Improving Hypertension Control in Diabetes

Lindsay, Mark E.; Hovan, Michael J.; Deming, James R.; Hunt, Vicki L.; Witwer, Stephanie G.; Fedraw, Leslie A.; Sayre, Jerry W.; Matthews, Marc R.; Halling, Valerie W.; Graber, Robert C.; Martin, Rachel L.; Wright, Jacqueline C.; Myers, Jane F.; Plate, Reinold H.; Hruska, Sonja M.; Huttar, Kathy A.; Pachuta, Linda S.; Resar, Roger K.; Edwards, Frederick D.; Chang, Yu Hui; Swensen, Stephen J.

doi:10.1177/1062860612469683

Cited by 4 publications

(1 citation statement)

References 24 publications

(29 reference statements)

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“…Three randomised trials and one cluster-randomised trial were at high risk of bias [ 50 – 52 , 54 ], and one study was unclear for risk of bias due to poor reporting [ 49 ]. Two of the controlled before-after studies were assessed as having a low risk of bias [ 75 , 83 ], eight were assessed to be at a moderate risk of bias [ 55 , 58 , 66 , 69 , 72 , 76 , 84 ], 15 were assessed to be at a serious risk of bias [ 56 , 57 , 59 – 65 , 67 , 68 , 71 , 74 , 78 , 85 ] and seven were assessed to be at a critical risk of bias [ 70 , 73 , 77 , 80 , 81 ].…”

Section: Resultsmentioning

confidence: 99%

The effects of care bundles on patient outcomes: a systematic review and meta-analysis

et al. 2017

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BackgroundCare bundles are a set of three to five evidence-informed practices performed collectively and reliably to improve the quality of care. Care bundles are used widely across healthcare settings with the aim of preventing and managing different health conditions. This is the first systematic review designed to determine the effects of care bundles on patient outcomes and the behaviour of healthcare workers in relation to fidelity with care bundles.MethodsThis systematic review is reported in line with the PRISMA statement for reporting systematic reviews and meta-analyses. A total of 5796 abstracts were retrieved through a systematic search for articles published between January 1, 2001, to February 4, 2017, in the Cochrane Central Register for Controlled Trials, MEDLINE, EMBASE, British Nursing Index, CINAHL, PsychInfo, British Library, Conference Proceeding Citation Index, OpenGrey trials (including cluster-randomised trials) and non-randomised studies (comprising controlled before-after studies, interrupted time series, cohort studies) of care bundles for any health condition and any healthcare settings were considered. Following the removal of duplicated studies, two reviewers independently screen 3134 records. Three authors performed data extraction independently. We compared the care bundles with usual care to evaluate the effects of care bundles on the risk of negative patient outcomes. Random-effect models were used to further explore the effects of subgroups.ResultsIn total, 37 studies (6 randomised trials, 31 controlled before-after studies) were eligible for inclusion. The effect of care bundles on patient outcomes is uncertain. For randomised trial data, the pooled relative risk of negative effects between care bundle and control groups was 0.97 [95% CI 0.71 to 1.34; 2049 participants]. The relative risk of negative patient outcomes from controlled before-after studies favoured the care bundle treated groups (0.66 [95% CI 0.59 to 0.75; 119,178 participants]). However, using GRADE, we assessed the certainty of all of the evidence to be very low (downgraded for risk of bias, inconsistency, indirectness).ConclusionsVery low quality evidence from controlled before-after studies suggests that care bundles may reduce the risk of negative outcomes when compared with usual care. By contrast, the better quality evidence from six randomised trials is more uncertain.Trial registrationPROSPERO, CRD42016033175 Electronic supplementary materialThe online version of this article (10.1186/s13012-017-0670-0) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

The effects of care bundles on patient outcomes: a systematic review and meta-analysis

et al. 2017

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Mayo Post Acute Care Program and Care Continuum

Lindsay

2013

International Series in Operations Research &Amp; Management Science

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Quantifying spatial associations between effective green spaces and cardiovascular and cerebrovascular diseases by applying volunteered geo-referenced data

Cao

Guo

et al. 2022

Environ. Res. Lett.

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Among the top public health risks, cardiovascular and cerebrovascular diseases cause more than 1 million deaths annually globally. Urban green spaces are considered have close associations with cardiovascular and cerebrovascular diseases. However, ignoring the spatial heterogeneity of different urban green space types and considering only the configuration or compositions of urban green spaces has resulted in inconsistent and contradictory conclusions. Therefore, by introducing Tencent urban density data, four effective green spaces (EGSs) were categorized. Category 1 EGSs, which exhibit a high increasing of visitors and areas, accounted for the smallest areal percentage (0.81%). Category 2 EGSs, which exhibit a low increasing of visiting and high increasing of areas, accounted for the highest areal percentage (42.51%). Category 3 EGSs, which exhibit a high increasing of visiting and low increasing of areas, accounted for 13.70% of the total EGS areas. Category 4 EGSs, which exhibit a low increasing of visiting and areas, accounted for 3.75% of the total EGS areas. Using a geographically weighted regression model, spatial associations between EGS and cardiovascular and cerebrovascular diseases were quantified. Consequently, these spatial associations varied among EGS types and seasons. EGS configurations (perimeters of vegetation and areas of vegetation) have a more significant association with cardiovascular and cerebrovascular diseases than the composition (NDVI) of EGS. Spatial associations implying stronger relationships were observed in EGS1. The strongest association was found in summer. Enlarge the coverage of evergreen vegetation in all EGS is first considered to enhance the negative association between EGS and chronic diseases. A methodology framework was provided to classify urban green space types using multi-source data. Suggestions for how to plan different urban green spaces for developing sustainable cities have been provided in this study, which offer scientific support to urban managers and planners for effective decision making.

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Improving Hypertension Control in Diabetes

Cited by 4 publications

References 24 publications

The effects of care bundles on patient outcomes: a systematic review and meta-analysis

The effects of care bundles on patient outcomes: a systematic review and meta-analysis

Mayo Post Acute Care Program and Care Continuum

Quantifying spatial associations between effective green spaces and cardiovascular and cerebrovascular diseases by applying volunteered geo-referenced data

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