Literature DB >> 9829764

Lost to follow-up: the problem of defaulters from diabetes clinics.

S J Griffin1.   

Abstract

Diabetes mellitus requires lifelong self-management with regular health professional support and supervision. Estimates of the prevalence of failed appointments at diabetes clinics vary but at less than 10% appear to be lower than for other non-chronic conditions. Yet the patients who do not attend have significantly more risk factors and complications than those who keep their appointments. In addition, failed appointments reduce clinic efficiency. To date, research on non-attendance for health care has largely focused on the characteristics of defaulters and evaluation of simple interventions aimed at directly altering their appointment-keeping behaviour, such as mailed reminders. However, like the broader issue of adherence, there are many factors that predispose to non-attendance ranging from patient health beliefs and attitudes of health professionals, the organization of the clinic and the financial costs of attendance, to the degree of patient participation within consultations. Consequently, there is a range of strategies from patient reminders and induction videos, logistical and administrative changes in the clinic, to training in consultation skills for health professionals that have the potential to decrease the numbers of patients lost to follow-up. Whether these will reduce morbidity efficiently should be the subject of further work.

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Mesh:

Year:  1998        PMID: 9829764     DOI: 10.1002/(sici)1096-9136(1998110)15:3+<s14::aid-dia725>3.3.co;2-9

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  40 in total

1.  The management of diabetes.

Authors:  S J Griffin
Journal:  BMJ       Date:  2001-10-27

Review 2.  Interventions to improve the management of diabetes mellitus in primary care, outpatient and community settings.

Authors:  C M Renders; G D Valk; S Griffin; E H Wagner; J T Eijk; W J Assendelft
Journal:  Cochrane Database Syst Rev       Date:  2001

3.  Psychological characteristics of frequent short-notice cancellers of diabetes medical and education appointments.

Authors:  Katie Weinger; Sheila J McMurrich; Joyce P Yi; Susan Lin; Myriel Rodriguez
Journal:  Diabetes Care       Date:  2005-07       Impact factor: 19.112

4.  Clinic appointment reminders among rheumatology patients.

Authors:  M B O'Connor; U Bond; M J Regan; M J Phelan
Journal:  Ir J Med Sci       Date:  2009-02-11       Impact factor: 1.568

5.  Cancelled Primary Care Appointments: A Prospective Cohort Study of Diabetic Patients.

Authors:  Sara McComb; Zhiyi Tian; Laura Sands; Ayten Turkcan; Lingsong Zhang; Shree Frazier; Mark Lawley
Journal:  J Med Syst       Date:  2017-02-18       Impact factor: 4.460

6.  Factors affecting follow-up non-attendance in patients with Type 2 diabetes mellitus and hypertension: a systematic review.

Authors:  Rayson Rui Sheng Lee; Mas'uud Ibnu Samsudin; Thiru Thirumoorthy; Lian Leng Low; Yu Heng Kwan
Journal:  Singapore Med J       Date:  2019-05       Impact factor: 1.858

Review 7.  Telehealth interventions to reduce management complications in type 1 diabetes: A review.

Authors:  Amanda M Balkhi; Adam M Reid; Sarah C Westen; Brian Olsen; David M Janicke; Gary R Geffken
Journal:  World J Diabetes       Date:  2015-04-15

8.  Appointment adherence and disparities in outcomes among patients with diabetes.

Authors:  Joel M Schectman; John B Schorling; John D Voss
Journal:  J Gen Intern Med       Date:  2008-07-26       Impact factor: 5.128

9.  Barriers to obtaining diagnostic testing for coronary artery disease among veterans.

Authors:  Laura A Siminoff; Leslie R M Hausmann; Said Ibrahim
Journal:  Am J Public Health       Date:  2008-04-01       Impact factor: 9.308

10.  Text messaging reminders to reduce non-attendance in chronic disease follow-up: a clinical trial.

Authors:  Su-May Liew; Seng Fah Tong; Verna Kar Mun Lee; Chirk Jenn Ng; Kwok Chi Leong; Cheong Lieng Teng
Journal:  Br J Gen Pract       Date:  2009-12       Impact factor: 5.386

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