Re-conceiving building design quality: A review of building users in their social context.
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ABSTRACT:
SUBMITTER: Watson KJ
PROVIDER: S-EPMC4830095 | biostudies-other | 2016 May
REPOSITORIES: biostudies-other
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Project description:ObjectiveWe explored the concept of design quality in relation to healthcare environments. In addition, we present a taxonomy that illustrates the wide range of terms used in connection with design quality in healthcare.BackgroundHigh-quality physical environments can promote health and well-being. Developments in healthcare technology and methodology put high demands on the design quality of care environments, coupled with increasing expectations and demands from patients and staff that care environments be person centered, welcoming, and accessible while also supporting privacy and security. In addition, there are demands that decisions about the design of healthcare architecture be based on the best available information from credible research and the evaluation of existing building projects.MethodThe basic principles of Arksey and O'Malley's model of scoping review design were used. Data were derived from literature searches in scientific databases. A total of 18 articles and books were found that referred to design quality in a healthcare context.ResultsDesign quality of physical healthcare environments involves three different themes: (i) environmental sustainability and ecological values, (ii) social and cultural interactions and values, and (iii) resilience of the engineering and building construction. Design quality was clarified herein with a definition.ConclusionsAwareness of what is considered design quality in relation to healthcare architecture could help to design healthcare environments based on evidence. To operationalize the concept, its definition must be clear and explicit and able to meet the complex needs of the stakeholders in a healthcare context, including patients, staff, and significant others.
| S-EPMC5484461 | biostudies-literature
Project description:Subjective well-being includes 'affect' and 'satisfaction with life' (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users' affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p < 0.01), indicating that language-based assessment can constitute valid SWL measures; the machine-assessed affect scores resemble those reported in a previous experimental study; and the machine-predicted subjective well-being profile can also reflect other psychological traits like depression (r = 0.24, p < 0.01). This study provides important insights for psychological prediction using multiple, machine-assessed components and longitudinal or dense psychological assessment using social media language.
| S-EPMC5685571 | biostudies-literature
Project description:Building renovations can adversely affect building occupants through the release of biological contaminants, gases and particulates. In this study, the research aim was to monitor the air quality of a renovated building and assess the impact of sick building syndrome (SBS) on the occupants. Post occupancy monitoring of the building was carried out after two months occupancy for the following environmental parameters: airborne microflora using an air sampler (SAS super 180) and a hand-held monitoring device (Graywolf advance sense IQ-610) to measure total volatile organic compounds (TVOC), CO2, CO and temperature and relative humidity in each office environment. In addition, an online (Qualtrics) structured questionnaire was used to assess occupants' perceptions of the indoor environment. Results of the airborne flora showed 833 cfu/m3 recovered on a Malt Extract Agar (MEA) plate in the morning and 1213 cfu/m3 in the afternoon. A similar result was noticed on a Plate Count Agar (PCA) plate during the morning period (731 cfu/m3) and afternoon (1358 cfu/m3). Results of TVOC monitored over one week showed that the first two days of monitoring had a high reading that peaked at 10,837 ppb and that the CO2 concentration during that period was 1163 ppm. Online questionnaire analysis indicates that a majority of the staff who took part in the survey experienced some form of health abnormality, including headache, shortness of breath, itchy eyes/ears, loss of concentration and so on, especially in the first few weeks of returning to the office. The results from the study indicate that a large proportion (41%) of the respondents experienced thermal discomfort as a result of varying room temperature during their working hours. A high number of female participants experienced some form of SBS as compared to their male counterparts. The study findings show a direct relationship between high airborne mold counts, TVOC and adverse staff health perception of the building. The study raised a number of opportunities for estate managers to improve building performance based on occupants' preferences.
| S-EPMC7143121 | biostudies-literature
Project description:Randomization is an effective design option to prevent bias from confounding in the evaluation of the causal effect of interventions on outcomes. However, in some cases, randomization is not possible, making subsequent adjustment for confounders essential to obtain valid results. Several methods exist to adjust for confounding, with multivariable modeling being among the most widely used. The main challenge is to determine which variables should be included in the causal model and to specify appropriate functional relations for continuous variables in the model. While the statistical literature gives a variety of recommendations on how to build multivariable regression models in practice, this guidance is often unknown to applied researchers. We set out to investigate the current practice of explanatory regression modeling to control confounding in the field of cardiac rehabilitation, for which mainly non-randomized observational studies are available. In particular, we conducted a systematic methods review to identify and compare statistical methodology with respect to statistical model building in the context of the existing recent systematic review CROS-II, which evaluated the prognostic effect of cardiac rehabilitation. CROS-II identified 28 observational studies, which were published between 2004 and 2018. Our methods review revealed that 24 (86%) of the included studies used methods to adjust for confounding. Of these, 11 (46%) mentioned how the variables were selected and two studies (8%) considered functional forms for continuous variables. The use of background knowledge for variable selection was barely reported and data-driven variable selection methods were applied frequently. We conclude that in the majority of studies, the methods used to develop models to investigate the effect of cardiac rehabilitation on outcomes do not meet common criteria for appropriate statistical model building and that reporting often lacks precision.
| S-EPMC9968189 | biostudies-literature
Project description:Introduction:Social media (SM) usage has increased markedly among young adults. It is linked to poor sleep quality (PSQ), a risk factor for mental and physical health concerns. This study identified the determinants of PSQ in SM users among freshman college students. Material and Methods:A cross-sectional design was used and 842 students completed a self-administered questionnaire. Analyses were performed using the ? 2 test to examine differences in the characteristics of poor and good sleepers and logistic regression to estimate the risk of PSQ with reference to SM usage patterns. Results:Around 75.40% (n = 635) of the participants had PSQ. There was a significant difference in the PSQ rate between males (66.3%) and females (79.3%, p < 0.001), those who were physically active (67.2%) and those who were not (82.4%, p < 0.001), those who were mentally depressed (86.5%) and those who were not (61.5%, p < 0.001), and those with anxiety (87.8%) and those without (64.3%, p < 0.001). The risk of PSQ was lower among students who used SM for education (OR = 0.65, CI = 0.42 to 0.99, p = 0.048), had higher laptop usage (OR = 0.67, CI = 0.47 to 0.96, p = 0.03), and had higher SM usage during daytime (OR = 0.46, CI = 0.32 to 0.67, p < 0.001). The risk of PSQ was higher among those who reported SM usage at bedtime (OR = 1.69, CI = 1.01 to 2.81, p = 0.046). Discussion:Among SM users, PSQ was related to sociodemographic features, lifestyle characteristics, and health-risk factors. Further research is required to confirm these findings.
| S-EPMC7237109 | biostudies-literature
Project description:ContextContinuous quality improvement (CQI) has become prominent in public health settings; yet, little consolidated guidance exists for building CQI capacity of community-based organizations.ObjectiveTo synthesize relevant literature to identify guiding principles and core components critical to building the capacity of organizations to adopt and use CQI.DesignWe employed a systematic review approach to assess guiding principles and core components for CQI capacity-building as outlined in the literature.Eligibility criteriaStudies meeting the following criteria were eligible for review: (1) empirical, peer-reviewed journal article, evaluation study, review, or systematic review; (2) published in 2010 or later; and (3) capacity-building activities were described in enough detail to be replicable. Studies not including human subjects, published in a language other than English, or for which full text was not available were excluded.Study selectionThe initial return of records included 6557 articles, of which 1455 were duplicates. The research team single-screened titles and abstracts of 5102 studies, resulting in the exclusion of 4842 studies. Two hundred sixty-two studies were double-screened during full-text review, yielding a final sample of 61 studies from which data were extracted.Main outcome measuresOutcome measures of interest were operationalized descriptions of guiding principles and core components of the CQI capacity-building approach.ResultsResults yielded articles from medical education, health care, and public health settings. Findings included guiding principles and core components of CQI capacity-building identified in current practice, as well as infrastructural and contextual elements needed to build CQI capacity.ConclusionsThis consolidation of guiding principles and core components for CQI capacity-building is valuable for public health and related workforces. Despite the uneven distribution of articles from health care, medical education, and public health settings, our findings can be used to guide public health organizations in building CQI capacity in a well-informed, systematic manner.
| S-EPMC8781219 | biostudies-literature
Project description:Iceland is sparsely populated but social justice and equity has been emphasised within healthcare. The aim of the study is to examine healthcare services in Fjallabyggð, in rural northern Iceland, from users' perspective and evaluate social justice, access and quality of healthcare in an age of austerity. Mixed-method approach with transformative design was used. First, data were collected with questionnaires (response rate of 53% [N=732] in 2009 and 30% [N=415] in 2012), and analysed statistically, followed by 10 interviews with healthcare users (2009 and 2014). The results were integrated and interpreted within Bronfenbrenner's Ecological Model. There was significantly less satisfaction with accessibility and variety of healthcare services in 2012 after services downsizing. Solid primary healthcare, good local elderly care, some freedom in healthcare choice and reliable emergency services were considered fundamental for life in a rural area. Equal access to healthcare is part of a fundamental human right. In times of economic downturn, people in rural areas, who are already vulnerable, may become even more vulnerable and disadvantaged, seriously threatening social justice and equity. With severe cutbacks in vitally important healthcare services people may eventually choose to self-migrate.
| S-EPMC5549823 | biostudies-other
Project description:BackgroundThere are several social cognitive theories (SCTs) and models that support platform design in electronic health (eHealth) promotion trials. The rationale for this scoping review was to determine how social design features (informational aid, expressive support, gaming, and tailored content) are used to promote self-efficacy, engagement, knowledge, and behavior change.ObjectiveThis study aimed to review a broad spectrum of digital health interventions in the literature seeking trials that use SCTs for the design of eHealth applications.MethodsThe author conducted a systematic scoping review of 161 Web-based health interventions from published randomized clinical trials using 1 or more tools to address the social cognitive determinants in their website design from January 2006 to April 2016. An iterative approach was used in the selection of studies and data extraction. The studies were analyzed for quality and coded for type of social design features employed.ResultsExpressive interaction tools were found in 48.6% (54/111) of studies categorized as a strong recommendation by the Joanna Briggs Institute criteria. Overall, less than half of the studies addressed participant social support and motivational needs (43.8%). The vast majority of studies (100%) relied on the use of the Web for delivery of informational aid and tailored content for the individual participant (75.9%).ConclusionsThis review fills a research gap by linking social theory to Web strategy to improve the impact and sustainability of eHealth interventions. A Digital Health Intervention Model was developed to provide a framework to enhance future Web-based health intervention design and execution.
| S-EPMC6676794 | biostudies-literature
Project description:BackgroundHealth organisations and stakeholders use social media for a range of functions, including engaging stakeholders in the design and quality improvement (QI) of services. Social media may help overcome some of the limitations of traditional stakeholder engagement methods. This scoping review explores the benefits, risks, barriers and enablers for using social media as a tool for stakeholder engagement in health service design and QI.MethodsThe searches were conducted on 16 August 2022. Inclusion criteria were: studies of any health service stakeholders, in any health setting, where social media was used as a tool for service design or QI. Data was analysed using deductive content analysis. A committee of stakeholders provided input on research questions, data analysis and key findings.Results61 studies were included. Benefits included improved organisational communication and relationship building. Risks/limitations included low quality of engagement and harms to users. Limited access and familiarity with social media were frequently reported barriers. Making discussions safe and facilitating access were common enablers.ConclusionThe benefits, risks, barriers and enablers identified highlight the complexity of social media as an engagement tool for health service design and QI. Understanding these experiences may help implementers design more effective social media-based engagement activities.
| S-EPMC9690250 | biostudies-literature
Project description:AimsTo analyse the quality of sleep of the Spanish population during the lockdown due to COVID-19.DesignCross-sectional descriptive study using a web based survey design.MethodsPittsburgh Sleep Quality Index questionnaire and sociodemographic, occupational, health and sleep quality variables were used to collect data during the first month of the lockdown period due to COVID-19 (March-April 2020). A snowball sampling was carried out, where participants were asked to disseminate and distribute the questionnaire among their own profiles in social networks.ResultsA representative sample of 5220 participants aged ≥18 years old took part in the study. The global PSQI score was 8.17 points (SD 4.43). A statistical association was found between the global PSQI score and several of the variables collected. Findings show that the quality of sleep was worse among women (p < 0.001), single participants (p 0.02), those working in rotating shifts (p < 0.001), on-site workers (p < 0.001), and people diagnosed with COVID-19 or who had someone in their environment diagnosed with the virus (p < 0.001).ConclusionFindings show that the Spanish population has experienced poor quality of sleep during the lockdown period. Being a woman, working in rotating shifts, having suffered from COVID-19 or having someone close suffering from COVID-19, being unemployed or being affected by a Temporary Redundancy Scheme, as well as spending long hours in bed were associated with poorer sleep quality. On the contrary, being older and sleeping longer hours were associated with a better sleep quality.
| S-EPMC9188780 | biostudies-literature