| Literature DB >> 35351707 |
Jessica Rosman1,2, Jan W Eriksson3, Mats Martinell2,4, Anna Lindholm Olinder3,5, Janeth Leksell3.
Abstract
INTRODUCTION: The prevalence and costs of type 2 diabetes are increasing worldwide. A cornerstone in the treatment and care of diabetes is supporting each patient in self-management. In Sweden, most patients with type 2 diabetes are cared for in the primary care setting, which is heavily burdened. Because of implementation difficulties regarding evidenced-based diabetes self-management education and support in this setting, there is a need for an instrument that is easy to use and implement. We developed an individual care plan based on the self-care deficit nursing theory of Dorothea Orem as an instrument to facilitate more individualised self-care support for patients with type 2 diabetes. In this study, we aim to determine whether a written, theory-based, individual goal-based plan for patients with type 2 diabetes and self-management deficits can affect their glycaemic control and health-related quality of life, as well as their experiences of living with diabetes and of support from diabetes care. METHODS AND ANALYSIS: The study design is a randomised controlled trial using a quantitative approach. A total of 110 patients will be included. Additionally, a qualitative interview study will be conducted 12 months after the intervention. The primary outcome will be glycosylated haemoglobin levels. Secondary outcomes will be health-related quality of life measured using the RAND-36, and the patient's experience of living with diabetes and of the support from diabetes care measured using the Diabetes Questionnaire. Quantitative data will be analysed using the paired t-test, unpaired t-test, and Mann-Whitney U test with IBM SPSS V.26.0 software. Qualitative content analysis will be used for qualitative data. ETHICS AND DISSEMINATION: This study has been approved by the Ethical Review Authority in Uppsala, Sweden (Etikprövningsmyndigheten, Uppsala, Sverige) (Dnr: 2020-03421). The results will be disseminated in peer-reviewed publications. TRIAL REGISTRATION NUMBER: ISRCTN10030245. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: DIABETES & ENDOCRINOLOGY; PREVENTIVE MEDICINE; PRIMARY CARE
Mesh:
Year: 2022 PMID: 35351707 PMCID: PMC8966520 DOI: 10.1136/bmjopen-2021-053955
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Interventional trials Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) figure—schedule of enrolment, intervention and assessments
| Study period | ||||
| Enrolment | Allocation | Postallocation | Close-out | |
| Time point | Prerandomisation | During routine visit | 6 months | 12 months |
| Enrolment | ||||
| Eligibility screening | X | |||
| Informed consent | X | |||
| Allocation | X | |||
| Interventions | ||||
| Goal-based plan | X | |||
| Assessments | ||||
| Sociodemographic | X | |||
| Diabetes duration | X | |||
| Treatment regimen | X | |||
| Late complications | X | |||
| HbA1c | X | X | X | |
| Lipids | X | X | X | |
| Blood pressure | X | X | X | |
| RAND-36 | X | X | X | |
| The Diabetes Questionnaire | X | X | X | |
| Qualitative | ||||
| Interviews | X | |||
HbA1c, glycosylated haemoglobin.
Statistical analysis plan
| Sample size | n=110 | |
| Significance level | P<0.05 | |
| Trial objectives | The objectives are to evaluate whether an individual goal-based plan based on nursing theory can affect glycaemic control (HbA1c) and health-related quality of life (RAND-36), as well as the experience of living with diabetes and support from diabetes care (The Diabetes Questionnaire) among adults with type 2 diabetes | |
| Population | Adults with type 2 diabetes within primary care in Region Uppsala (Sweden) | |
| Data sources | National Diabetes Registry (HbA1c) | |
| Timing of outcome assessments | 6 and 12 months | |
| Analysis methods | Parametric statistic: | Unpaired t-test, between groups analysis, paired t-test, within group analysis |
| Non-parametric statistic: | Mann-Whitney U test, between groups analysis | |
| Missing data | Multiple imputation | |
| Statistical software | IBM SPSS V.26.0 software | |