What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes
Non-response bias is a major problem for the validity of survey answers. Analyses of reasons for non-response in surveys with nursing home residents (NHR) are scarce. The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using th...
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| Veröffentlicht in: | Pflege 2015-02, Vol.28 (1), p.33-45 |
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| creator | Budnick, Andrea Jordan, Laura-Maria Könner, Franziska Hannemann, Bianca Wulff, Ines Kalinowski, Sonja Kreutz, Reinhold Dräger, Dagmar |
| description | Non-response bias is a major problem for the validity of survey answers. Analyses of reasons for non-response in surveys with nursing home residents (NHR) are scarce.
The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using the "Prozessmodell induktiver Kategorienbildung" following Mayring (2010). Furthermore, characteristics of unit non-responder and responder were compared.
Forming of categories of reasons for non-response was conducted with 522 NHR, longitudinally. Four major categories were identified (general refusal, health reasons, accessibility, excessive demand) and further 17 subcategories. Unit-non-responder and responder did not differ in age and sex; however follow-up non-responder showed differences in marital status, training qualification, and cognitive status.
The presented scheme of categories can be used to assess reasons for non-response in nursing homes. Standardised assessment of reasons for non-response may contribute to higher response rates in this setting. |
| doi_str_mv | 10.1024/1012-5302/a000402 |
| format | Article |
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The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using the "Prozessmodell induktiver Kategorienbildung" following Mayring (2010). Furthermore, characteristics of unit non-responder and responder were compared.
Forming of categories of reasons for non-response was conducted with 522 NHR, longitudinally. Four major categories were identified (general refusal, health reasons, accessibility, excessive demand) and further 17 subcategories. Unit-non-responder and responder did not differ in age and sex; however follow-up non-responder showed differences in marital status, training qualification, and cognitive status.
The presented scheme of categories can be used to assess reasons for non-response in nursing homes. Standardised assessment of reasons for non-response may contribute to higher response rates in this setting.</description><identifier>ISSN: 1012-5302</identifier><identifier>DOI: 10.1024/1012-5302/a000402</identifier><identifier>PMID: 25631957</identifier><language>ger</language><publisher>Switzerland</publisher><subject>Aged ; Aged, 80 and over ; Bias ; Chronic Disease - nursing ; Chronic Disease - psychology ; Cluster Analysis ; Data Collection - statistics & numerical data ; Female ; Germany ; Homes for the Aged ; Humans ; Male ; Nursing ; Nursing Homes ; Observer Variation ; Pain Management - nursing ; Pain Management - statistics & numerical data ; Patient Dropouts - psychology ; Patient Dropouts - statistics & numerical data</subject><ispartof>Pflege, 2015-02, Vol.28 (1), p.33-45</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25631957$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Budnick, Andrea</creatorcontrib><creatorcontrib>Jordan, Laura-Maria</creatorcontrib><creatorcontrib>Könner, Franziska</creatorcontrib><creatorcontrib>Hannemann, Bianca</creatorcontrib><creatorcontrib>Wulff, Ines</creatorcontrib><creatorcontrib>Kalinowski, Sonja</creatorcontrib><creatorcontrib>Kreutz, Reinhold</creatorcontrib><creatorcontrib>Dräger, Dagmar</creatorcontrib><title>What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes</title><title>Pflege</title><addtitle>Pflege</addtitle><description>Non-response bias is a major problem for the validity of survey answers. Analyses of reasons for non-response in surveys with nursing home residents (NHR) are scarce.
The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using the "Prozessmodell induktiver Kategorienbildung" following Mayring (2010). Furthermore, characteristics of unit non-responder and responder were compared.
Forming of categories of reasons for non-response was conducted with 522 NHR, longitudinally. Four major categories were identified (general refusal, health reasons, accessibility, excessive demand) and further 17 subcategories. Unit-non-responder and responder did not differ in age and sex; however follow-up non-responder showed differences in marital status, training qualification, and cognitive status.
The presented scheme of categories can be used to assess reasons for non-response in nursing homes. Standardised assessment of reasons for non-response may contribute to higher response rates in this setting.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bias</subject><subject>Chronic Disease - nursing</subject><subject>Chronic Disease - psychology</subject><subject>Cluster Analysis</subject><subject>Data Collection - statistics & numerical data</subject><subject>Female</subject><subject>Germany</subject><subject>Homes for the Aged</subject><subject>Humans</subject><subject>Male</subject><subject>Nursing</subject><subject>Nursing Homes</subject><subject>Observer Variation</subject><subject>Pain Management - nursing</subject><subject>Pain Management - statistics & numerical data</subject><subject>Patient Dropouts - psychology</subject><subject>Patient Dropouts - statistics & numerical data</subject><issn>1012-5302</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkL9OwzAYxD2AaCk8AAvyyJLWdmwnHqsKClIllkqMkRs71Cixg_8g9VF4W1woSCzfJ9397oYD4AajOUaELjDCpGAlIguJEKKInIHpnzYBlyG8ZZkKVF2ACWG8xIJVU_D5spcRSq9h3GvotQzOBtg5D0cZjbYRKu9GlyI0Ftrkg7GvcO-GIxuMykA4OtLmG7X_yIJxFoaY1GEOl0dH9odgAnQdTNZEaJ3N0dFZpf13FhO41n6Q__vDFTjvZB_09enPwPbhfrt6LDbP66fVclOMjFcFxkwLXtWEtJXq2rYWmmEk-K7uai4EQ5TXLW93LWWKlgp3mLOqzsMIioVktJyBu5_a0bv3pENsBhNa3ffSapdCk3lCCa0JyujtCU27Qatm9GaQ_tD8rll-AZMQdm4</recordid><startdate>201502</startdate><enddate>201502</enddate><creator>Budnick, Andrea</creator><creator>Jordan, Laura-Maria</creator><creator>Könner, Franziska</creator><creator>Hannemann, Bianca</creator><creator>Wulff, Ines</creator><creator>Kalinowski, Sonja</creator><creator>Kreutz, Reinhold</creator><creator>Dräger, Dagmar</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201502</creationdate><title>What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes</title><author>Budnick, Andrea ; Jordan, Laura-Maria ; Könner, Franziska ; Hannemann, Bianca ; Wulff, Ines ; Kalinowski, Sonja ; Kreutz, Reinhold ; Dräger, Dagmar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p567-115e967822c7dfcc89e51096b8f869950468c6cbc45d43d1f165781019419a543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>ger</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bias</topic><topic>Chronic Disease - nursing</topic><topic>Chronic Disease - psychology</topic><topic>Cluster Analysis</topic><topic>Data Collection - statistics & numerical data</topic><topic>Female</topic><topic>Germany</topic><topic>Homes for the Aged</topic><topic>Humans</topic><topic>Male</topic><topic>Nursing</topic><topic>Nursing Homes</topic><topic>Observer Variation</topic><topic>Pain Management - nursing</topic><topic>Pain Management - statistics & numerical data</topic><topic>Patient Dropouts - psychology</topic><topic>Patient Dropouts - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Budnick, Andrea</creatorcontrib><creatorcontrib>Jordan, Laura-Maria</creatorcontrib><creatorcontrib>Könner, Franziska</creatorcontrib><creatorcontrib>Hannemann, Bianca</creatorcontrib><creatorcontrib>Wulff, Ines</creatorcontrib><creatorcontrib>Kalinowski, Sonja</creatorcontrib><creatorcontrib>Kreutz, Reinhold</creatorcontrib><creatorcontrib>Dräger, Dagmar</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Pflege</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Budnick, Andrea</au><au>Jordan, Laura-Maria</au><au>Könner, Franziska</au><au>Hannemann, Bianca</au><au>Wulff, Ines</au><au>Kalinowski, Sonja</au><au>Kreutz, Reinhold</au><au>Dräger, Dagmar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes</atitle><jtitle>Pflege</jtitle><addtitle>Pflege</addtitle><date>2015-02</date><risdate>2015</risdate><volume>28</volume><issue>1</issue><spage>33</spage><epage>45</epage><pages>33-45</pages><issn>1012-5302</issn><abstract>Non-response bias is a major problem for the validity of survey answers. Analyses of reasons for non-response in surveys with nursing home residents (NHR) are scarce.
The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using the "Prozessmodell induktiver Kategorienbildung" following Mayring (2010). Furthermore, characteristics of unit non-responder and responder were compared.
Forming of categories of reasons for non-response was conducted with 522 NHR, longitudinally. Four major categories were identified (general refusal, health reasons, accessibility, excessive demand) and further 17 subcategories. Unit-non-responder and responder did not differ in age and sex; however follow-up non-responder showed differences in marital status, training qualification, and cognitive status.
The presented scheme of categories can be used to assess reasons for non-response in nursing homes. Standardised assessment of reasons for non-response may contribute to higher response rates in this setting.</abstract><cop>Switzerland</cop><pmid>25631957</pmid><doi>10.1024/1012-5302/a000402</doi><tpages>13</tpages></addata></record> |
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| source | MEDLINE; Hogrefe eContent |
| subjects | Aged Aged, 80 and over Bias Chronic Disease - nursing Chronic Disease - psychology Cluster Analysis Data Collection - statistics & numerical data Female Germany Homes for the Aged Humans Male Nursing Nursing Homes Observer Variation Pain Management - nursing Pain Management - statistics & numerical data Patient Dropouts - psychology Patient Dropouts - statistics & numerical data |
| title | What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes |
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