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Factors influencing non-attendance of clinic appointments in diabetic patients at a Gauteng hospital in 2007/2008

Authors:

Abstract

Objective: To determine the factors influencing non-attendance with clinic appointments in diabetic patients at a Gauteng Hospital in 2007/2008.Setting: Two diabetes clinics situated at a secondary-level hospital, that offer more specialised outpatient care to adult patients with type 1 and 2 diabetes.Design: Between 21 November 2007 and 12 March 2008, a convenience sample of consecutive non-attending diabetic patients (n = 76) was prospectively recruited for the study. A survey of the non-attending patients was conducted, using two data collection methods, namely face-to-face interviews and telephone interviews. Patient demographics, reasons for non-attendance, perceived severity of diabetes, and perceived encouragement from others to attend were investigated. The characteristics of the non-attending patients and the reasons for non-attendance were explored.Results: Of the 520 patients who were booked during the study period, 35% were not compliant with their clinic visit. The mean age of the patients was 51 years (range 18–85). All patients perceived diabetes to be a serious disease. Of the interviewed patients, 83% perceived their health to be either good or excellent, and 95% claimed that a clinic visit assisted them in managing their diabetes. Only 20% of the patients diarised their appointment dates, while the rest simply used the appointment card given by the clinic. Patients had various reasons for not complying with their clinic appointments, with forgetting being the most frequently dominant response (22%).Conclusion: Forgetfulness, which was found to be the major cause of non-attendance, can easily be addressed in ensuring the attendance of scheduled clinic visits.
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Original Research: Factors influencing non-attendance of clinic appointments in diabetic patients
2009 Volume 14 No 2JEMDSA
Factors inuencing non-attendance of clinic appointments
in diabetic patients at a Gauteng hospital in 2007/2008
a Ngwenya BT, Post graduate student b van Zyl DG, MBChB, DipPec, FCP(SA), MMed(Int), MSc(ClinEpid) a Webb EM, BSc(Agric)(Genetics), MPH(Pret)
a School of Health Systems and Public Health, University of Pretoria, South Africa b Department of Internal Medicine, University of Pretoria, South Africa
Correspondence to: Dr D van Zyl, e-mail: dgvanzyl@kalafong.up.ac.za
Introduction
Diabetes is the fourth leading cause of non-violent death globally.
Without urgent action being taken, diabetes-related deaths are
set to increase by more than 50% over the next 10 years.1 Unless
preventative measures are taken, 380 million people worldwide will
have diabetes by 2025, with the largest increase occurring in the
developing countries, of which most are in Africa.2
Diabetes is responsible for multiple serious long-term health
complications. These include diabetic neuropathy; retinopathy,
nephropathy and macrovascular disease, which can lead, and
contribute, to significant morbidity related to foot ulcer amputations;
renal failure, coronary heart disease and stroke.
In Africa diabetes was virtually unknown decades ago but has now
become a disease of major public health concern. The exact extent
of the problem in Africa is not well understood, since the disease is
not a research priority.
In developing countries, diabetes is frequently diagnosed in people
aged between 35 and 64, implying that diabetes is impacting on
people during their most economically productive years.3
Currently, the health systems in Africa are already overwhelmed
with communicable diseases, such as TB, malaria, and HIV/AIDS.
The rise in diabetes prevalence has the potential of further straining
the capacity of many national health care systems and thereby
negatively affecting the quality of life of millions on the continent.
In sub-Saharan Africa, diabetes is already a major contributor to ill
health, with the overall burden currently being placed on the health
system.4
Diabetes is an incurable disease and hence the treatment offered
to diabetes patients aims to minimise complications and maximise
quality of life. Diabetes requires regular and structured follow-
up and surveillance by health professionals.5 Non-attendance of
appointments is one of the major contributors to poor control in
diabetic patients.6 Greater compliance may be associated with a
decreased probability of diabetes-related complications.7
Abstract
Objective: To determine the factors influencing non-attendance with clinic appointments in diabetic patients at a Gauteng Hospital in
2007/2008,
Setting: Two diabetes clinics situated at a secondary-level hospital, that offer more specialised outpatient care to adult patients with type
1 and 2 diabetes.
Design: Between 21 November 2007 and 12 March 2008, a convenience sample of consecutive non-attending diabetic patients (n = 76)
was prospectively recruited for the study. A survey of the non-attending patients was conducted, using two data collection methods, namely
face-to-face interviews and telephone interviews. Patient demographics, reasons for non-attendance, perceived severity of diabetes, and
perceived encouragement from others to attend were investigated. The characteristics of the non-attending patients and the reasons for
non-attendance were explored.
Results: Of the 520 patients who were booked during the study period, 35% were not compliant with their clinic visit. The mean age of the
patients was 51 years (range 18–85). All patients perceived diabetes to be a serious disease. Of the interviewed patients, 83% perceived their
health to be either good or excellent, and 95% claimed that a clinic visit assisted them in managing their diabetes. Only 20% of the patients
diarised their appointment dates, while the rest simply used the appointment card given by the clinic. Patients had various reasons for not
complying with their clinic appointments, with forgetting being the most frequently dominant response (22%).
Conclusion: Forgetfulness, which was found to be the major cause of non-attendance, can easily be addressed in ensuring the attendance
of scheduled clinic visits.
JEMDSA 2009;14(2):106-109
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Original Research: Factors influencing non-attendance of clinic appointments in diabetic patients
2009 Volume 14 No 2JEMDSA
Numerous studies have been conducted to investigate the
characteristics of the non-attending patient, and the reasons for
patients’ non-attendance of health care appointments.7-10 Some of the
studies have revealed the effects of non-attendance on the patient,
as well as the effects on the quality of service provision at the health
care facility. Other studies have shown that non-attendance brings
about undesirable results for both patients and clinic personnel.
Non-adherence to diabetes treatment strategies prevents patients
from receiving optimal care.8 Jacobsen et al9 found that 34% of
patients with type 1 diabetes who defaulted from care had poor
glycaemic control, compared to those who kept their appointments.
Patients who miss appointments also miss opportunities for
detecting complications and treatment adjustments and, as a result,
may experience poorer patient outcomes.
Non-attendance of appointments also disrupts the management
of patients, in that the hospital clerks have to waste time locating
records and preparing for patients who fail to arrive. Patients who
need immediate care may also be required to wait longer to be seen
because of a high (unanticipated) turnout of unscheduled patients.
The efficiency of the health system is thus hindered.8
A study evaluating the financial significance of failed appointments
revealed that non-attendance results in allocated resources not being
utilised.10 For example, staff get paid, even when patients do not
attend. Cost increases of this nature are unwelcome in developing
countries, where resources are already very limited.
Various reasons for missing appointments have been reported
in different studies and these include forgetfulness, financial or
transportation issues, feeling that the appointment was unimportant,
an inability to get time off from work, feeling too ill, administrative
errors, and long waiting times.7-11
A Medline search revealed that only a few studies on compliance
with appointments have been done in Africa. Among these, none has
been done specifically for diabetic patients.
This study seeks to identify the characteristics of non-attending
patients and to determine the reasons for the non-attendance of
clinic appointments in diabetes patients being treated at Kalafong
Hospital in Pretoria, South Africa. It is hoped that the outcome of this
study will aid in the formulation of strategies aimed at reducing the
incidence of non-attendance.
Kalafong Hospital is a secondary-level hospital, with two diabetes
clinics that offer specialised outpatient care to adult patients with
type 1 and 2 diabetes. The clinics are attended by patients with
a type of diabetes and/or hypertension that is difficult to control,
diabetes-related complications or a need for treatment that is not
available at primary health care level.
The two clinics operate from 08:00–13:00 on Wednesdays and
Fridays. An appointment system is used by both clinics in order to
manage the number of patients attending the clinic each day. Each
consultation is managed according to a structured consultation
schedule, which includes an eye examination, a foot examination
and a kidney function test. Appointments are arranged to ensure that
each patient visits the clinic four times a year (i.e. once a quarter).
Both clinics keep records of the patients booked for a certain clinic
date, as well as of their actual attendance.
A problem with non-attendance of such clinic appointments was
noted by the clinic staff. Some patients fail to turn up for their
appointments, whereas some turn up on a date later than that
scheduled. Though a maximum of 40 patients were booked for
each clinic per day, an average of seven patients per day attended
without an appointment, with an average of eight patients per day
missing their appointment. The low rate of compliance with clinic
appointments was of concern for the physicians at both the diabetes
clinics. Prior to the current study, the reasons for non-attendance
had not been examined.
Materials and methods
A sample of consecutively non-attending diabetic patients who were
willing to participate in the study were prospectively recruited for the
study. All patients included in the study were older than 18 years,
and able to speak and understand English or Northern Sotho. The
patients had to be receiving outpatient diabetic treatment from one
of the two diabetes clinics at Kalafong Hospital during the study
period (i.e. November 2007 to March 2008).
Non-attending patients were defined as patients who missed at least
one appointment with the diabetes clinics. Patients who attended
the clinics without a prior appointment, and having missed their
previous appointment, were also classified as non-attending, and,
as a result, were considered for the study. All non-attending patients
must have had, and attended, a previous clinic appointment, in
order to be included in the study. Clinic appointment records and
attendance registers were used to identify those patients who had
missed appointments at the clinic.
Two data collection methods were used in this study. Non-attending
patients who visited the clinic after the appointment date were asked
to consent to a face-to-face interview. Those for whom contact details
were available, who failed to turn up for an appointment, were phoned
within seven days of the previous appointment date, and were also
asked to consent to participate in the study telephonically.
A semi-structured questionnaire (available online as Appendix 1)
was used to collect the data, with each interview taking an average
of seven minutes. The questionnaire investigated, among other
issues, the perceived severity of the patient’s diabetes, the amount
of perceived encouragement from others to attend, the perceived
obligation to attend the visit, and the perceived difficulty with
attending the clinic.
All data were entered using EpiData-Entry 3.1. STATA 10 was used
to analyse the data. Other statistical packages, such as EpiData-
Analysis, were also used, where appropriate.
The study protocol was submitted and approved by the Ethics
Committee of the Faculty of Health Sciences of the University of
Pretoria. Informed consent was obtained from all the participants
in the study.
Results
During the study period, 520 patients were booked to attend the
diabetes clinic and 182 patients missed an appointment. Seventy-
four patients could not be contacted to participate in the study. The
reasons for not being able to contact patients were: incorrect contact
details recorded in the hospital files; patients’ telephone number
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Original Research: Factors influencing non-attendance of clinic appointments in diabetic patients
2009 Volume 14 No 2JEMDSA
having changed; patients giving phone numbers of relatives living
apart from them; and patients not answering when phoned (after
more than three attempts to phone them at different times). As a
result, only 76 participated in the study (see Figure 1).
The mean age of the patients was 51.30 years (SD 14.01). Of the
non-attending patients, 59% were married. The unemployment rate
was high (43%), with 55% of the patients having only a primary
education, or less (see Table I).
In response to being asked why it is important to control hypertension
and diabetes, most (49%) patients stated that they perceived death
to be a major risk, followed by stroke (22%), while 19% mentioned
fainting, dizziness and weakness as the possible result of uncontrolled
hypertension and diabetes. Blindness (9%) and kidney failure (1%)
were perceived as unimportant risks in relation to uncontrolled
hypertension and diabetes.
Of the interviewed patients, 83% perceived their health to be either
good or excellent. The patients were asked how likely they thought
they were to develop serious complications due to diabetes. Despite
patients being very optimistic about their current health status, 74%
expressed a belief that they are very likely to develop diabetes-
related complications.
Of the participants, 95% claimed that a visit to the clinic assisted
them with managing their diabetes. Only 20% of the patients diarised
the appointment dates, while the rest simply used the appointment
card given by the clinic.
Only 46 (60%) of the patients interviewed had someone who
assisted them to keep to an appointment. Difficulty with keeping a
clinic appointment was expressed by 3 of the 76 patients. Two of the
three patients stated that they live far from the clinic and suggested
that they would prefer to be transferred to a clinic nearer to where
they stay. The third patient claimed that it was difficult to keep an
appointment due to financial constraints. The patient did not know
that it was government policy to be treated even if you cannot pay
for such treatment.
When asked where they had to wait the longest when coming to
hospital to attend the clinics, 64 patients (85%) indicated that they
wait the longest at the hospital pharmacy, while 6 (8%) indicated that
they had to wait the longest for the administrative clerks, and 5 (7%)
for the doctors and sisters, at the clinics.
Fifty-three patients (70%) reported using minibus taxis, 11 (14%)
private vehicles, 7 (9%) buses, and 5 (7%) trains to get to the
hospital. Patients took an average 48.86 min (SD 41.34) to travel
to the clinics.
Most of the patients (69 = 91%) reported having to rely exclusively on
the Kalafong diabetes clinics for the management of their diabetes.
Of the 7 (9%) who sought alternative care, 3 consulted a private
doctor.
All the patients stated that keeping a clinic appointment was
important to them. The reasons for missing clinic appointments
are illustrated in Table II. Patients had various reasons for missing
clinic appointments, with 22% of the responses being forgetfulness.
No patient mentioned that the clinic appointment system was an
obstacle to their compliance with clinic appointments. Instead, only
individual patient factors were given as reasons for missing an
appointment.
When asked whether receiving a reminder of an appointment
would help to boost attendance, 68 of the patients affirmed that
such a reminder would help. Of the 68, 69.7% preferred receiving
a telephone call, 28.8% preferred receiving an SMS, and 1.5%
preferred another method of communication (e.g. the mail service).
Discussion
This study sought to identify factors influencing the non-attendance
of clinic appointments by diabetic patients. The major reason given
for not complying with an appointment was forgetting, followed by
being out of town on the day of appointment, financial problems,
and work/school commitments. The findings are consistent with
other studies, which also mention forgetting as the major reason
for missing clinic appointments.7,9,11 Some of the reasons given for
not attending clinic appointments are impossible for the clinic to
address, such as bad weather, funerals and travel out of town. In
such cases, it is recommended that the patients be encouraged to
reschedule their clinic appointment before the set date.
520 booked patients
91 attempted interviews
76 were interviewed
14 had no phones
74 could not be reached
3 had died
15 refused to
participate in the study
182 non-attendants 338 attendants
Figure 1: Flow chart of patients selected.
Table I: Characteristics of patients who participated in the study
Variable N (76) (%)
Female 40 (52.6)
Marital status
Never married 19 (25.0)
Married 45 (59.2)
Separated/Divorced 3 (3.9)
Widowed 9 (11.8)
Education
Primary school or less 42 (55.3)
High school 24 (31.6)
Trade/Diploma 7 (9.2)
Degree 3 (3.9)
Employment
Full-time 15 (19.7)
Part-time 15 (19.7)
Home duties/Unemployed 33 (43.4)
Student 1 (1.3)
Retired 11 (14.5)
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Original Research: Factors influencing non-attendance of clinic appointments in diabetic patients
2009 Volume 14 No 2JEMDSA
One way of improving compliance to clinic visits would be improved
the diabetes care at the local primary health care clinics, so that the
patients can receive care closer to their homes.
Studies have shown that landline telephone or cellular phone
reminders may reduce non-attendance.11 However, a more
comprehensive intervention is required in the Kalafong situation,
where some patients have access to cellular phones, some have
landline telephone access, and others do not have ready access to
telephonic contact. Some of the latter, on registration, had given the
cellular phone numbers of their next of kin or the landline telephone
numbers of their neighbours. In many instances, the patients either
did not reside with the next of kin whose numbers were given, or
had no access to the phone for most of the day. A high turnover in
cell phone numbers contributed to the large number of unreachable
patients. It was therefore found necessary to confirm the correct
phone numbers on each visit of the patient to the clinic. The patients
should be informed of why it is important to provide reliable contact
information to the medical authorities.
The clinic may also provide counselling and education to all non-
attendant patients. The clinic should consider using positive
reinforcement, and giving incentives to every attending patient.
Care providers need to be aware of both their positive and
negative communication skills, which may also impact on clinic
attendance.11
The recruitment process for the present study focused on those
patients who came to the clinics without an appointment, having
missed a prior appointment, as well as those with cellular phones or
landline telephones. This might be a limitation on the study, as non-
attendant patients who did not attend one of the clinics throughout
the study period, and who had no cellular phone or landline
telephone were excluded from the study. This could introduce bias
into the study, especially if the excluded group differs distinctly from
the study group i.e. the excluded group being poorer and hence not
able to afford phones.
The non-attendance of clinic appointments impacts negatively on
patient care, since patients may miss out on the opportunity to
receive treatment or screening for the complications of diabetes.
Furthermore, the non-attendance of prescheduled appointments
adds to the frustrations of health care providers who already have
difficulty in planning the patient load at the clinics. More studies
need to be done in possible interventions to reduce non-compliance,
especially for diabetic patients in Africa.
References
1. World Health Organisation. Diabetes. Available from http://www.who.int/mediacentre/factsheets/
fs312/en/index.html. (Accessed 08/08/2007)
2. World Diabetes Foundation. Diabetes and non-communicable diseases – now considered as big a
threat to Africa as HIV/AIDS. Available from www.worlddiabetesfoundation.org/media(3781,1033)/
WDFpressreleaseEN.pdf.pdf. (Accessed 08/08/2007)
3. International Insulin Foundation. Diabetes in sub Saharan Africa. Available from www.access2insulin.
org/Factsheet.PDF. (Accessed 08/08/2007)
4. Mbanya JC, Kengne AP, Assah F. Diabetes care in Africa. Lancet. 2006;11:1628–9.
5. Williams R. Diabetes mellitus. In: Stevens A, Raftery J, eds. Health care needs assessment reviews.
Oxford: Radcliffe Medical Press; 1994.
6. Mollentze W F, Koning J M M. Where have all the diabetics gone? S Afr Med J. 2007;97:6.
7. Griffin SJ. Lost to follow-up: the problem of defaulters from diabetes clinics. Diabet Med, 1998;15
(Suppl 3):S14–S24.
8. Benoit SR, Ji M, Fleming R, Philis-Tsimikas A. Predictors of dropouts from a San Diego diabetes
program: a case control study. Prev Chronic Dis 2004;1:1–8.
9. Jacobson AM, Adler AG, Derby L, Anderson BJ, Wolfsdorf JI. Clinic attendance and glycemic control.
Diabetes Care 1991;14:599–601.
10. Moore CG, Wilson-Witherspoon P, Probst JC. Time and money: effects of no-shows at a family
practice residency clinic. Fam Med 2001;33:522–7.
11. Pieper B, DiNardo E. Pearls for practice: reasons for missing appointments in an outpatient clinic for
indigent adults. JAANP 1998;10:359–364.
Table II: Reasons given for missing an appointment
Reason No of responses
received %
Forgot the appointment date 17 22
Was out of town at the time 12 15
Could not afford to attend the clinic 10 13
At work/school and could not take leave to attend clinic 8 10
Had to attend a funeral on the appointment date 7 8.9
Got dates mixed up 4 5.1
Lost clinic appointment card giving the appointment date 3 3.8
Had no transport to the clinic 3 3.8
Had to baby-sit/did not have a baby-sitter 2 2.5
Could not walk, due to illness 2 2.5
Had some other personal appointment 2 2.5
Could not read my appointment card, due to bad
eyesight 2 2.5
Misunderstood appointment requirements 2 2.5
Claims did attend 2 2.5
Arrived late at the clinic and found it closed 1 1.3
Weather was bad (i.e. raining) 1 1.3
Was an in-patient at the hospital on clinic day 1 1.3
TOTAL 79 100
Note: Due to the question allowing for multiple responses, the total number of responses is more than 76
(i.e. the number of respondents).
Original Research: Factors influencing non-attendance of clinic appointments in diabetic patients
2009 Volume 14 No 2JEMDSA
Appendix 1: Questionnaire
Q1. How old are you? _______________________________
Q2. What is your date of birth? _________________________
Q3. What is your gender? _____________________________
Q4. What is your marital status? ________________________
Q5. What is your race? ______________________________
Q6. How much schooling have you had? __________________
_____________________________________________
Q7. What is your current employment status?
_____________________________________________
Q8. Do you think diabetes is a serious disease?
_____________________________________________
Q9. Why is it necessary to control diabetes and high blood
pressure? _____________________________________
_____________________________________________
Q10. How do you rate your health? ______________________
_____________________________________________
Q11. How likely is it that you will have serious complications
because of your diabetes?
_____________________________________________
Q12. How useful do you consider a visit to the diabetes clinic?
_____________________________________________
Q13. Has a clinic visit assisted you in your diabetes management?
_____________________________________________
Q14. Do you write (on calendar or diary) the day of your next
diabetes clinic appointment?
_____________________________________________
Q15. Who assists you in keeping to an appointment?
_____________________________________________
Q16. How effective do you think is a diabetes clinic visit in helping
you to manage diabetes?
_____________________________________________
Q17. How important do you think is it to keep a diabetes clinic
appointment?
Q18. How easy is it for you to keep a clinic appointment?
_____________________________________________
Q19. If your response to Q18, is difficult or very difficult, please give
reasons why ___________________________________
_____________________________________________
_____________________________________________
Q20. If you attend the diabetes clinic where do you wait the
longest? (Choose one only) ________________________
_____________________________________________
Q21. How often does seeing the doctor fulfill your expectations?
_____________________________________________
Q22. In general, how satisfied are you with the service at the clinic?
_____________________________________________
Q23. What mode of transport do you use when coming for an
appointment? ___________________________________
_____________________________________________
Q24. How long does it usually take you to travel to hospital?
……hours ……min
Q25. Have you sought an alternative care facility for your diabetes
other than Kalafong diabetes clinic? __________________
Q26. If yes which one? _______________________________
Q27. Are you aware that you missed a clinic appointment at the
diabetes clinic on? ___________________________ (date)
Q28. Why did you miss the appointment? __________________
_____________________________________________
_____________________________________________
Q29. In relation to your response to Q28, what will help you not to
miss future appointments? ________________________
_____________________________________________
_____________________________________________
_____________________________________________
Q30. Would a reminder before the appointment day assist you?
_____________________________________________
Q31. If yes, in what format will you prefer the reminder?
_____________________________________________
_____________________________________________
_____________________________________________
_____________________________________________
_____________________________________________
... Ngwenya, van Zyl and Webb 26 investigated the factors associated with non-attendance of outpatient appointments at a Diabetic Clinic at Kalafong Hospital in Gauteng, South Africa. The results of the study showed that the distance that the patients had to travel to the clinic influenced whether they attended or not 26 . Patients that were located further from the clinic were more likely to miss appointments 26 . ...
... The results of the study showed that the distance that the patients had to travel to the clinic influenced whether they attended or not 26 . Patients that were located further from the clinic were more likely to miss appointments 26 . This is in agreement with findings from an international study done by Mitchell and Selmes in the UK 18 . ...
... This is in agreement with findings from an international study done by Mitchell and Selmes in the UK 18 . Furthermore, patients were less likely to attend if they did not have their own transport 26 . A qualitative study which explored the factors associated with non-compliance and non-attendance in various Cape Town health care facilities found that factors such as the accessibility of public transport services, interaction with staff members, family/caregivers involvement in rehabilitation as well as the necessary information with regards to treatment being available hindered patient treatment compliance which increased the risk of non-attendance 27 . ...
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Introduction: Occupational therapists and physiotherapists use outpatient follow-up appointments to continue and monitor the effectiveness and outcome of therapy interventions. Attendance of follow-up appointments is essential, as non-attendance has negative implications for both the patient and the healthcare facility.Methodology: This retrospective, cross-sectional study made use of a period sample of all outpatients with scheduled appointments between January and December 2017 (n = 837) at the Western Cape Rehabilitation Centre (WCRC). Children under the age of 18 years were excluded. Descriptive statistics were used to describe the identified variables of the sample. Logistic regression was used to determine the adjusted odds ratio for the association between non-attendances and identified covariates.Results: The sample population of 837 patients, included 516 attenders and 321 non-attenders. Factors that had an associationwith non-attendance included hospital classification, diagnostic category and impairment according to ICD 10 coding (p < 0.05).Conclusion: This article describe factors associated with non-attendance of outpatients to scheduled occupational therapy andphysiotherapy appointments at the WCRC. Further research is needed to determine the reasons for non-attendance at institutions such as WCRC which will assist in the implementation of strategies to reduce high non-attendance rates. Key words: non-attendance, occupational and physiotherapy appointments, outpatient appointments
... Defaulting rates amongst patients living with diabetes (PLWD) vary globally, from as low as 4% to as high as 57%. [2][3][4][5][6][7][8] No differences in defaulter rates were noted between developing versus developed countries in these studies. [2][3][4][5][6][7][8] This finding signifies that the burden of defaulting remains a global hindrance to attaining better diabetes control. ...
... [2][3][4][5][6][7][8] No differences in defaulter rates were noted between developing versus developed countries in these studies. [2][3][4][5][6][7][8] This finding signifies that the burden of defaulting remains a global hindrance to attaining better diabetes control. Many studies have shown that patients who default have poorer diabetes control with higher complication rates when compared with those patients who attend their visits. ...
... Ngwenya et al. showed in their study conducted in Johannesburg, South Africa that they had a defaulter rate of 35% and that the main reason for defaulting in their patients was forgetfulness followed by patients being out of town and work/school commitments. 8 Their study did not further analyse the defaulter group to determine their level of diabetes control. The study conducted by Fiagbe et al. in Ghana found that patients with lower socio-economic status were more likely to default and that the defaulters had poorer diabetes control. ...
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Background: Ideal control of diabetes mellitus (DM) remains elusive globally. Identifying defaulting reasons in diabetes clinics can provide potential interventional areas. Methods: Data of patients booked for the Edendale Hospital diabetes clinic (attendees and defaulters) between August 2019 and February 2020 were used to determine whether control in defaulters differed from attendees and to analyse defaulting reasons. Results: A total of 581 patients living with diabetes (PLWD) attended; 213 defaulted (defaulting rate 26.79%). Defaulters (1) had poorer glycaemic and lipid control; (2) with HIV infection and type 2 DM (T2DM) had inferior glycaemic control; (3) performed more self-monitoring of blood glucose (SMBG). Substantially more females defaulted across all categories. They had poorer glycaemia and lipid control with higher body mass index. The commonest defaulting reasons were forgetting appointments, too many clinics (TMC), patient sick and work commitments (44.3% vs. 24.5% vs. 13.1% vs. 10.8%). Within HIV-infected defaulters, reasons ranged from TMC, work commitments and other reasons to forgot appointment (57.7% vs. 26.1% vs. 23.8% vs. 13.8%). A significant number of HIV-infected and patients on antiretroviral therapy, of both sexes, with T2DM, defaulted secondary to TMC. Patients with hypertension and chronic kidney disease (CKD) defaulted due to TMC. Bivariate analysis revealed that being a pensioner, increased age, employment and presence of T2DM were significantly associated with being sick. Older patients defaulted in poor weather while younger patients specified school/work commitments. Patients who complained of TMC had higher creatinine levels. Conclusions: The defaulting rate in PLWD remains high. Defaulters had sub-optimal glycaemic and lipid control. TMC proved to be significant for patients with chronic diseases (HIV infection, hypertension and CKD) highlighting the need for combined communicable and non-communicable diseases clinics. Defaulting females and HIV-infected PLWD had high prevalence of cardiovascular risk factors. Afternoon clinics might assist with work/school commitments. Wireless uploading of SMBG results and teleconsultation is an option.
... Types of studies identified and reported rates of nonattendance Thirty-four studies of varying designs were identified (15 observational, 1 randomized control trial, 9 qualitative, 5 surveys, 4 service improvements). Sixteen were studies from the UK [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25], four from Europe [8,[26][27][28], six from North America [7,[29][30][31][32][33] and eight from the rest of the world [34][35][36][37][38][39][40][41]. Six studies specifically focused on young adults in transition from paediatric to adult services, each of which had a mean participant age of >18 years (age range 15-30 years) [16,17,28,34,39,42]. ...
... The means of quantifying non-attendance varied; some studies calculated the number of missed appointments as a percentage of total booked appointments [7,13,16,18]. Non-attendance was also determined as the number of people missing more than one appointment in a defined period [14,17,19,20,[27][28][29][30][31]34,36,38,43,44] or when there was no record of HbA 1c measurement in primary or secondary care in the previous 12-15 months [23,24]. Re-referred 'lapsers' made up 19% of the 'new patient' clinic load at one UK diabetes service [11] and appointment cancellations were only defined as a separate entity in one study where they occurred more frequently than non-attendance (18 vs. 12%) [30]. ...
... Of the nine studies examining reasons for non-attendance, three were surveys [11,14,19] and six used interviews and/or focus groups [8,12,16,25,36,41]. ...
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Background: Non-attendance at diabetes outpatient appointments is a sizeable problem worldwide and has been associated with suboptimal health outcomes. We aimed to describe the characteristics, health outcomes and reasons given for non-attendance at doctor- or nurse-led diabetes appointments, and interventions to improve attendance. Methods: PubMed, EMBASE, CINAHL and PsychInfo were searched from database inception to February 2019. Included articles were peer-reviewed, published in English, related to adults or young people with type 1 or type 2 diabetes, and addressed one of the above aspects of non-attendance. Studies were excluded if reporting on other types of diabetes or reviewing attendance at structured education, retinal screening, paediatric, antenatal, podiatry or dietetic clinics. Results: Thirty-four studies of varied designs were identified (15 observational, 1 randomized control trial, 9 qualitative, 5 surveys, 4 service improvements). The definition of non-attendance varied. Younger adults, smokers and those with financial pressures were less likely to attend. Non-attendance was associated with higher HbA1c ; other outcomes were varied but typically worse in non-attenders. Reasons for non-attendance in qualitative studies fell into three categories: balancing the costs and benefits of attendance, coping strategies, and the relationships between the person with diabetes and healthcare professionals. Interventions included appointment management strategies, service improvements, patient navigators and WebCam appointments. Conclusions: Non-attendance is only partially explained by logistical issues. Qualitative studies suggest complex psychosocial factors are involved. Interventions have progressed from simple appointment reminders in an attempt to address some of the psycho-social determinants, but more work is needed to improve attendance.
... These findings resonate with existing literature. Ngwenya and Van (2009) identified forgetfulness as the primary cause of non-attendance among diabetic patients in South Africa, and a study on outpatient appointments in the Sultanate of Oman (Royal Hospital outpatient appointments) reported similar reasons [11,25] Patients often forgot their appointments because they were scheduled too far in advance, exacerbating the challenge of keeping track of the appointment date and time. Long waiting times, a known cause of reduced appointment attendance and patient dissatisfaction, emerged as a significant issue in this study [8,17]. ...
... These findings resonate with existing literature. Ngwenya and Van (2009) identified forgetfulness as the primary cause of non-attendance among diabetic patients in South Africa, and a study on outpatient appointments in the Sultanate of Oman (Royal Hospital outpatient appointments) reported similar reasons [11,25] Patients often forgot their appointments because they were scheduled too far in advance, exacerbating the challenge of keeping track of the appointment date and time. Long waiting times, a known cause of reduced appointment attendance and patient dissatisfaction, emerged as a significant issue in this study [8,17]. ...
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Background: Patient non-attendance for radiology appointments is an international problem with significant implications for healthcare recipients and healthcare efficiency. Non-attendance impacts patient health, waiting lists, and other hospital departments while increasing staff stress, anxiety, and fatigue. Understanding the reasons behind patient non-attendance is crucial for developing effective strategies to help improve attendance rates. Objective: This study explored the reasons for patient non-attendance for scheduled radiology appointments and identified potential strategies to enhance attendance at a specialist hospital in Saudi Arabia. Methods: Using semi-structured interviews, nine men and eight women who were purposively sampled and had missed scheduled radiology appointments at the research site were interviewed. Thematic analysis was employed to identify the key themes represented by the data. Findings: This qualitative study revealed the multifaceted nature of patient non-attendance for scheduled radiology appointments at the specialist hospital in Saudi Arabia. Five themes underlying non-attendance were identified. First, scheduling conflicts were a significant barrier. Second, a lack of adequate knowledge about health conditions was evident. Third, physician-patient miscommunication was a critical issue. Fourth, transportation difficulties, especially for those living far from the hospital or without personal transportation, were a key factor in non-attendance. Finally, personal reasons, such as fear of medical procedures and the patient’s health status, also contributed. The study identified two main areas for improvement: implementing an effective appointment reminder system and enhancing the radiology department by extending hours and addressing non-attendance more effectively. These strategies underscore the need for a patient-centered approach to reduce barriers to attendance. Conclusion: The findings suggest that patient non-attendance is multifactorial, involving personal and hospital-specific reasons. Strategies to improve attendance should thus be multifaceted, including better scheduling systems, enhanced patient education and communication, and reminder systems. These insights can inform targeted interventions to reduce non-attendance rates, ultimately improving healthcare delivery and resource utilization.
... Overall, the participants received the current online diabetes wellness programme well; perceived it as a convenient, practical, preferred approach during the pandemic; increased their knowledge and awareness; and brought on lifestyle changes. A burden to travel and financial constraints associated with transportation was reported as a factor causing patients' non-attendance at traditional clinic consultations [37]. A guideline has been proposed for physicians providing diabetes care through telemedicine during the pandemic to conduct the traditional face-to-face consultation session during the first encounter for physical examinations [35]. ...
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There were massive interruptions, including patient visits for dietary advice and dental services, during the COVID-19 outbreak. This study assessed the feasibility of an online diabetes wellness programme among periodontitis patients with type II diabetes mellitus. Patients were grouped into the intervention group (IG) and control group (CG). At baseline and week 12, all patients answered online questionnaires on diabetes-related knowledge, physical activity, and oral impacts on daily performances (OIDP). Body weight and waist circumference were self-measured with guided instructions. Diet recalls were used to estimate dietary and added sugar intake. All patients received a weekly educational video, but the IG attended three e-consultation sessions with a dietitian (weeks 1, 3, and 8) and a dentist (week 8) via video call. A semi-structured interview was conducted to collate qualitative feedback among the IG participants at the end of the programme. A total of 24 periodontitis patients (14 IG and 10 CG) participated in this study. Among the IG patients, significant improvements in diabetes knowledge, body weight, BMI, calories, carbohydrates, fat, and added sugar intakes were observed at week 12. The CG patients only had a significant reduction in carbohydrate intake post intervention. No changes were reported in physical activity level and OIDP for both groups. Feedback received from the IG participants included convenience, practical, preferred approach during the pandemic, increased awareness and knowledge, and favourable lifestyle changes. This study demonstrates that an online diabetes wellness programme with healthcare professionals is feasible and can facilitate knowledge and lifestyle improvements that can be adapted during the crisis situation.
... Diabetes is the fourth leading cause of non-violent death globally. Without urgent action being taken, diabetes-related deaths are set to increase by more than 50% over the next ten years (Ngwenya, van Zyl and Webb, 2009). Unless preventative measures are taken, 380 million people worldwide will have diabetes by 2025, and 439 million by 2030 (Shaw, Sicree and Zimmet, 2010), with the largest increase in the developing countries, of which most are in Africa. ...
Article
Diabetic retinopathies is a complication of diabetes mellitus causing blindness globally, and as patients live longer, cases of diabetic retinopathy increases. Despite efforts to educate patients at their eye visits, yearly follow up visits is still a major challenge. Objectives of the study were to investigate the reasons for noncompliance by determining the relationship among the selected factors (knowledge/ condence/ fear and anxiety) and adherence to yearly reviews by the ophthalmologist. The instrument used was a semi-structured questionnaire with sections covering demographics, statements regarding diabetes and diabetic eye care and one section with an open ended question to determine the reasons for nonattendance. The open ended question was used to analyse the reason for non-compliance. Atotal of 300 diabetic patients were randomly selected for the study. Of the 300 participants, 151 (50.3%) were compliant. Compliance with doctor's visits was found to be associated with positive behaviour and more knowledge and control. Knowledgeable patients were more satised with the medical services. Fear of stigma associated with diabetes mellitus was found to be associated with demographic variables such as gender, race, marital status, employment status and educational level. The main reasons for noncompliance were lack of information, negligence, busy work schedules and lack of nance.
... Hospitals and Clinics in low socioeconomic populations have shown non-attendance rates as high as 30% while family practice clinics show as low as 5% [6]. For instance, studies from Guateng Hospital [11] and Tygerberg Hospital [12] in Cape town, South Africa had 35% and 17% rates of missed appointments respectively while studies from Ilorin [13] and Abeokuta [14] Nigeria had 38% and 20% missed appointments respectively. One study from Africa examined post-discharge treatment adherence among 387 patients at a Nigerian psychiatric unit and found that 46% had defaulted by 3 months [15]. ...
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Background/Objective: Thousands of patients miss their appointments every year in all kind of practices including specialists’ cares. Timely access at scheduled clinic appointment is important for achieving good medical outcomes to smoothen workflow, reduce crowding and waiting period, and often determines patient’s satisfaction. However, the after effect of missed appointment include; disruption of daily work planning of both physicians and administrative staff, interfered with adequate medical care, time lost and decreased efficiency on the part of physicians and as well as prolonged waiting time at the clinic. This study aims to determine the rate of missed appointments, reasons for missing appointments, the predisposing factors and aftereffect of missed appointments at specialist outpatient clinics of the hospital. Methods/Design: This was a cross-sectional study carried out at the consultative outpatient clinics of FMC Bida. Out of 38,837 patients’ population, a total of 380 patients were systematically co-opted into the study using a stratified sampling technique. A semi structured questionnaire was used to collect data. The questionnaires comprised of questions that assessed the participant’s demographic characteristics, rate, reasons and predisposing factors of missed appointment. Results: out of 380 participants co-opted into the study, 315 responses were obtained. The result showed that the majority of the participants was within the age range of 25-34 (105, 33.3%), mostly female (220, 69.8%) and predominately Nupe dialect. A total of 139(44.1%) participants claimed to have ever missed their appointment. The reasons for the missed are; forgetfulness, lack of money for treatment, lack of money for transport and work commitment respectively. The majority who missed their appointment attend gyne infertility, orthopedic and psychiatric clinics. They are uneducated, artisans and from villages outside Bida town. Conclusion: since the reasons of missed appointment and predisposing factors have been identified, healthcare professionals and hospital management will need to pay serious attention with regards to the following; reduce waiting time at the clinic, restructure appointment scheduling system, educate patients on appointment, subsidize the cost of treatment for
Article
Background: Non-attendance at diabetes appointments is common, 1-4 and associated with higher HbA1c levels, reduced medication taking, and increased complications. 1-45 Barriers to attendance are multifactorial including both logistical and psychosocial factors. 6-11 A proposed solution is the implementation of a postal diabetes annual review box enabling self-collection of blood and urine samples, and measurement of blood pressure and weight. Aim: To explore the views of Healthcare Professionals (HCPs) who are involved in the organisation or delivery of diabetes care regarding the acceptability and implementation of a postal box as part of the diabetes annual review. Method: We conducted a qualitative study recruiting HCPs into semi-structured interviews and focus groups. Collected data were analysed using an inductive approach and following the principles of reflexive thematic analysis12. Results: Twenty-one HCPs participated in the study. HCPs felt that a postal box could overcome many individual and service factors contributing to non-attendance. They felt the box could encourage self-management behaviours and could be used as a tool for communication. HCPs recognised that the postal box could free up time in appointments to focus on holistic care delivery without further stretching limited resources. HCPs were concerned about the possible additional administrative burden a postal box might create, and the public perception of an intervention which could reduce face-to-face care. Conclusion: Healthcare professionals seem receptive to the idea of a postal diabetes annual review box and feel it has the potential to offer people with diabetes an improved quality of care.
Article
Aim The diabetes annual review is an important part of clinical care. Non‐attendance is increasingly common and associated with poor health outcomes. At‐home self‐collection of blood tests, urine samples and anthropometric data through a postal box may facilitate engagement. We aimed to explore the views of people living with diabetes on the use of a postal box as an alternative to usual care for self‐collecting blood samples, urine samples and anthropometric data and to understand whether the availability of a postal box would facilitate the uptake of the diabetes annual review. Methods We conducted semi‐structured interviews and focus groups with adults who have type 1 or type 2 diabetes. Purposive sampling was used to obtain a high representation of infrequent attendees of annual review appointments within the study population. Transcripts were collated and analysed thematically. Results Twenty participants took part including eight infrequent attendees. All infrequent attendees and most regular attendees responded positively to a postal box, with convenience being the most prominent value described. Concerns raised related to capability of self‐collection and the accuracy of results. Participants were asked for suggestions to improve the postal box. The most common themes related to communication; needing clearer information about each test in the postal box; feedback of results; and utilising the box to communicate priorities for discussion at future consultations. Conclusion Postal boxes for annual reviews were well‐received by those living with diabetes. Designed well, they have the potential to overcome more than just the physical barriers to annual review attendance.
Article
This cohort study investigated the association between treatment cessation and incidence/progression of diabetic retinopathy (DR) in Japanese patients with type 2 diabetes mellitus (T2DM). Data were extracted from electronic medical records at the University of the Ryukyu Hospital and the Tomishiro Central Hospital of Okinawa, Japan. We enrolled 417 diabetic patients without DR (N = 281) and with nonproliferative DR (N = 136) at the baseline. Treatment cessation was defined as failing to attend outpatient clinics for at least twelve months prior to the baseline. After a median follow-up of 7 years, we compared the incidence/progression rate of DR including nonproliferative and proliferative DR between patients with and without treatment cessation and calculated the odds ratio (OR) in the treatment cessation group using a logistic regression model. The overall prevalence of treatment cessation was 13% in patients with T2DM. Characteristics of treatment cessation included relative youth (57 ± 11 years vs. 63 ± 12 years, P < 0.01). Treatment cessation was tightly associated with the incidence of DR (OR 4.20 [95% confidence interval [CI] 1.46–12.04, P < 0.01) and also incidence/progression of DR (OR 2.70 [1.28–5.69], P < 0.01), even after adjusting for age, sex, BMI, duration of T2DM, and HbA1c level. By considering major confounding factors, the present study demonstrates an independent association between treatment cessation and incidence of DR in patients with T2DM, highlighting treatment cessation as an independent risk for DR in T2DM.
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To assess factors associated with attendance at a specialized clinic for diabetes care. Adults with insulin-dependent diabetes mellitus (IDDM) in poor (HbA1 greater than or equal to 12%) versus good (HbA1 less than or equal to 10%) control and with no known complications comprised the study group. Infrequent attenders were in worse glycemic control than regular attenders (chi 2 = 6.60, P less than or equal to 0.01) and held health beliefs that downplayed the importance of getting advice from physicians (P less than or equal to 0.002) or providing opinions to physicians about what might be done to improve their health (P less than or equal to 0.001). Because infrequent attenders are more likely to be in poor glycemic control and thus at greater risk for diabetic complications, engaging them in regularly supervised treatment has important personal and public health implications. Additional studies are needed to understand why some diabetic patients limit their contact with medical providers and to develop more effective strategies for reversing this process. Initial findings from this study suggest that patient beliefs about the doctor-patient relationship may influence clinic attendance.
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When patients fail to appear for scheduled appointments, the flow of patient care is interrupted, and clinic productivity declines. This study investigated the impact of failed appointments on a clinic by measuring time and money lost after taking into account same-day treatment patients (walk-ins). Schedule information was retrieved for 4,055 visits over 20 business days. Data were collected on appointment status (show, no-show, cancel, walk-in), time allocated for the appointment, charges for visit, date and time of the visit, and other appointment information. No-shows and cancellations represented 31.1% of scheduled appointments and 32.2% of scheduled time. Rates of failed appointments varied by type of provider, patient demographics, and patient status (new versus established). Walk-in patients replaced 61.0% of failed appointments but only 42.4% of the time blocked for those appointments. Walk-in visits generated 89.5% of the charges associated with scheduled visits. Over the course of a year, total revenue shortfalls could range from 3% to 14% of total clinic income. Failed appointments pose financial as well as administrative problems for residency practices. Proactive reminder systems are needed to promote patient attendance.
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The objective of this study was to determine the demographic, treatment, clinical, and behavioral factors associated with dropping out of a nurse-based, low-income, multiethnic San Diego diabetes program. Data were collected during a 17-month period in 2000 and 2002 on patients with type 2 diabetes from Project Dulce, a disease management program in San Diego County designed to care for an underserved diabetic population. The study sample included 69 cases and 504 controls representing a racial/ethnic mix of 53% Hispanic, 7% black, 16% Asian, 22% white, and 2% other. Logistic regression was used to determine factors associated with patient dropout. Patients who had high initial clinical indicators including blood pressure and hemoglobin A1c and those who smoked currently or smoked in the past were more likely to drop out of the diabetes program. This study provides markers of patient dropout in a low-income, multiethnic, type 2 diabetic population. Reasons for dropout in this program can be investigated to prevent further cohort loss.
Article
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.
International Insulin Foundation Diabetes in sub Saharan Africa Available from www.access2insulin. org/Factsheet
International Insulin Foundation. Diabetes in sub Saharan Africa. Available from www.access2insulin. org/Factsheet.PDF. (Accessed 08/08/2007)
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