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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 26, No 4, July/August 2015

190

AFRICA

In the 11 studies (24 702 patients) that used LDL-C levels

of either 2.5 or 2.6 mmol/l (100 mg/dl or less) to define control,

51.4% (range 20.0–82.9%) of patients achieved goal.

10-20

One

study (225 patients) with a total cholesterol target of

<

200 mg/

dl (5 mmol/l) had 49.3% of patients at goal.

21

Two studies (702

patients) did not measure lipid levels.

9,22

In general, more patients reached target for LDL-C than

for HbA

1c

levels, with the poorest achievement of targets being

BP. The widest variability of target achievement was LDL-C

(variation of 62.9%), followed by BP and then HbA

1c

(least

variability). The highest and lowest achieved targets were those

by an American (LDL-C, 82.9%) and a German study (BP,

7.4%), respectively.

18,19

Discussion

The quality of diabetes care cannot simply be measured across

proportions of patients achieving guideline targets. However,

a broad overview of the quality of care can be gauged when

comparing target adherence across different countries, especially

with adequately sized samples of patients. Hence the reason

for this review, where countries from various economies were

compared, according to achievement of modifiable risk factors

against the guidelines. Based on the results of other studies, this

review set out to establish the achievement of major risk-factor

targets (HbA

1c

, BP and LDL-C levels) in the treatment of DM

patients in different parts of the world.

Given the increasing prevalence of T2DM, effective

management of critical diabetes risk factors can significantly

contribute towards improved outcomes. Attaining targets

requires improved methods to increase adherence to lifestyle

(exercise/diet) and pharmacological interventions. From this

review, it was evident that certain studies appeared to be more

successful at managing patients’ risk factors than others.

Practitioners achieving better guideline adherence should

be encouraged to share their management strategies for

implementation with other healthcare facilities. Hermans

et al.

found that by benchmarking the level of care of ‘three paramount

cardiovascular risk factors’ in a primary care setting has in itself

led to a clinically significant improvement in T2DM care over

time.

13

There is also evidence to suggest that performance with

regard to management of a disease, when compared between

a physician and his/her colleagues, has brought about an

intellectual, emotional and competitive incentive for change.

23

The most critical ways of reducing T2DM complications is

by collectively managing HbA

1c

, BP and LDL-C levels. More

patients achieved LDL-C than HbA

1c

targets in the studies

reviewed, potentially owing to the progressive nature of the

disease, where

β

-cell function gradually declines over time. BP

control was the least-achieved risk factor across all the studies,

and according to McLean

et al

., may have occurred due to the

‘inadvertent under emphasis’ of treating T2DM-associated risk

factors (such as hypertension, when there is strong emphasis on

glucose control).

24

Perhaps it was due to inadequate dosages,

poor adherence to medication, poor access to follow-up care or

a combination of these. A well-designed, randomised, controlled

trial may help address these questions.

Once considered rare in sub-Saharan Africa, the prevalence

of T2DM is rapidly increasing. As many as four out of every five

diabetics reside in LMICs, many of whom remain undiagnosed.

1

T2DM is a complex, resource-intensive disease requiring

multifactorial yet individually tailoured, lifelong treatment.

Most of the studies found and included in this review were

from higher-income countries. However patterns of poor control

rates were common across all settings. For instance, less than

40% of patients from the USA, Europe (specifically Italy) and

the UK studies (all high-income countries) achieved HbA

1c

levels (

<

7%) comparable with those of lower- to upper-middle-

income countries (Uganda and South Africa, respectively).

14,17-20

Similarly, the combined results of six European countries, and

other individual studies, had less than half of patients at LDL-C

target, as seen in two separate non-high-income countries.

13,14,20

Yet on the other hand, and possibly as expected from more-

developed nations, two to three times more patients from

separate European (specifically the Netherlands) and a USA

study achieved HbA

1c

(

<

7%) and LDL-C (

<

2.6mmol/l) targets

in comparison with a lower-income country, respectively.

14,19,22

The differences across the sites in their abilities to achieve

guideline targets may be attributed to socio-economic reasons.

In resource-rich settings, where patients supposedly receive

the extra time required for diabetes care through more regular

physician interactions or appointments, appropriate reminder

systems and adherence monitoring, this may improve the

standards of diabetes care received. Lower-income countries

face the realities of inadequate healthcare infrastructure, regular

medication stock outs, few educational programmes and minimal

healthcare facilities/professionals.

25

This literature review covered

the influences of multiple background factors occurring across

healthcare systems in different countries, hence the differences in

targets achieved across the environments studied.

As described above, Africa faces many healthcare challenges,

both within and between countries. Despite resource constraints,

by targeting the modifiable risk factors associated with DM,

there is still the potential for improvement, and better patient

outcomes. This review serves to highlight the proportion of

patients achieving guideline targets across different settings.

The aim of this review was to serve as a benchmark for those

countries selected, in order to measure their performance against

each other in terms of achieving guideline targets.

By recognising those healthcare settings with increased

patient numbers achieving guideline targets, this could allow

for future studies to identify the mechanisms and processes used

to achieve their targets. Areas of interest for the improvement

of diabetes care could include: organisational characteristics

such as improved implementation of adherence to clinical

guidelines (evidence-based), identification of individuals to act

as guideline champions to deliver more performance measures,

and feedback to healthcare providers on progress made. Perhaps,

once identified, the settings achieving less-favourable control of

modifiable risk factors may begin to explore approaches used

in the more successful settings. In addition, given the chronic

progressive nature of DM, it is hoped that attention will be

prioritised not just on treatment but also on prevention strategies

in those settings wishing to improve their level of diabetes care

offered.

It has been predicted that the ageing populations of LMICs

will face a significant increase in mortality rate due to NCDs

over the next 25 years.

26

Although not included in this review, a

previous South African study revealed that only 30.4% of the 899

patients achieved HbA

1c

levels

<

7%, which is similar to the three