Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/32828
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dc.contributor.authorHolmes-Truscott, Elizabeth-
dc.contributor.authorBaptista, Shaira-
dc.contributor.authorLing, Mathew-
dc.contributor.authorCollins, Eileen-
dc.contributor.authorEkinci, EIif I-
dc.contributor.authorFurler, John-
dc.contributor.authorHagger, Virginia-
dc.contributor.authorManski-Nankervis, Jo-Anne-
dc.contributor.authorWells, Caroline-
dc.contributor.authorSpeight, Jane-
dc.date2023-
dc.date.accessioned2023-05-12T02:59:43Z-
dc.date.available2023-05-12T02:59:43Z-
dc.date.issued2023-
dc.identifier.citationFrontiers in Clinical Diabetes and Healthcare 2023; 4en_US
dc.identifier.issn2673-6616-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/32828-
dc.description.abstractSelf-monitoring of blood glucose (SMBG) is considered of little clinical benefit for adults with non-insulin-treated type 2 diabetes, but no comprehensive review of a structured approach to SMBG has been published to date. To conduct a systematic review and meta-analysis of the impact of sSMBG on HbA1c, treatment modifications, behavioral and psychosocial outcomes, and; examine the moderating effects of sSMBG protocol characteristics on HbA1c. Four databases searched (November 2020; updated: February 2022). Inclusion criteria: non-randomized and randomized controlled trials (RCTs) and prospective observational studies; reporting effect of sSMBG on stated outcomes; among adults (≥18 years) with non-insulin-treated type 2 diabetes. Studies excluded if involving children or people with insulin-treated or other forms of diabetes. Outcome data extracted, and risk of bias/quality assessed independently by two researchers. Meta-analysis was conducted for RCTs, and moderators explored (HbA1c only). From 2,078 abstracts, k=23 studies were included (N=5,372). Risk of bias was evident and study quality was low. Outcomes assessed included: HbA1c (k=23), treatment modification (k=16), psychosocial/behavioral outcomes (k=12). Meta-analysis revealed a significant mean difference favoring sSMBG in HbA1c (-0·29%, 95% CI: -0·46 to -0·11, k=13) and diabetes self-efficacy (0.17%, 95% CI: 0.01 to 0.33, k=2). Meta-analysis revealed no significant moderating effects by protocol characteristics. Findings limited by heterogeneity in study designs, intervention characteristics, and psychosocial assessments. A small positive effect of sSMBG on HbA1c and diabetes self-efficacy was observed. Narrative synthesis of sSMBG intervention characteristics may guide future implementation. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020208857, identifier CRD42020208857.en_US
dc.language.isoeng-
dc.subjectHbA1cen_US
dc.subjectbehavioral outcomesen_US
dc.subjectmeta-analysisen_US
dc.subjectpsychological outcomeen_US
dc.subjectself-monitor of blood glucose (SMBG)en_US
dc.subjectstructured self-monitoring of blood glucoseen_US
dc.subjectsystematic reviewen_US
dc.subjecttype 2 diabetesen_US
dc.titleThe impact of structured self-monitoring of blood glucose on clinical, behavioral, and psychosocial outcomes among adults with non-insulin-treated type 2 diabetes: a systematic review and meta-analysis.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleFrontiers in Clinical Diabetes and Healthcareen_US
dc.identifier.affiliationSchool of Psychology, Deakin University, Geelong, VIC, Australia.en_US
dc.identifier.affiliationSchool of Psychology, Deakin University, Geelong, VIC, Australia.en_US
dc.identifier.affiliationNeami National, Preston, VIC, Australia.en_US
dc.identifier.affiliationDiabetes Victoria, Melbourne, VIC, Australia.en_US
dc.identifier.affiliationMedicine (University of Melbourne)en_US
dc.identifier.affiliationDepartment of General Practice, The University of Melbourne, Melbourne, VIC, Australia.en_US
dc.identifier.affiliationThe Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia.;School of Nursing and Midwifery, Faculty of Health, Deakin University, Burwood, VIC, Australia.en_US
dc.identifier.affiliationThe Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, VIC, Australia.;Department of General Practice, The University of Melbourne, Melbourne, VIC, Australia.en_US
dc.identifier.affiliationDiabetes Tasmania, Hobart, TAS, Australia.en_US
dc.identifier.affiliationSchool of Psychology, Deakin University, Geelong, VIC, Australia.;The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia.en_US
dc.identifier.doi10.3389/fcdhc.2023.1177030en_US
dc.type.contentTexten_US
dc.identifier.pubmedid37153750-
dc.description.volume4-
dc.description.startpage1177030-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
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