The Burden of Structured Self-Monitoring of Blood Glucose on Diabetes-Specific Quality of Life and Locus of Control in Patients with Noninsulin-Treated Type 2 Diabetes: The PRISMA Study

Giuseppina T Russo, Marina Scavini, Elena Acmet, Erminio Bonizzoni, Emanuele Bosi, Francesco Giorgino, Antonio Tiengo, Domenico Cucinotta, Giuseppina T Russo, Marina Scavini, Elena Acmet, Erminio Bonizzoni, Emanuele Bosi, Francesco Giorgino, Antonio Tiengo, Domenico Cucinotta

Abstract

Background: To evaluate whether structured self-monitoring of blood glucose (SMBG) is associated with changes in diabetes-specific quality of life (DSQoL) and locus of control (LOC) in patients with noninsulin-treated type 2 diabetes (T2DM).

Study design and methods: In this analysis of the PRISMA (Prospective Randomized Trial on Intensive SMBG Management Added Value in Noninsulin-Treated T2DM Patients) Study psychosocial data, we evaluated the impact of 12 months of structured SMBG on the individual domains of DSQoL and LOC questionnaires, including the role of selected confounders.

Results: The score for Satisfaction, Impact, and Worry domains (DSQoL) improved when compared with baseline, without significant differences between structured SMBG regimen (intervention group, n = 501) and active control group (n = 523). Scores for Internal, Chance, and Powerful Others domains (LOC) improved compared with baseline, with a significant between-group change in Chance (P = 0.0309). For DSQoL domain score, improvements were associated with higher number of SMBG measurements (P = 0.007), older age (P = 0.013), and male sex (P = 0.0133) for Satisfaction and with male sex (P < 0.0001) for Worry. Concerning LOC domain score, improvements were associated with longer diabetes duration (P = 0.0084) and younger age (P < 0.0001) for Chance and total number of SMBG measurements (P = 0.0036) for Internal, with the intervention group close to being significant (P = 0.06).

Conclusions: Our analysis demonstrates that in patients with noninsulin-treated T2DM, structured SMBG is not associated with a deterioration of quality of life and LOC, which is strongly predicted by demographics and diabetes-related variables. These findings should be considered when tailoring educational support to SMBG for these patients.

Trial registration: ClinicalTrials.gov NCT00643474.

Figures

FIG. 1.
FIG. 1.
Standardized estimates (black squares) and 95% CI (horizontal lines) for the predictors of each diabetes-specific quality of life domain score among PRISMA Study participants. *P < 0.02; **P < 0.005. CI, confidence interval.
FIG. 2.
FIG. 2.
Standardized estimates (black squares) and 95% CI (horizontal lines) for the predictors of each locus of control domain score among PRISMA Study participants. *P < 0.01; **P < 0.004.

References

    1. Bosi E, Scavini M, Ceriello A, et al. : Intensive structured self-monitoring of blood glucose and glycemic control in noninsulin-treated type 2 diabetes: the PRISMA randomized trial. Diabetes Care 2013;36:2887–2894
    1. IDF: IDF Guideline on Self-Monitoring of Blood Glucose in Non-insulin Treated Type 2 Diabetes. (accessed on June14, 2015)
    1. Fisher L, Polonsky W, Parkin CG, et al. : The impact of blood glucose monitoring on depression and distress in insulin-naïve patients with type 2 diabetes. Curr Med Res Opin 2011;27:39–46
    1. Franciosi M, Pellegrini F, De Berardis G, et al. : The impact of blood glucose self-monitoring on metabolic control and quality of life in type 2 diabetic patients: an urgent need for better educational strategies. Diabetes Care 2001;24:1870–1877
    1. Hommel E, Olsen B, Battelino T, et al. : Impact of continuous glucose monitoring on quality of life, treatment satisfaction, and use of medical care resources: analyses from the SWITCH study. Acta Diabetol 2014;51:845–851
    1. Scavini M, Bosi E, Ceriello A, et al. : Prospective, randomized trial on intensive SMBG management added value in non-insulin-treated T2DM patients (PRISMA): a study to determine the effect of a structured SMBG intervention. Acta Diabetol 2013;50:663–672
    1. Klonoff DC, Bergenstal R, Blonde L, et al. : Consensus report of the coalition for clinical research-self-monitoring of blood glucose. J Diabetes Sci Technol 2008;2:1030–1053
    1. Parkin CG, Buskirk A, Hinnen DA, Axel-Schweitzer M: Results that matter: structured vs. unstructured self-monitoring of blood glucose in type 2 diabetes: Diabetes Res Clin Pract 2012;97:6–15
    1. Nathan DM, Buse JB, Davidson MB, et al. : Management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy: a consensus statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2006;29:1963–1972
    1. The DCCT Research Group: Reliability and validity of a diabetes quality-of-life measure for the Diabetes Control and Complications Trial (DCCT). Diabetes Care 1988;11:725–732
    1. Trento M, Passera P, Borgo E, et al. : A 5-year randomized controlled study of learning, problem solving ability, and quality of life modifications in people with type 2 diabetes managed by group care. Diabetes Care 2004;27:670–675
    1. Peyrot M, Rubin RR: Structure and correlates of diabetes-specific locus of control. Diabetes Care 1994;17:994–1001
    1. Trento M, Tomelini M, Basile M, et al. : The locus of control in patients with Type 1 and Type 2 diabetes managed by individual and group care. Diabet Med 2008;25:86–90
    1. AMD: Italian Standards for Diabetes Mellitus. 2007. (accessed December30, 2012)
    1. Schnell O, Alawi H, Battelino T, et al. : Self-monitoring of blood glucose in type 2 diabetes: recent studies. J Diabetes Sci Technol 2013;7:478–488
    1. Kempf K, Kruse J, Martin S. ROSSO-in-praxi: a self-monitoring of blood glucose-structured 12-week lifestyle intervention significantly improves glucometabolic control of patients with type 2 diabetes mellitus. Diabetes Technol Ther 2010;12:547–553
    1. Kempf K, Kruse J, Martin S. ROSSO-in-praxi follow-up: long-term effects of self-monitoring of blood glucose on weight, hemoglobin a1c, and quality of life in patients with type 2 diabetes mellitus. Diabetes Technol Ther 2012;14:59–64
    1. Polonsky WH, Fisher L, Schikman CH, et al. : Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study. Diabetes Care 2011;34:262–267
    1. Farmer A, Wade A, Goyder E, et al. : Impact of self-monitoring of blood glucose in the management of patients with non-insulin treated diabetes: open parallel group randomised trial. BMJ 2007;335:132.
    1. Scherbaum WA, Ohmann C, Abholz H, et al. : Effect of the frequency of self-monitoring blood glucose in patients with type 2 diabetes treated with oral antidiabetic drugs—a multi centre randomized controlled trial. PLoS One 2008;3:3087
    1. Durán A, Martín P, Runkle I, et al. : Benefits of self-monitoring blood glucose in the management of new-onset type 2 diabetes mellitus: the St Carlos Study, a prospective randomized clinic-based interventional study with parallel groups. J Diabetes 2010;2:203–211
    1. Franciosi M, Lucisano G, Pellegrini F, et al. : ROSES: role of self-monitoring of blood glucose and intensive education in patients with type 2 diabetes not receiving insulin. A pilot randomized clinical trial. Diabet Med 2011;28:789–796
    1. Clar C, Barnard K, Cummins E, et al. : Self monitoring of blood glucose in type 2 diabetes: systematic review. Health Technol Assess 2010;14:1–140
    1. Khunti K, Gray LJ, Skinner T, et al. : Effectiveness of a diabetes education and self-management programme (DESMOND) for people with newly diagnosed type 2 diabetes mellitus: three year follow-up of a cluster randomized controlled trial in primary care. BMJ 2012;344:e2333.
    1. Muchmore DB, Springer J, Miller M: Self-monitoring of blood glucose in overweight type 2 diabetic patients. Acta Diabetol 1994;31:215–219
    1. Schwedes U, Siebolds M, Mertes G; SMBG Study Group: Meal-related structured self-monitoring of blood glucose: effect on diabetes control in non-insulin-treated type 2 diabetic patients. Diabetes Care 2002;25:1928–1932
    1. Malanda UL, M Bot SD, Kostense PJ, et al. : Effects of self-monitoring of glucose on distress and self-efficacy in people with non-insulin-treated Type 2 diabetes: a randomized controlled trial. Diabet Med 2016;33:537–546
    1. Peyrot M, Rubin RR: Modeling the effect of diabetes education on glycemic control. Diabetes Educ 1994;20:143–148
    1. O'Hea EL, Moon S, Grothe KB, et al. : The interaction of locus of control, self-efficacy, and outcome expectancy in relation to HbA1c in medically underserved individuals with type 2 diabetes J Behav Med 2009;32:106–117
    1. Hernandez-Tejada MA, Lynch CP, Strom JL, Egede LE: Effect of perceived control on quality of life in indigent adults with type 2 diabetes. Diabetes Educ 2012;38:256–262
    1. Mansour-Ghanaei R, Joukar F, Soati F, Khanegha AG: Association between knowledge, locus of control and health belief with self-management, Hb A1c level and number of attendances in type 1 diabetes mellitus patients. Int J Clin Exp Med 2013;6:470–477
    1. Rasekaba TM, Graco M, Risteski C, et al. : Impact of a diabetes disease management program on diabetes control and patient quality of life. Popul Health Manag 2012;15:12–19
    1. Trento M, Panero F, Porta M, et al. : Diabetes-specific variables associated with quality of life changes in young diabetic people: the type 1 diabetes Registry of Turin (Italy). Nutr Metab Cardiovasc Dis 2013;23:1031–1036
    1. Rossi MC, Cristofaro MR, Gentile S, et al. : AMD Annals Study Group: sex disparities in the quality of diabetes care: biological and cultural factors may play a different role for different outcomes: a cross-sectional observational study from the AMD Annals initiative. Diabetes Care 2013;36:3162–3168
    1. Cobo A, Vázquez LA, Reviriego J, Rodríguez-Mañas L. Impact of frailty in older patients with diabetes mellitus: an overview. Endocrinol Nutr 2016. [Epub ahead of print]; DOI: 10.1016/j.endonu.2016.01.004
    1. Lipska KJ, Krumholz H, Soones T, Lee SJ: Polypharmacy in the aging patient: a review of glycemic control in older adults with type 2 diabetes. JAMA 2016;315:1034–1045
    1. Rolnick SJ, Pawloski PA, Hedblom BD, et al. : Patient characteristics associated with medication adherence. Clin Med Res 2013;11:54–65
    1. Guenette L, Moisan J, Breton M-C, et al. : Difficulty adhering to antidiabetic treatment: factors associated with persistence and compliance. Diabetes Metab 2013;39:250–257
    1. Rodriguez F, Cannon CP, Steg PG, et al. : Predictors of long-term adherence to evidence-based cardiovascular disease medications in outpatients with stable atherothrombotic disease: findings from the REACH Registry. Clin Cardiol 2013;36:721–727
    1. Kirkman MS, Rowan-Martin MT, Levin R, et al. : Determinants of adherence to diabetes medications: findings from a large pharmacy claims database. Diabetes Care 2015;38:604–609
    1. Speight J, Reaney MD, Barnard KD: Not all roads lead to Rome-a review of quality of life measurement in adults with diabetes. Diabet Med 2009;26:315–327
    1. Welschen LM, Bloemendal E, Nijpels G, et al. : Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. Cochrane Database Syst Rev 2012;1:CD005060.

Source: PubMed

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