey="Thinkhamrop K" first="Kavin" last="Thinkhamrop">Kavin Thinkhamrop</name>
<name sortKey="Thinkhamrop, Wilaiphorn" sort="Thinkhamrop, Wilaiphorn" uniqKey="Thinkhamrop W" first="Wilaiphorn" last="Thinkhamrop">Wilaiphorn Thinkhamrop</name>
<name sortKey="Thungjaroenkul, Petsunee" sort="Thungjaroenkul, Petsunee" uniqKey="Thungjaroenkul P" first="Petsunee" last="Thungjaroenkul">Petsunee Thungjaroenkul</name>
</country>
</tree>
</affiliations>
</record>

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