Dataset Information

Beyond forest plots: clinical gestalt and its influence on COPD telemonitoring studies and outcomes review.

ABSTRACT: BACKGROUND:Chronic obstructive pulmonary disease (COPD) is a progressive chronic condition. Improvements in therapies have resulted in better patient outcomes. The use of technology such as telemonitoring as an additional intervention is aimed at enhancing care and reducing unnecessary acute hospital service use. The influence of verbal communication between health staff and patients to inform decision making regarding use of acute hospital services within telemonitoring studies has not been assessed. METHOD:A systematic overview of published systematic reviews of COPD and telemonitoring was conducted using an a priori protocol to ascertain the impact of verbal communication in telemonitoring studies on health service outcomes such as emergency department attendances, hospitalisation and hospital length of stay. The search of the following electronic databases: Cochrane Library, Medline, Pubmed, CINAHL, Embase, TROVE, Australian Digital Thesis and Proquest International Dissertations and Theses was conducted in 2017 and updated in September 2019. RESULTS:Six systematic reviews were identified. All reviews involved home monitoring of COPD symptoms and biometric data. Included reviews reported 5-28 studies with sample sizes ranging from 310 to 2891 participants. Many studies reported in the systematic reviews were excluded as they were telephone support, cost effectiveness studies, and/or did not report the outcomes of interest for this overview. Irrespective of group assignment, verbal communication with the health or research team did not alter the emergency attendance or hospitalisation outcome. The length of stay was longer for those who were assigned home telemonitoring in the majority of studies. CONCLUSION:This overview of telemonitoring for COPD had small sample sizes and a wide variety of included studies. Communication was not consistent in all included studies. Understanding the context of communication with study participants and the decision-making process for referring patients to various health services needs to be reported in future studies of telemonitoring and COPD.

SUBMITTER: Smith SM

PROVIDER: S-EPMC6937085 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Beyond forest plots: clinical gestalt and its influence on COPD telemonitoring studies and outcomes review.

Smith Sheree M SM Holland Anne E AE McDonald Christine F CF

BMJ open 20191218 12

<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) is a progressive chronic condition. Improvements in therapies have resulted in better patient outcomes. The use of technology such as telemonitoring as an additional intervention is aimed at enhancing care and reducing unnecessary acute hospital service use. The influence of verbal communication between health staff and patients to inform decision making regarding use of acute hospital services within telemonitoring studies has not ...[more]

PMID: 31857301

Similar Datasets

Project description:BackgroundThe purpose of this study was to explore the association between perceived social support and COPD outcomes and to determine whether the associations are mediated by depressive symptoms.MethodsSubjects with COPD who were enrolled as part of SPIROMICS were included in this analysis. Questionnaires relating to quality of life, symptom burden, and functional status were administered at annual clinic visits for over a 3 year period. In both cross-sectional and longitudinal analyses, we examined the association of social support as measured by the FACIT-F with COPD outcomes. Cross sectional analyses used multivariable linear or logistic regression, adjusting for covariates. For longitudinal analyses, generalized linear mixed models with random intercepts were used. Models were adjusted with and without depressive symptoms and mediation analyses performed.ResultsOf the 1831 subjects with COPD, 1779 completed the FACIT- F questionnaire. In adjusted cross-sectional analysis without depressive symptoms, higher perceived social support was associated with better quality of life, well-being, 6 minute walk distance, and less dyspnea. When also adjusting for depressive symptoms, all associations between social support and COPD outcomes were attenuated and no longer statistically significant. Mediation analysis suggested that depressive symptoms explained the majority (> = 85%) of the association between social support and measured COPD outcomes. Results of the longitudinal analysis were consistent with the cross-sectional analyses. There was no association between social support and odds of exacerbations.ConclusionHigher social support was associated with better COPD outcomes across several measures of morbidity including quality of life, respiratory symptoms, and functional status. In addition, these associations were largely attenuated when accounting for depressive symptoms suggesting that the beneficial association of social support with COPD outcomes may be largely mediated by the association between social support and depression.Trial registrationSPIROMICS was approved by Institutional Review Boards at each center and all participants provided written informed consent (clinicaltrials.gov: NCT01969344).

Project description:AimThe accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset.LocationTropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1.MethodsTwo recent pantropical RS maps of vegetation carbon are compared to a unique ground-plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area-based comparisons.ResultsThe two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north-east, to the light-wooded, shorter forests of the south-west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over- or under-estimated by > 25%, whereas regional uncertainties for the maps were reported to be < 5%.Main conclusionsPantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space.

Dataset Information

Beyond forest plots: clinical gestalt and its influence on COPD telemonitoring studies and outcomes review.

Publications

Beyond forest plots: clinical gestalt and its influence on COPD telemonitoring studies and outcomes review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets