Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies
Preventive interventions are often designed and tested with the immediate program period in mind, and little thought that the intervention sample might be followed up for years or even decades beyond the initial trial. However, depending on the type of intervention and the nature of the outcomes, lo...
Gespeichert in:
Veröffentlicht in: | Prevention science 2016-10, Vol.17 (7), p.806-818 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 818 |
---|---|
container_issue | 7 |
container_start_page | 806 |
container_title | Prevention science |
container_volume | 17 |
creator | Hill, Karl G. Woodward, Danielle Woelfel, Tiffany Hawkins, J. David Green, Sara |
description | Preventive interventions are often designed and tested with the immediate program period in mind, and little thought that the intervention sample might be followed up for years or even decades beyond the initial trial. However, depending on the type of intervention and the nature of the outcomes, long-term follow-up may well be appropriate. The advantages of long-term follow-up of preventive interventions are discussed and include the capacity to examine program effects across multiple later life outcomes, the ability to examine the etiological processes involved in the development of the outcomes of interest, and the ability to provide more concrete estimates of the relative benefits and costs of an intervention. In addition, researchers have identified potential methodological risks of long-term follow-up such as inflation of type 1 error through post hoc selection of outcomes, selection bias, and problems stemming from attrition over time. The present paper presents a set of seven recommendations for the design or evaluation of studies for potential long-term follow-up organized under four areas:
Intervention Logic Model
,
Developmental Theory and Measurement Issues
;
Design for Retention
;
Dealing with Missing Data
;
and Unique Considerations for Intervention Studies.
These recommendations include conceptual considerations in the design of a study, pragmatic concerns in the design and implementation of the data collection for long-term follow-up, as well as criteria to be considered for the evaluation of an existing intervention for potential for long-term follow-up. Concrete examples from existing intervention studies that have been followed up over the long term are provided. |
doi_str_mv | 10.1007/s11121-015-0610-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5337427</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4187178911</sourcerecordid><originalsourceid>FETCH-LOGICAL-c536t-5569dbba5efb8971e680ceed23a9b74de22433e7114266255c57bad3a2aecf2b3</originalsourceid><addsrcrecordid>eNp1kVtr3DAQhUVJaS7tD-hLMOSlL2o0kiXZeSiEkEthaQLdfRayPXYdbGkr2Sn599Fm05AEAgINzKejM3MI-QrsOzCmjyMAcKAMJGUKGNUfyB5ILahSpdxJtShKmpeF2iX7Md4yBkoK9onscpVLkc4e-XUzWOd612WtD9nCu44uMYzZhR8G_4-u1ifZ7ynYCbseY7ZAGxw2WRv8-Aj309z0zg4JSgXGz-Rja4eIX57uA7K6OF-eXdHF9eXPs9MFraVQE5VSlU1VWYltVZQaUBWsRmy4sGWl8wY5z4VADZBzpbiUtdSVbYTlFuuWV-KA_NjqrudqxKZGl0wOZh360YZ7421vXndc_8d0_s5IIXTOdRL49iQQ_N8Z42TGPtY4pG2gn6OBgnOAMm01oUdv0Fs_hzT0I7UJAooiUbCl6uBjDNg-mwFmNpDZpmVSWmaTltmYOHw5xfOL__EkgG-BmFquw_Di63dVHwD2JqAG</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1821007188</pqid></control><display><type>article</type><title>Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies</title><source>MEDLINE</source><source>PAIS Index</source><source>SpringerLink Journals</source><creator>Hill, Karl G. ; Woodward, Danielle ; Woelfel, Tiffany ; Hawkins, J. David ; Green, Sara</creator><creatorcontrib>Hill, Karl G. ; Woodward, Danielle ; Woelfel, Tiffany ; Hawkins, J. David ; Green, Sara</creatorcontrib><description>Preventive interventions are often designed and tested with the immediate program period in mind, and little thought that the intervention sample might be followed up for years or even decades beyond the initial trial. However, depending on the type of intervention and the nature of the outcomes, long-term follow-up may well be appropriate. The advantages of long-term follow-up of preventive interventions are discussed and include the capacity to examine program effects across multiple later life outcomes, the ability to examine the etiological processes involved in the development of the outcomes of interest, and the ability to provide more concrete estimates of the relative benefits and costs of an intervention. In addition, researchers have identified potential methodological risks of long-term follow-up such as inflation of type 1 error through post hoc selection of outcomes, selection bias, and problems stemming from attrition over time. The present paper presents a set of seven recommendations for the design or evaluation of studies for potential long-term follow-up organized under four areas:
Intervention Logic Model
,
Developmental Theory and Measurement Issues
;
Design for Retention
;
Dealing with Missing Data
;
and Unique Considerations for Intervention Studies.
These recommendations include conceptual considerations in the design of a study, pragmatic concerns in the design and implementation of the data collection for long-term follow-up, as well as criteria to be considered for the evaluation of an existing intervention for potential for long-term follow-up. Concrete examples from existing intervention studies that have been followed up over the long term are provided.</description><identifier>ISSN: 1389-4986</identifier><identifier>EISSN: 1573-6695</identifier><identifier>DOI: 10.1007/s11121-015-0610-7</identifier><identifier>PMID: 26453453</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Attrition ; Bias ; Child and School Psychology ; Cost-benefit analysis ; Criteria ; Data collection ; Guidelines as Topic ; Health Psychology ; Humans ; Implementation ; Inflation ; Intervention ; Longitudinal Studies ; Medicine ; Medicine & Public Health ; Outcome Assessment, Health Care - organization & administration ; Planning ; Planning Techniques ; Preventive Medicine ; Psychopathology ; Public Health ; Research methodology ; Researchers ; Retention ; Social change ; Social research ; Studies ; Survival analysis</subject><ispartof>Prevention science, 2016-10, Vol.17 (7), p.806-818</ispartof><rights>Society for Prevention Research 2015</rights><rights>Society for Prevention Research 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-5569dbba5efb8971e680ceed23a9b74de22433e7114266255c57bad3a2aecf2b3</citedby><cites>FETCH-LOGICAL-c536t-5569dbba5efb8971e680ceed23a9b74de22433e7114266255c57bad3a2aecf2b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11121-015-0610-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11121-015-0610-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27843,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26453453$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hill, Karl G.</creatorcontrib><creatorcontrib>Woodward, Danielle</creatorcontrib><creatorcontrib>Woelfel, Tiffany</creatorcontrib><creatorcontrib>Hawkins, J. David</creatorcontrib><creatorcontrib>Green, Sara</creatorcontrib><title>Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies</title><title>Prevention science</title><addtitle>Prev Sci</addtitle><addtitle>Prev Sci</addtitle><description>Preventive interventions are often designed and tested with the immediate program period in mind, and little thought that the intervention sample might be followed up for years or even decades beyond the initial trial. However, depending on the type of intervention and the nature of the outcomes, long-term follow-up may well be appropriate. The advantages of long-term follow-up of preventive interventions are discussed and include the capacity to examine program effects across multiple later life outcomes, the ability to examine the etiological processes involved in the development of the outcomes of interest, and the ability to provide more concrete estimates of the relative benefits and costs of an intervention. In addition, researchers have identified potential methodological risks of long-term follow-up such as inflation of type 1 error through post hoc selection of outcomes, selection bias, and problems stemming from attrition over time. The present paper presents a set of seven recommendations for the design or evaluation of studies for potential long-term follow-up organized under four areas:
Intervention Logic Model
,
Developmental Theory and Measurement Issues
;
Design for Retention
;
Dealing with Missing Data
;
and Unique Considerations for Intervention Studies.
These recommendations include conceptual considerations in the design of a study, pragmatic concerns in the design and implementation of the data collection for long-term follow-up, as well as criteria to be considered for the evaluation of an existing intervention for potential for long-term follow-up. Concrete examples from existing intervention studies that have been followed up over the long term are provided.</description><subject>Attrition</subject><subject>Bias</subject><subject>Child and School Psychology</subject><subject>Cost-benefit analysis</subject><subject>Criteria</subject><subject>Data collection</subject><subject>Guidelines as Topic</subject><subject>Health Psychology</subject><subject>Humans</subject><subject>Implementation</subject><subject>Inflation</subject><subject>Intervention</subject><subject>Longitudinal Studies</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Outcome Assessment, Health Care - organization & administration</subject><subject>Planning</subject><subject>Planning Techniques</subject><subject>Preventive Medicine</subject><subject>Psychopathology</subject><subject>Public Health</subject><subject>Research methodology</subject><subject>Researchers</subject><subject>Retention</subject><subject>Social change</subject><subject>Social research</subject><subject>Studies</subject><subject>Survival analysis</subject><issn>1389-4986</issn><issn>1573-6695</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kVtr3DAQhUVJaS7tD-hLMOSlL2o0kiXZeSiEkEthaQLdfRayPXYdbGkr2Sn599Fm05AEAgINzKejM3MI-QrsOzCmjyMAcKAMJGUKGNUfyB5ILahSpdxJtShKmpeF2iX7Md4yBkoK9onscpVLkc4e-XUzWOd612WtD9nCu44uMYzZhR8G_4-u1ifZ7ynYCbseY7ZAGxw2WRv8-Aj309z0zg4JSgXGz-Rja4eIX57uA7K6OF-eXdHF9eXPs9MFraVQE5VSlU1VWYltVZQaUBWsRmy4sGWl8wY5z4VADZBzpbiUtdSVbYTlFuuWV-KA_NjqrudqxKZGl0wOZh360YZ7421vXndc_8d0_s5IIXTOdRL49iQQ_N8Z42TGPtY4pG2gn6OBgnOAMm01oUdv0Fs_hzT0I7UJAooiUbCl6uBjDNg-mwFmNpDZpmVSWmaTltmYOHw5xfOL__EkgG-BmFquw_Di63dVHwD2JqAG</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Hill, Karl G.</creator><creator>Woodward, Danielle</creator><creator>Woelfel, Tiffany</creator><creator>Hawkins, J. David</creator><creator>Green, Sara</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7TQ</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AM</scope><scope>8AO</scope><scope>8BJ</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>JBE</scope><scope>K7.</scope><scope>K9.</scope><scope>KC-</scope><scope>M0O</scope><scope>M0S</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161001</creationdate><title>Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies</title><author>Hill, Karl G. ; Woodward, Danielle ; Woelfel, Tiffany ; Hawkins, J. David ; Green, Sara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-5569dbba5efb8971e680ceed23a9b74de22433e7114266255c57bad3a2aecf2b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Attrition</topic><topic>Bias</topic><topic>Child and School Psychology</topic><topic>Cost-benefit analysis</topic><topic>Criteria</topic><topic>Data collection</topic><topic>Guidelines as Topic</topic><topic>Health Psychology</topic><topic>Humans</topic><topic>Implementation</topic><topic>Inflation</topic><topic>Intervention</topic><topic>Longitudinal Studies</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Outcome Assessment, Health Care - organization & administration</topic><topic>Planning</topic><topic>Planning Techniques</topic><topic>Preventive Medicine</topic><topic>Psychopathology</topic><topic>Public Health</topic><topic>Research methodology</topic><topic>Researchers</topic><topic>Retention</topic><topic>Social change</topic><topic>Social research</topic><topic>Studies</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hill, Karl G.</creatorcontrib><creatorcontrib>Woodward, Danielle</creatorcontrib><creatorcontrib>Woelfel, Tiffany</creatorcontrib><creatorcontrib>Hawkins, J. David</creatorcontrib><creatorcontrib>Green, Sara</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>PAIS Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Criminology Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Politics Collection</collection><collection>Criminal Justice Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>Psychology Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Prevention science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hill, Karl G.</au><au>Woodward, Danielle</au><au>Woelfel, Tiffany</au><au>Hawkins, J. David</au><au>Green, Sara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies</atitle><jtitle>Prevention science</jtitle><stitle>Prev Sci</stitle><addtitle>Prev Sci</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>17</volume><issue>7</issue><spage>806</spage><epage>818</epage><pages>806-818</pages><issn>1389-4986</issn><eissn>1573-6695</eissn><abstract>Preventive interventions are often designed and tested with the immediate program period in mind, and little thought that the intervention sample might be followed up for years or even decades beyond the initial trial. However, depending on the type of intervention and the nature of the outcomes, long-term follow-up may well be appropriate. The advantages of long-term follow-up of preventive interventions are discussed and include the capacity to examine program effects across multiple later life outcomes, the ability to examine the etiological processes involved in the development of the outcomes of interest, and the ability to provide more concrete estimates of the relative benefits and costs of an intervention. In addition, researchers have identified potential methodological risks of long-term follow-up such as inflation of type 1 error through post hoc selection of outcomes, selection bias, and problems stemming from attrition over time. The present paper presents a set of seven recommendations for the design or evaluation of studies for potential long-term follow-up organized under four areas:
Intervention Logic Model
,
Developmental Theory and Measurement Issues
;
Design for Retention
;
Dealing with Missing Data
;
and Unique Considerations for Intervention Studies.
These recommendations include conceptual considerations in the design of a study, pragmatic concerns in the design and implementation of the data collection for long-term follow-up, as well as criteria to be considered for the evaluation of an existing intervention for potential for long-term follow-up. Concrete examples from existing intervention studies that have been followed up over the long term are provided.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26453453</pmid><doi>10.1007/s11121-015-0610-7</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1389-4986 |
ispartof | Prevention science, 2016-10, Vol.17 (7), p.806-818 |
issn | 1389-4986 1573-6695 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5337427 |
source | MEDLINE; PAIS Index; SpringerLink Journals |
subjects | Attrition Bias Child and School Psychology Cost-benefit analysis Criteria Data collection Guidelines as Topic Health Psychology Humans Implementation Inflation Intervention Longitudinal Studies Medicine Medicine & Public Health Outcome Assessment, Health Care - organization & administration Planning Planning Techniques Preventive Medicine Psychopathology Public Health Research methodology Researchers Retention Social change Social research Studies Survival analysis |
title | Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal Studies |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T05%3A16%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Planning%20for%20Long-Term%20Follow-Up:%20Strategies%20Learned%20from%20Longitudinal%20Studies&rft.jtitle=Prevention%20science&rft.au=Hill,%20Karl%20G.&rft.date=2016-10-01&rft.volume=17&rft.issue=7&rft.spage=806&rft.epage=818&rft.pages=806-818&rft.issn=1389-4986&rft.eissn=1573-6695&rft_id=info:doi/10.1007/s11121-015-0610-7&rft_dat=%3Cproquest_pubme%3E4187178911%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1821007188&rft_id=info:pmid/26453453&rfr_iscdi=true |