Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-28T05:11:05.019Z Has data issue: false hasContentIssue false

Chapter 7 - Psychological Factors Impacting on Endocrine Disorders and Self-Management and Medication-Taking Behaviour

Published online by Cambridge University Press:  14 October 2021

By
Eimear Morrissey ,
Seán F. Dinneen  and
Anne M. Doherty
Edited by
Anne M. Doherty ,
Aoife M. Egan  and
Sean Dinneen
Anne M. Doherty
Affiliation:
University College Dublin
Aoife M. Egan
Affiliation:
Division of Endocrinology and Metabolism, Mayo Clinic, Minnesota, USA
Sean Dinneen
Affiliation:
School of Medicine, National University of Ireland, Galway
Get access

Summary

The majority of endocrine conditions can be successfully managed with long-term treatment, whether that be in the form of medication or lifestyle factors. In order for treatment to be effective, adherence to the treatment regime is key. Central to the concept of adherence is the presumption of an agreement between prescriber and patient about the prescriber’s recommendations. Non-adherence occurs when a patient does not initiate a new prescription, implement it as prescribed or persist with treatment. The World Health Organization (WHO) has posited that, in general, there are five dimensions to adherence, all of which can impact on rates of non-adherence: condition-related factors, health system factors, socio-economic factors, therapy-related factors and patient-related factors. While these dimensions are not entirely independent of each other, this serves as a useful means for organising the broad range of factors that can contribute to non-adherence.

Keywords

endocrine disordersdiabetesdiabetes distressmental healthaddictions
Type
Chapter
Information
Mental Health, Diabetes and Endocrinology , pp. 68 - 80
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Sabeté, E. Adherence to Long-Term Therapies: Evidence for Action. World Health Organization, 2003.Google Scholar
Vrijens, B, Antoniou, S, Burnier, M, de la Sierra, A, Volpe, M. Current situation of medication adherence in hypertension. Front Pharmacol. 2017; 8: 100.CrossRefGoogle ScholarPubMed
UK Prospective Diabetes Study Group. Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 39. UK Prospective Diabetes Study Group. BMJ. 1998; 317(7160): 713–20.Google Scholar
Colhoun, HM, Betteridge, DJ, Durrington, PN, Hitman, GA, Neil, HA, Livingstone, SJ, et al. Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial. Lancet. 2004; 364(9435): 685–96.Google Scholar
Farmer, AJ, Rodgers, LR, Lonergan, M, Shields, B, Weedon, MN, Donnelly, L, et al. Adherence to oral glucose-lowering therapies and associations with 1-year HbA1c: a retrospective cohort analysis in a large primary care database. Diabetes Care. 2016; 39(2): 258–63.Google Scholar
Polonsky, WH, Henry, RR. Poor medication adherence in type 2 diabetes: recognizing the scope of the problem and its key contributors. Patient Prefer Adherence. 2016; 10: 1299–307.CrossRefGoogle ScholarPubMed
Salas, M, Hughes, D, Zuluaga, A, Vardeva, K, Lebmeier, M. Costs of medication nonadherence in patients with diabetes mellitus: a systematic review and critical analysis of the literature. Value Health. 2009; 12(6): 915–22.Google Scholar
Capoccia, K, Odegard, PS, Letassy, N. Medication adherence with diabetes medication: a systematic review of the literature. Diabetes Educ. 2016; 42(1): 34–71.CrossRefGoogle ScholarPubMed
Gonzalez, JS, Peyrot, M, McCarl, LA, Collins, EM, Serpa, L, Mimiaga, MJ, et al. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care. 2008; 31(12): 2398–403.Google Scholar
Grenard, JL, Munjas, BA, Adams, JL, Suttorp, M, Maglione, M, McGlynn, EA, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011; 26(10): 1175–82.CrossRefGoogle ScholarPubMed
Ali, S, Stone, MA, Peters, JL, Davies, MJ, Khunti, K. The prevalence of co-morbid depression in adults with type 2 diabetes: a systematic review and meta-analysis. Diabet Med. 2006; 23(11): 1165–73.Google Scholar
Detweiler-Bedell, JB, Friedman, MA, Leventhal, H, Miller, IW, Leventhal, EA. Integrating co-morbid depression and chronic physical disease management: identifying and resolving failures in self-regulation. Clin Psychol Rev. 2008; 28(8): 1426–46.CrossRefGoogle ScholarPubMed
Knott, C, Bell, S, Britton, A. Alcohol consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of more than 1.9 million individuals from 38 observational studies. Diabetes Care. 2015; 38(9): 1804–12.CrossRefGoogle ScholarPubMed
Fielding, BA, Reid, G, Grady, M, Humphreys, SM, Evans, K, Frayn, KN. Ethanol with a mixed meal increases postprandial triacylglycerol but decreases postprandial non-esterified fatty acid concentrations. Br J Nutr. 2000; 83(6): 597–604.Google Scholar
Singh, VK, Yadav, D, Garg, PK. Diagnosis and management of chronic pancreatitis: a review. JAMA. 2019; 322(24): 2422–34.Google Scholar
Freeman, R. Not all neuropathy in diabetes is of diabetic etiology: differential diagnosis of diabetic neuropathy. Curr Diab Rep. 2009; 9(6): 423–31.Google Scholar
Wakabayashi, I, Kobaba-Wakabayashi, R, Masuda, H. Relation of drinking alcohol to atherosclerotic risk in type 2 diabetes. Diabetes Care. 2002; 25(7): 1223–8.Google Scholar
van de Wiel, A. Diabetes mellitus and alcohol. Diabetes Metab Res Rev. 2004; 20(4): 263–7.CrossRefGoogle ScholarPubMed
Strack, F, Deutsch, R. Reflective and impulsive determinants of social behavior. Pers Soc Psychol Rev. 2004; 8(3): 220–47.Google Scholar
Leventhal, H, Phillips, LA, Burns, E. The common-sense model of self-regulation of health and illness. Self-Regul Health Illn Behav. 2003; 1: 42–65.Google Scholar
Harvey, JN, Lawson, VL. The importance of health belief models in determining self-care behaviour in diabetes. Diabet Med. 2009; 26(1): 5–13.Google Scholar
Alison Phillips, L, Leventhal, H, Leventhal, EA. Assessing theoretical predictors of long-term medication adherence: patients’ treatment-related beliefs, experiential feedback and habit development. Psychol Health. 2013; 28(10): 1135–51.CrossRefGoogle ScholarPubMed
Horne, R, Weinman, J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res. 1999; 47(6): 555–67.Google Scholar
Horne, R, Chapman, SC, Parham, R, Freemantle, N, Forbes, A, Cooper, V. Understanding patients’ adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the Necessity-Concerns Framework. PLoS ONE. 2013; 8(12): e80633.Google Scholar
Verplanken, B. Beyond frequency: habit as mental construct. Br J Soc Psychol. 2006; 45(Pt 3): 639–56.CrossRefGoogle ScholarPubMed
O’Carroll, R, Whittaker, J, Hamilton, B, Johnston, M, Sudlow, C, Dennis, M. Predictors of adherence to secondary preventive medication in stroke patients. Ann Behav Med. 2011; 41(3): 383–90.CrossRefGoogle ScholarPubMed
O’Carroll, RE, Chambers, JA, Dennis, M, Sudlow, C, Johnston, M. Improving medication adherence in stroke survivors: mediators and moderators of treatment effects. Health Psychol. 2014; 33(10): 1241–50.Google Scholar
Wood, W, Rünger, D. Psychology of habit. Annu Rev Psychol. 2016; 67: 289–314.Google Scholar
Gardner, B. A review and analysis of the use of ‘habit’ in understanding, predicting and influencing health-related behaviour. Health Psychol Rev. 2015; 9(3): 277–95.Google Scholar
Phillips, LA, Cohen, J, Burns, E, Abrams, J, Renninger, S. Self-management of chronic illness: the role of ‘habit’ versus reflective factors in exercise and medication adherence. J Behav Med. 2016; 39(6): 1076–91.Google Scholar
Burns, RJ, Deschênes, SS, Knäuper, B, Schmitz, N. Habit strength as a moderator of the association between symptoms of poor mental health and unintentional non-adherence to oral hypoglycemic medication in adults with type 2 diabetes. J Health Psychol. 2019; 24(3): 321–6.CrossRefGoogle ScholarPubMed
Morisky, DE, Ang, A, Krousel-Wood, M, Ward, HJ. Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich). 2008; 10(5): 348–54.Google Scholar
Kristensen, LJ, Thastum, M, Mose, AH, Birkebaek, NH. Psychometric evaluation of the adherence in diabetes questionnaire. Diabetes Care. 2012; 35(11): 2161–6.CrossRefGoogle ScholarPubMed
Toobert, DJ, Hampson, SE, Glasgow, RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000; 23(7): 943–50.Google Scholar
Nunes, V, Neilson, J, O’Flynn, N, Calvert, N, Kuntze, S, Smithson, H, et al. Clinical Guidelines and Evidence Review for Medicines Adherence: Involving Patients in Decisions about Prescribed Medicines and Supporting Adherence. National Collaborating Centre for Primary Care and Royal College of General Practitioners, 2009.Google Scholar
Binns-Calvey, AE, Sharma, G, Ashley, N, Kelly, B, Weaver, FM, Weiner, SJ. Listening to the patient: a typology of contextual red flags in disease management encounters. J Patient Cent Res Rev. 2020; 7(1): 39–46.Google Scholar
Garrett, CJ, Choudhary, P, Amiel, SA, Fonagy, P, Ismail, K. Recurrent diabetic ketoacidosis and a brief history of brittle diabetes research: contemporary and past evidence in diabetic ketoacidosis research including mortality, mental health and prevention. Diabet Med. 2019; 36(11): 1329–35.CrossRefGoogle Scholar
Zambanini, A, Feher, MD. Needle phobia in type 1 diabetes mellitus. Diabet Med. 1997; 14(4): 321–3.Google Scholar
Anderbro, T, Amsberg, S, Adamson, U, Bolinder, J, Lins, PE, Wredling, R, et al. Fear of hypoglycaemia in adults with Type 1 diabetes. Diabet Med. 2010; 27(10): 1151–8.Google Scholar
Garrett, C, Doherty, A. Diabetes and mental health. Clin Med (Lond). 2014; 14(6): 669–72.Google ScholarPubMed
Polonsky, W. Diabetes Burnout: What to Do When You Can’t Take It Anymore. American Diabetes Association, 1999.Google Scholar
Todd, PJ, Edwards, F, Spratling, L, Patel, NH, Amiel, SA, Sturt, J, et al. Evaluating the relationships of hypoglycaemia and HbA1c with screening‐detected diabetes distress in type 1 diabetes. Endocrinol Diabetes Metab. 2018; 1(1): e00003.Google Scholar
Horne, R, Cooper, V, Wileman, V, Chan, A. Supporting adherence to medicines for long-term conditions. Eur Psychol. 2019; 24(1): 82–96.Google Scholar
Horne, R, Weinman, J, Barber, N, Elliott, R, Morgan, M, Cribb, A. Concordance, Adherence and Compliance in Medicine Taking: Report for the National Co-ordinating Centre for NHS Service Delivery and Organisation. NHS Service Delivery and Organisation R & D, 2005.Google Scholar
Horne, R, Weinmann, J. The theoretical basis of concordance and issues for research. In: Concordance: A Partnership in Medicine-Taking (ed. Bond, C). Pharmaceutical Press, 2004, pp. 119–46.Google Scholar
Miller, WR, Rollnick, S. Motivational Interviewing: Helping People Change. Guilford Press, 2012.Google Scholar
Beck, AT, Dozois, DJ. Cognitive therapy: current status and future directions. Annu Rev Med. 2011; 62: 397–409.Google Scholar
DiClemente, CC, Velasquez, MM. Motivational interviewing and the stages of change. In: Motivational Interviewing: Preparing People for Change, 2nd ed. (eds. Miller, WR, Rollnick, S). Guilford Press, 2002, pp. 201–16.Google Scholar
Rollnick, S, Allison, J. Motivational interviewing. In: The Essential Handbook of Treatment and Prevention of Alcohol Problems (eds. Heather, N, Stockwell, T). John Wiley & Sons, 2004, pp. 105–16.Google Scholar
Prochaska, JO, DiClemente, CC. Toward a comprehensive model of change. In: Treating Addictive Behaviors (eds. Miller, WR, Heather, N). Springer, 1986, pp. 3–27.Google Scholar
Schaefer, MR, Kavookjian, J. The impact of motivational interviewing on adherence and symptom severity in adolescents and young adults with chronic illness: a systematic review. Patient Educ Couns. 2017; 100(12): 2190–9.Google Scholar
Ismail, K, Winkley, K, de Zoysa, N, Patel, A, Heslin, M, Graves, H, et al. Nurse-led psychological intervention for type 2 diabetes: a cluster randomised controlled trial (Diabetes-6 study) in primary care. Br J Gen Pract. 2018; 68(673): e531–40.CrossRefGoogle ScholarPubMed
Ismail, K, Maissi, E, Thomas, S, Chalder, T, Schmidt, U, Bartlett, J, et al. A randomised controlled trial of cognitive behaviour therapy and motivational interviewing for people with type 1 diabetes mellitus with persistent sub-optimal glycaemic control: a Diabetes and Psychological Therapies (ADaPT) study. Health Technol Assess. 2010; 14(22): 1–101, iii–iv.Google Scholar
Ismail, K, Winkley, K, Rabe-Hesketh, S. Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet. 2004; 363(9421): 1589–97.Google Scholar
Winkley, K, Ismail, K, Landau, S, Eisler, I. Psychological interventions to improve glycaemic control in patients with type 1 diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2006; 333(7558): 65.Google Scholar
Winkley, K, Upsher, R, Stahl, D, Pollard, D, Brennan, A, Heller, S, et al. Systematic review and meta-analysis of randomized controlled trials of psychological interventions to improve glycaemic control in children and adults with type 1 diabetes. Diabet Med. 2020; 37(5): 735–46.CrossRefGoogle ScholarPubMed
Winkley, K, Upsher, R, Stahl, D, Pollard, D, Kasera, A, Brennan, A, et al. Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review. Health Technol Assess. 2020; 24(28): 1–232.Google Scholar
Winkley, K, Upsher, R, Stahl, D, Pollard, D, Brennan, A, Heller, SR, et al. Psychological interventions to improve glycemic control in adults with type 2 diabetes: a systematic review and meta-analysis. BMJ Open Diabetes Res Care. 2020; 8(1): e001150.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×