RESUMO
BACKGROUND: Information and Communication Technologies (ICTs) could be useful for delivering non-pharmacological therapies (NPTs) for dementia in nursing home settings. AIMS: To identify technology-related expectations and inhibitions of healthcare professionals associated with the intention to use ICT-based NPTs. DESIGN: Cross-sectional multi-method survey. METHODS: N = 205 healthcare professionals completed a quantitative survey on usage and attitudes towards ICTs. Additionally, N = 11 semi-structured interviews were conducted. RESULTS: Participants were classified as intenders to use ICTs (53%), non-intenders (14%) or ambivalent (32%). A MANCOVA revealed higher perceived usefulness for intenders compared to non-intenders and ambivalent healthcare professionals (V =.28, F(12, 292)= 3.94, p <.001). Qualitative interviews revealed generally high acceptance of ICTs in the workplace. Furthermore, benefits for residents emerged as a key requirement. CONCLUSION: Staff trainings should stress specific benefits for residents and healthcare professionals to facilitate successful implementation and acceptance of ICTs in nursing home settings.
Assuntos
Atitude do Pessoal de Saúde , Comunicação , Demência/psicologia , Demência/terapia , Pessoal de Saúde/psicologia , Invenções , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Casas de Saúde , Inquéritos e QuestionáriosRESUMO
BACKGROUND: 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. AIM AND METHOD: 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. RESULTS: 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. CONCLUSIONS: 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.