Predictors of 15-year survival among Australian women with diabetes from age 76–81

Wubishet, Befikadu Legesse; Forder, Peta; Acharya, Shamasunder; Byles, Julie

doi:10.1016/j.diabres.2019.02.016

Cited by 3 publications

(8 citation statements)

References 29 publications

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“…However, there were 15 articles (12.7%) using data linked by two organizations. The Western Australian Data Linkage System (WADLS) performed data linkage for nearly half of the included articles ( n = 53; 44.9%) ( 19 – 21 , 24 – 32 , 34 , 35 , 37 , 39 – 61 , 63 – 71 , 84 , 85 , 87 – 90 ), 34 articles (28.8%) used data linked by other linkage units belonging to the PHRN network ( 73 – 76 , 79 – 81 , 86 , 91 – 101 , 104 , 105 , 107 – 114 , 126 , 127 , 129 – 131 ), and only four articles (3.7%) used data linked by non-PHRN units ( 33 , 103 , 106 , 135 ). More importantly, whether the linkages were carried out by an organization or researchers themselves, the name of the organization performing the linkage was not explicitly reported in 26 articles (22.0%) ( 22 , 23 , 36 , 38 , 62 , 72 , 77 , 78 , 82 , 83 , 102 , 115 – 125 , 128 , 132 , 134 , 136 ).…”

Section: Resultsmentioning

confidence: 99%

“…The methods of linkage were not provided in most of the included studies ( n = 78; 66.1%) ( 19 – 21 , 23 – 35 , 37 , 38 , 40 – 47 , 49 , 51 , 52 , 54 – 59 , 61 , 63 – 65 , 68 – 71 , 75 , 79 , 81 – 83 , 85 – 91 , 93 , 94 , 96 – 98 , 101 , 102 , 104 , 106 , 107 , 112 , 113 , 116 , 118 , 120 – 122 , 124 , 125 , 127 , 128 , 133 – 135 ). The probabilistic method was predominantly used in the remaining studies ( n = 31; 26.3%) ( 22 , 36 , 39 , 48 , 50 , 53 , 60 , 62 , 66 , 67 , 72 – 74 , 76 , 77 , 80 , 92 , 99 , 100 , 103 , 105 , 108 , 117 , …”

Section: Resultsmentioning

confidence: 99%

“…Thirty-five studies (29.7%) used a time frame of 6–10 years ( 23 , 31 , 36 , 37 , 40 , 55 , 59 , 62 , 64 , 69 , 81 , 83 , 91 , 94 , 99 , 103 – 105 , 107 , 109 , 111 , 115 , 116 , 118 , 119 , 121 , 123 – 125 , 127 , 129 , 134 ). The remaining studies adopted even longer time horizons: 11–15 years ( n = 37; 31.4%) ( 20 – 22 , 24 , 25 , 27 , 30 , 32 , 33 , 35 , 49 , 50 , 52 , 54 , 56 , 57 , 67 , 72 – 78 , 80 , 82 , 85 , 86 , 88 , 89 , 93 , 96 , 97 , 101 , 108 , 112 , 114 , 128 , 130 ), and ≥16 years ( n = 33; 28.0%) ( 79 ).…”

Section: Resultsmentioning

confidence: 99%

“…Fourteen articles (11.9%) focused on type 1 diabetes mellitus (T1DM) ( 33 , 45 , 50 , 53 , 55 , 60 , 76 , 107 , 108 , 126 , 130 , 131 , 133 , 134 ) and 10 other articles (8.5%) looked at gestational diabetes (GDM) ( 38 , 102 , 105 , 116 , 118 , 121 , 122 , 129 , 132 , 135 ). However, there was a small number of papers ( n = 6; 5.1%) that did not specify the type of diabetes covered ( 79 , 82 , 83 , 95 , 112 , 119 ).…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia

Dinh

Cox

Graaff

et al. 2022

Front. Public Health

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AimsOur study aimed to identify the common themes, knowledge gaps and to evaluate the quality of data linkage research on diabetes in Australia.MethodsThis systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement). Six biomedical databases and the Australian Population Health Research Network (PHRN) website were searched. A narrative synthesis was conducted to comprehensively identify the common themes and knowledge gaps. The guidelines for studies involving data linkage were used to appraise methodological quality of included studies.ResultsAfter screening and hand-searching, 118 studies were included in the final analysis. Data linkage publications confirmed negative health outcomes in people with diabetes, reported risk factors for diabetes and its complications, and found an inverse association between primary care use and hospitalization. Linked data were used to validate data sources and diabetes instruments. There were limited publications investigating healthcare expenditure and adverse drug reactions (ADRs) in people with diabetes. Regarding methodological assessment, important information about the linkage performed was under-reported in included studies.ConclusionsIn the future, more up to date data linkage research addressing costs of diabetes and its complications in a contemporary Australian setting, as well as research assessing ADRs of recently approved antidiabetic medications, are required.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia

Dinh

Cox

Graaff

et al. 2022

Front. Public Health

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“…Patient-centred care has also been shown to result in reduced HbA1c, improved self-care behaviours (such as adherence to medications, diet exercise, glucose monitoring and foot care) and improve quality of life (Williams et al, 2016). Improvement in such indicators is critical to reducing microvascular and macrovascular complications of diabetes which is responsible for reduced life expectancy among this population (Wubishet et al, 2019). Through case conferencing, patients were able to extend their understanding of their diabetes and appropriate self-management through non-pharmacological factors as well as adjusting insulin therapy.…”

Section: Discussionmentioning

confidence: 99%

“They were all together … discussing the best options for me”: Integrating specialist diabetes care with primary care in Australia

Kuzulugil

Parsons

Byles

et al. 2020

Health Soc Care Community

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Over one-third of diabetes-related encounters with healthcare providers in Australia fail to meet clinical guidelines. Evidence is mounting that care provision within an integrated framework may facilitate greater adherence to clinical guidelines and improved outcomes for patients. The Diabetes Alliance Program was implemented across a large healthcare district to enhance diabetes care capacity at the primary care level through intensive case-conferencing involving the primary care team, patients and visiting specialist team, whole practice performance review and regular diabetes education for practitioners. Here, we provide an in-depth patient assessment of the case-conferencing process and impact on diabetes management. Two practices with high pre-intervention HbA1c monitoring and three practices with low HbA1c monitoring provided the sampling frame. Patients were selected according to their score on the Patient Activation Measure TM to achieve maximum variation, with up to two patients with high scores and three with low scores, selected from each practice. Patients were sampled until data saturation was achieved and then subjected to thematic content analysis (n = 19). Patients mostly described the model of care as a positive experience, reporting a boost in confidence in diabetes self-management (particularly around nutrition). The program was also seen to be helpful in providing an opportunity to refocus when "life gets in the way". Other valued aspects of the program included the holistic approach to healthcare, reduced travel time, familiarity in environment and clinical care, top-down knowledge transfer as well as mutual learning by the patient and their primary care team. Despite this, difficulties in coping with diabetes and adherence to treatment recommendations remained for a minority of patients. Integrating specialist teams within primary care has the ability to provide efficient healthcare delivery, better patient experience and health outcomes.Investment in such approaches will be critical to navigating healthcare provision in order to meet the demands of an ageing population.

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Impact of Diabetes on Life and Healthy Life Expectancy Among Older Women

Wubishet

Byles

Harris

et al. 2020

The Journals of Gerontology: Series A

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Abstract Background Diabetes is a major chronic condition with ever-increasing health and economic burden. This study aimed to measure the impact of diabetes on total life expectancy (TLE) and healthy life expectancy (HLE) at ages 70 and 80 and to assess how educational level, obesity, and comorbidity affected the expectancies. Methods The study involved 9849 population-representative women born between 1921 and 1926 from The Australian Longitudinal Study on Women’s Health (ALSWH). Self-rated health was obtained from the ALSWH surveys. Diabetes diagnosis was ascertained using survey and healthcare administrative data. TLE and HLE were estimated for women with and without diabetes using multistate modelling. Results Diabetes was associated with increased risk of poor health (Adjusted risk ratio, ARR: 1.63, 95% confidence interval [CI]: 1.49–1.79). Diabetes was also associated with a reduction of 0.9 years in HLE and 2.6 years in TLE at age 70; and 0.4 years in HLE and 1.3 years in TLE at age 80. If a woman had low education, obesity, and more than two comorbidities in addition to diabetes, these reductions increased to 3.0 years in TLE and 7.9 years in HLE at age 70; and 1.5 years in TLE and 3.8 years in HLE at age 80. Conclusions Diabetes substantially reduced older women’s quantity and quality of life, with further reductions for those with lower education, obesity, and comorbidities. These findings underscore the importance of optimally managing diabetes by maintaining healthy weight and delaying onset of comorbidities, to promote healthy aging for older women with diabetes.

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Predictors of 15-year survival among Australian women with diabetes from age 76–81

Cited by 3 publications

References 29 publications

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia

“They were all together … discussing the best options for me”: Integrating specialist diabetes care with primary care in Australia

Impact of Diabetes on Life and Healthy Life Expectancy Among Older Women

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