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Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.

ABSTRACT: Understanding transmission routes of hospital-acquired infections (HAI) is key to improve their control. In this context, describing and analyzing dynamic inter-individual contact patterns in hospitals is essential. In this study, we used wearable sensors to detect Close Proximity Interactions (CPIs) among patients and hospital staff in a 200-bed long-term care facility over 4 months. First, the dynamic CPI data was described in terms of contact frequency and duration per individual status or activity and per ward. Second, we investigated the individual factors associated with high contact frequency or duration using generalized linear mixed-effect models to account for inter-ward heterogeneity. Hospital porters and physicians had the highest daily number of distinct contacts, making them more likely to disseminate HAI among individuals. Conversely, contact duration was highest between patients, with potential implications in terms of HAI acquisition risk. Contact patterns differed among hospital wards, reflecting varying care patterns depending on reason for hospitalization, with more frequent contacts in neurologic wards and fewer, longer contacts in geriatric wards. This study is the first to report proximity-sensing data informing on inter-individual contacts in long-term care settings. Our results should help better understand HAI spread, parameterize future mathematical models, and propose efficient control strategies.

SUBMITTER: Duval A

PROVIDER: S-EPMC5786108 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.

Duval Audrey A Obadia Thomas T Martinet Lucie L Boëlle Pierre-Yves PY Fleury Eric E Guillemot Didier D Opatowski Lulla L Temime Laura L

Scientific reports 20180126 1

Understanding transmission routes of hospital-acquired infections (HAI) is key to improve their control. In this context, describing and analyzing dynamic inter-individual contact patterns in hospitals is essential. In this study, we used wearable sensors to detect Close Proximity Interactions (CPIs) among patients and hospital staff in a 200-bed long-term care facility over 4 months. First, the dynamic CPI data was described in terms of contact frequency and duration per individual status or ac ...[more]

PMID: 29374222

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Project description:ObjectiveThis study aimed to develop the Motivation in stroke patients for rehabilitation scale (MORE scale), following the Consensus-based standards for the selection of health measurement instruments (COSMIN).MethodStudy participants included rehabilitation professionals working at the convalescent rehabilitation hospital and stroke patients admitted to the hospital. The original MORE scale was developed from an item pool, which was created through discussions of nine rehabilitation professionals. After the content validity of the scale was verified using the Delphi method with 61 rehabilitation professionals and 22 stroke patients, the scale's validity and reliability were examined for 201 stroke patients. The construct validity of the scale was investigated using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and item response theory analysis. Cronbach's alpha confirmed its internal consistency. Regarding convergent, discriminant, and criterion validity, Spearman's rho was calculated between the MORE scale and the Apathy Scale (AS), Self-rating Depression Scale (SDS), and Visual Analogue Scale (VAS), which rates the subjective feelings of motivation.ResultsUsing the Delphi method, 17 items were incorporated into the MORE scale. According to EFA and CFA, a one-factor model was suggested. All MORE scale items demonstrated satisfactory item response, with item slopes ranging from 0.811 to 2.142, and item difficulty parameters ranging from -3.203 to 0.522. Cronbach's alpha was 0.948. Regarding test-retest reliability, a moderate correlation was found between scores at the beginning and one month after hospitalization (rho = 0.612. p < 0.001). The MORE scale showed significant correlation with AS (rho = -0.536, p < 0.001), SDS (rho = -0.347, p < 0.001), and VAS (rho = 0.536, p < 0.001), confirming the convergent, discriminant, and criterion validity, respectively.ConclusionsThe MORE scale was verified as a valid and reliable scale for evaluating stroke patients' motivation for rehabilitation.

Project description:Patient experience plays an essential role in improving clinical effectiveness and patient safety. It's important to identify factors influencing patient experience and to improve quality of healthcare. To identify factors that influence patient experience in hospital wards. We conducted a systematic review including six databases; they were PubMed, CINAHL, Embase, PsycInfo, ProQuest, and Cochrane. Studies were included if they met the inclusion criteria. The JBI checklist was used to perform quality appraisal. We used 5 domains of the ecological model to organize and synthesize our findings to comprehensively understand the multi-level factors influencing the issue. A total of 138 studies were included, and 164 factors were identified. These factors were integrated into 6 domains. All domains but one (survey-related factors) could be mapped onto the attributes of the ecological framework: intrapersonal, interpersonal, institutional, community, and public policy level factors. All factors had mixed effect on patient experience. The intrapersonal level refers to individual characteristics of patients. The interpersonal level refers to interactions between patients and healthcare providers, such as the caring time spent by a nurse. The institutional level refers to organizational characteristics, rules and regulations for operations, such as hospital size and accreditation. The community level refers to relationships among organizations, institutions, and informational networks within defined boundaries, such as a hospital located in a larger population area. Public policy level refers to local, state, national, and global laws and policies, including health insurance policies. The sixth domain, survey-related factors, was added to the framework and included factors such as survey response rate and survey response time. The factors influencing patient experience are comprehensive, ranging from intrapersonal to public policy. Providers should adopt a holistic and integrated perspective to assess patient experience and develop context-specific interventions to improve the quality of care. PROSPERO REGISTRATION NUMBER CRD42023401066.

Project description:BackgroundTherapeutic staff-patient interaction is fundamental in psychiatric care. It is recognized as a key to healing in and of itself, or a premise to enhance psychiatric treatment adherence. Still, little is known about how these interactions are recorded in nursing documentation. The purpose of the study was to assess the quality and quantity of staff-patient interactions as recorded in progress notes in nursing documentation.MethodsThe study has an observational registry study design. A random sample of 3858 excerpts was selected from progress notes in 90 patient journals on an acute psychiatric unit and an open inpatient district psychiatric centre (DPC) in Norway. The Scale for the Evaluation of Staff-Patient Interactions in progress notes (SESPI) was used to assess the progress note excerpts. It is developed to assess the quality and quantity in excerpt descriptions of staff-patient interactions in terms of empathic attunement. Descriptive statistics were calculated for the total sample and for each ward separately. Ordinal and multinomial logistic regression were used to estimate control for shift type, staff education level, and type of hospital ward.ResultsOnly 7.6% of the total number of excerpts (N = 3858) described staff-patient interactions sufficiently to analyze them in terms of attunement. Compared to the DPC, the acute ward reported more staff-patient interactions. The evening excerpts reported more successful types of attunement than those from the night shifts. Education level did not contribute significantly to our models.ConclusionThese findings present a unique insight into the quality and quantity of mental health nursing documentation regarding staff-patient interactions. Therapeutic interactions where staff tried to attune to the patients were rarely described. However, this is the first study measuring nursing documentation with the SESPI, and more studies are required to validate the scale and our findings. One potential clinical implication of this research is the development of a scale that personnel in psychiatric wards can have for evaluation of the quality of their reporting practice with emphasis on staff-patient interactions. By regular use this may help keeping up emphasis on emphatic attunement in milieu treatment contexts.

Project description:BackgroundPatients have the potential to provide feedback on the safety of their care. Recently, tools have been developed that ask patients to provide feedback on those factors that are known to contribute to safety, therefore providing information that can be used proactively to manage safety in hospitals. The aim of this study was to investigate whether the safety information provided by patients is different from that provided by staff and whether it is related to safety outcomes.MethodData were collected from 33 hospital wards across 3 acute hospital Trusts in the UK. Staff on these wards were asked to complete the four outcome measures of the Hospital Survey of Patient Safety Culture, while patients were asked to complete the Patient Measure of Safety and the friends and family test. We also collated publicly reported safety outcome data for 'harm-free care' on each ward. This patient safety thermometer measure is used in the UK NHS to record the percentage of patients on a single day of each month on every ward who have received harm-free care (ie, no pressure ulcers, falls, urinary tract infections and hospital acquired new venous thromboembolisms). These data were used to address questions about the relationship between measures and the extent to which patient and staff perceptions of safety predict safety outcomes.ResultsThe friends and family test, a single item measure of patient experience was associated with patients' perceptions of safety, but was not associated with safety outcomes. Staff responses to the patient safety culture survey were not significantly correlated with patient responses to the patient measure of safety, but both independently predicted safety outcomes. The regression models showed that staff perceptions (adjusted r(2)=0.39) and patient perceptions (adjusted r(2)=0.30) of safety independently predicted safety outcomes. When entered together both measures accounted for 49% of the variance in safety outcomes (adjusted r(2)=0.49), suggesting that there is overlap but some unique variance is also explained by these two measures. Based on responses to the Patient Measure of Safety it was also possible to identify differences between the acute Hospital Trusts.DiscussionThe findings suggest that although the views of patients and staff predict some overlapping variance in patient safety outcomes, both also offer a unique perspective on patient safety, contributing independently to the prediction of safety outcomes. These findings suggest that feedback from patients about the safety of the care that they receive can be used, in addition to data from staff to drive safety improvements in healthcare.Trial registration numberISRCTN07689702.

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Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.

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Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics.

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