This study was performed in six Long-Term Care Institutions for the Elderly (LTCIEs) that helped low-income senior citizens in three regions of the country. Its aim is to examine how LTCIEs' internal organizational system maintained structural coupling with surrounding systems. The data were collected through interviews and observation. The analysis was based on concepts of Luhmann's Social Systems Theory. As a result, the rules of belonging did not encourage aid proposals that stimulated independent life and the individuality of residents. The structural couplings with the external environment generated negative resonance within LTCIEs, such as the lack of links to programmatic actions of public primary health care, inability to maintain a multiprofessional staff, inability to fully adapt the infrastructure, and inability to bring reçatives closer to the institution's daily routine. As a positive aspect, the staff was empowered by the presence of students and their professors.
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http://dx.doi.org/10.1590/s1983-14472011000200002 | DOI Listing |
Am J Respir Crit Care Med
January 2025
Imperial College London National Heart and Lung Institute, London, United Kingdom of Great Britain and Northern Ireland;
JMIR Res Protoc
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Background: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
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