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ORIGINAL RESEARCH
Introduction
Chronic diseases of lifestyle (CDL) are on the increase in South
Africa as in the rest of the world. This increase in the number of
communicable and non-communicable diseases has labelled South
Africa as a country with a ‘double burden of disease.1 CDL are a
group of diseases that share similar risk factors as a result of expo-
sure, over many decades, to unhealthy diets, smoking and lack of
exercise and possibly stress.2 These risk factors further include inter
alia high blood pressure, high blood cholesterol, diabetes and obes-
ity. These risk factors present in various disease processes such as
stroke, heart attacks, certain cancers, chronic bronchitis and many
others that culminate in high mortality and morbidity rates.3
Research has indicated that regular physical activity can positively
address all above-mentioned pathological conditions and thereby
reduce the mortality and morbidity rates in populations.3 Biokinetics
has drawn on and implemented this body of evidence to prescribe
scientically based exercise programmes to prevent and manage
non-communicable diseases in South Africa. In developed countries
physical inactivity is estimated to cause 6.0% of all deaths for men
and 6.7% for women.4 A study investigating the cost-effectiveness of
health care-based interventions aimed at improving physical activity
found evidence for cost effectiveness in groups with high risk, such
as older persons and persons with heart failure.5
In South Africa, biokinetics has been practised for the last 25
years after the scope of practice was published in the Government
Gazette.6 Although the road to obtaining recognition was very
difcult,7 the profession has continued growing, with 12 training
institutions training about 150 students every year. More than
1 000 biokineticists have completed their training during the last 25
years, with the current register of the Board of Health Care Funders
(BHF) reporting 799 active practice numbers for 2009.8 The scope
of practice for biokinetics deals with the prescription of scientically
based exercise for preventing and treating CDL as well as for nal-
phase rehabilitation of orthopaedic injuries.9
Biokineticists usually form part of a multidisciplinary team in the
treatment of chronic diseases and orthopaedic injuries together with
medical practitioners, physicians, physiotherapists and dieticians.
In the South African health care sector, however, biokineticists only
form part of the multidisciplinary team in the private health care
sector. Research indicates that this formal private health sector is
a large, well-developed, resource-intensive and highly specialised
sector that provids health insurance coverage to some 7 million
people.10 The other estimated 40 million South Africans make use
of either the public health care system or traditional healers, or pay
out of their pockets for private health care services. As biokineticists
are not employed in the public health sector, except in the National
The potential market demand for biokinetics in the private
health care sector of South Africa
CORRESPONDENCE:
Professor S J Moss
PhASRec in the School of Biokinetics, Recreation and Sport
Science
North-West University (Potchefstroom Campus)
Potchefstroom, 2520
Tel: 018 2991821
Fax: 018 285 6028
E-mail: Hanlie.moss@nwu.ac.za
Sarah J Moss (PhD)1
Martie S Lubbe (PhD)2
1Niche Area for Physical Activity Sport and Recreation (PhASRec) in the School of Biokinetics, Recreation and Sport Science, North-West
University (Potchefstroom Campus), Potchefstroom
2Niche Area for Medicine Use in South Africa (MUSA) in the School of Pharmacy, North-West University, Potchefstroom
Abstract
Objective: Biokinetics, a profession registered with the Health
Professions Council of South Africa (HPCSA), address inter alia
chronic diseases of lifestyle (CDL) with exercise as treatment
modality. The purpose of this investigation is to determine the po-
tential market demand for biokinetic services in the private health
care sector of South Africa.
Methods: Data from a pharmaceutical benet management sys-
tem (PBM) were analysed to determine the prevalence of chronic
diseases in the private health care sector for 2007. Telephonic
interviews on a sub-sample of 50 biokineticists revealed the
average number of patients that can be treated monthly per bioki-
neticist. The number of biokineticists with active practice numbers
was obtained from the Board of Health Care Funders (BHF).
Results: The results indicate that 47% (747 199/1 600 000) of
the patients managed by the PBM are treated with medication
for one or more CDL. Non-steroid anti-inammatory medication
(21%), medication for cardiovascular diseases (13%) and bron-
chodilators (11%) had the highest prevalence. The sub-sample of
biokineticists indicated that one biokineticist can treat an average
of 100 patients per month. The potential market demand calcu-
lated from the above numbers indicated that 7 472 biokineticists
are needed in the private health care sector, while only 625 active
practice numbers were registered with the BHF in 2007.
Conclusion: In conclusion, it is estimated that only 7.6% of pa-
tients with CDL can potentially be treated by the current number
of registered biokineticists. Therefore an enormous market po-
tential for biokinetics exists in the private health care sector of
South Africa.
14 SAJSM VOL 23 NO. 1 2011
SAJSM VOL 23 NO. 1 2011 15
Defence Force, people making use of the public health care system
are not exposed to biokinetic intervention.
Although other health disciplines are attracted away from the
public health sector with large nancial and personal incentives,10
this is not the case with biokinetics. This lack of job opportunities
in the public health sector has forced biokineticists to become
entrepreneurs by starting private practices. These practices are solo
practitioners, associations or partnerships with other biokineticists
or other health practitioners. This is, however, not as straightforward
as other entrepreneurial ventures. Strict ethical guidelines set by
the HPCSA to guide the profession and protect the public against
exploitation hamper biokineticists to do marketing to the same extent
as unregistered/unregulated professions.9
In order to start any new venture, determining the market
potential for the product is extremely important. As the purpose of
all businesses is to create wealth, the product, price, packaging and
place of sale should be thoroughly investigated.11 Health professionals
are unfortunately seldom trained in business principles. This lack of
business skills often results in the failure of biokinetic practices to be
sustainable over a long period. This may create the perception that
the potential market demand is too small to sustain the number of
biokineticists trained annually. In the history of biokinetics in South
Africa no studies have investigated the potential market demand for
biokinetics, based on the services delivered by the profession to the
public.
The purpose of this study was to determine the potential market
demand for biokinetics in the private health care sector of South
Africa. The results obtained from this investigation will shed some
light on the potential number of biokineticists that could be trained
per year, given no restrictions from the training institutions with
regard to lecturing staff.
Research methodology
Data collection
The study was an observational study to determine the potential
market need for biokinetics. In order to understand the method-
ology, it is important to dene the market. According to Wood12 the
market potential is all the customers who may be interested in the
service that is presented. It is, however, important to remember that
some customers in this potential market are unaware of the product,
some may not have access to it, some may not be able to use it and
some may not be able to afford it. The potential market represents
the maximum number of customers who might buy the product – but
not the number who will realistically buy it.13
The approach that was followed (Fig. 1) was to determine the
number of persons in the identied segment (persons with a chronic
disease of lifestyle) that potentially require the service and the
number of potential service delivery points (practising biokineticists)
matching each other. This was performed within the South African
private health care framework.
For the purpose of this study, the market segment that was
identied to base the potential market demand on was that of
persons with CDL and orthopaedic abnormalities. Although the
scope of practice for biokineticists9 includes the pathogenic and the
fortogenic (health promotion) paradigms, it was decided to focus only
on the pathogenic paradigm for the purpose of this study. Because
secondary data were used for the analyses, it was important to ensure
that they are timely, unbiased, legitimate, reliable and qualied.12 In
order to comply with these criteria, it was decided to make use of
timely (2007), unbiased and reliable information from a private sector
medicine claims database. The data are reliable as the database is
created online in real time as patients collect their prescriptions. The
geographical area, according to postal code of the consultation room
of the prescriber, was also captured.
The medicine claims data were from a pharmacy benet
management company (PBM). The PBM company administered
medicine claims data of members of medical schemes from almost
all community pharmacies and 98% of the dispensing doctors. For
security, ethical, patient and provider identication reasons, PBM
company was not identied by name.
Prevalence of chronic diseases of lifestyle
The Niche Area: Medicine Use in South Africa (MUSA) has the rights
to use the medicine claims database of the specic PBM for research
purposes. Ethical clearance was obtained from the Ethics Committee
of the North-West University (Project number: NWU-0046-08-S5).
This system is a fully integrated management system for more than
42 medical scheme clients administered by 17 different health care
administrators. In 2007, 1.6 million South Africans beneted from this
system. All medicines prescribed for chronic diseases were classi-
ed according to the coding system in the Monthly Index of Medical
Specialties (MIMS) classication system, which classies medicine
according to its pharmacological action.14 A further classication of
medicine information was performed with regard to the place (con-
sultation room) of prescriber (province, district council, municipality
and main place level).
The Statistical Analysis System®, SAS 9.1®15 programme
was used to group all prescribed practice addresses according to
province, district council, municipality and main place level. This
allowed the researchers to identify the number of diseases treated
with medication and the number of patients who received chronic
medicine in different geographical areas in South Africa.
From the database all chronic conditions where exercise is
considered an appropriate treatment modality and that is addressed
by biokineticists in their scope of practice as announced in the
Government Gazette6 in 1983, were extracted to determine the
national and provincial prevalence of the following chronic diseases
in South Africa: hypertension, diabetes, obesity, dyslipidaemias,
cardiovascular diseases, osteoporosis, depression and chronic
obstructive pulmonary diseases (COPD).
Biokineticist to patient/client ratio
In order to determine the potential market for biokinetics in the pri-
vate health care sector, the ratio of biokineticist to patient or client
Fig. 1. A schematic presentation of the research methodological approach.
PBM dataset
Biokinetics
Prevalence
Distribution
Chronic disease
HPCSA & BASA dataset
Biokineticists
Bio/Patient ratio
Distribution
Number of
Biokineticists
?
=
Number of
Biokineticists
Chronic disease of lifestyle
Fig. 1. A schematic presentation of the research methodological
approach.
16 SAJSM VOL 23 NO. 1 2011
was also determined by means of a telephone survey. Biokinetics
practice owners registered with the Biokinetics Association of South
Africa (BASA) website were asked to indicate the average number
of active clients/patients treated at their facility monthly, the number
of biokineticists and intern-biokineticists working in the practice. The
ratio of biokineticist to patient/client was determined from this infor-
mation.
Statistical analysis
Descriptive statistics with frequency tables, mean ± standard devia-
tion and graphs were performed in order to determine the market
potential for biokinetics in the private health sector. Mathematical
calculations were performed to calculate the potential market need
for biokineticists.
Results
The purpose of this study is to determine the potential market de-
mand in the broad term for biokinetics in the private health care sec-
tor, specically with reference to the pathogenic paradigm. In order
to determine this potential demand the results will be presented by
determining the prevalence of CDL, reporting on the physical activity
levels of the population and the available biokineticists and practices
that address the CDL with exercise.
The prevalence of CDL as represented by chronic medication
use from a medicine claims database of a PBM company indicated
that 911 212 chronic diseases were treated within the 1.6 million
subscribers (Table I). The average age of the persons taking chronic
medication for diseases related to CDL was 36.8 ± 21.8 years.
The average age was calculated according to the age at the rst
prescription date. The females were slightly older than the males
(M=35.4±21.9 years; F=37.9±21.8 years). Totals in the table do not
add up, as a few claims could not be placed according to geographical
region (provinces) but are included in the calculations.
The results of Table I indicate that the prevalence of CDL is
66% in the specic PBM database for 2007. It is however known
that one person could be diagnosed and treated for more than one
disease, as is often the case for persons with diabetes mellitus. The
calculation of the number of patients represented by the prevalence
of CDL in the PBM (Table II) indicates that 47% of persons registered
with the PBM are treated for CDL and receiving medication for the
CDL. The prevalence of persons with CDL is the highest in the
Gauteng province at 19%, with the lowest prevalence the Northern
Cape at 1%.
When the results form Table II are further divided by age and
ratio of female/male it shows that except for gout, the ratio of women
obtaining chronic medication is higher than for men. The average
age of the patients also indicate that lung disease is present mainly
in the younger population, with the average age of persons treated
with bronchodilators at 33.0±23.2 years and those with asthma
TABLE I. The prevalence of diseases related to chronic diseases of lifestyle receiving medication in the private
health care sector based on a PBM company database in 2007 for the different provinces in South Africa
CDL
Eastern
Cape Free State Gauteng
KwaZulu-
Natal Limpopo
Mpuma-
langa
North-
West
Northern
Cape
Western
Cape TOTAL
Anti-
depressants 9 080 8 149 50 763 16 106 6 854 5 650 7 692 2 314 14 993 122 026
Epilepsy 1 547 1 604 13 583 5 091 958 1 081 1 476 324 2 717 28 481
Parkin-
sonism
291 268 1 807 593 145 154 235 60 557 4 123
NSAID 23 214 16 022 137 497 48 487 23 156 19 820 23 304 5 130 33 836 332 173
Gout 1 333 994 7 708 2 113 913 1 150 999 233 2 196 17 681
Osteopo-
rosis
855 607 4 815 1 670 211 292 429 100 1 851 10 872
CVD 210 248
Inotropic
agents
507 495 2 384 1 028 286 259 310 131 925 6 345
Arrhyth-
mias
258 478 2 155 610 83 157 210 66 735 4 774
Hyperten-
sion
11 570 9 249 66 102 22 151 6 365 6 945 8 467 2 455 23 559 157 354
Angina 4 553 3 012 19 081 7 236 2 613 2 415 2 869 10 704 7 588 50 587
Vasodilator 50 104 782 97 54 69 142 32 107 1 444
Vasocon-
strictors
233 270 2 746 514 156 303 386 89 442 5 138
Hyperlipi-
daemia
6 393 4 166 36 455 10 509 1 986 2 891 3 519 875 14 133 81 204
Bronchodi-
lators
12 471 7 639 27 495 11 095 10 548 12 764 2 739 21 642 175 277
Asthma 2 478 2 533 19 964 6 463 3 479 1 959 3 083 508 4 805 45 367
Diabetes 3 388 2 335 19 638 7 981 2 557 2 129 2 586 693 6 010 47 459
Total 76 543 45 905 403 129 135 009 54 314 45 662 46 683 11 029 92 774 911 212
CDL = chronic diseases of lifestyle; NSAID = non-steroid anti-inammatory drugs; CVD = cardiovascular disease.
SAJSM VOL 23 NO. 1 2011 17
medication 32.6±25.3 years. The average age of people obtaining
medication for cardiovascular diseases is 60 - 70 years. Non-steroid
anti-inammatory medication (NSAID) is mostly prescribed to
persons around the age of 45 years. This may be due to the onset of
arthritis and joint and muscle pain from previous injuries.
The calculation from Fig. 2 indicates that from 1.6 million persons,
747 199 persons are on medication for a CDL that could be treated
through exercise intervention such as presented by biokineticists.
This is further divided into 316 894 persons suffering from a single
disease and the rest treated for more than one disease within the
CDL. The prevalence of participants on anti-inammatory medication
is the highest (21%), followed by patients who received medication for
cardiovascular diseases (13%) and then patients on bronchodilators
(11%) and medication for hypertension (10%).
Physical inactivity proles of South Africans
As biokineticists address CDL with exercise as treatment, it is also
important to report on the current levels of physical inactivity as it
is a risk factor for CDL.3 Secondary data reported in the South Afri-
can Health Review10 compared the levels of inactivity reported in the
general population with those reported in a corporate survey (Table
III). The results indicate that about 50% of the general population
does not participate in levels of physical activity that would reduce
or manage CDL.
Current biokinetic practices
In order to determine the market potential, the current number of
biokineticists who render this service had to be determined. The
number of practising biokineticists according to the BASA website,
which is an optional place to register and not compulsory (Table IV),
indicates 284 biokinetic practices. Seventy-one of the 284 practices
are accredited to employ biokinetic interns (students in training who
have to complete a nal year of practical training before nal regis-
tration with the HPCSA can be obtained). These practices may em-
ploy more than one biokineticist and a maximum of two interns per
registered biokineticist.9
Data obtained from the BHF,8 the management system for practice
numbers that enables biokineticists and patients to claim from
medical insurance, indicate 625 biokineticists with active practice
numbers who were also registered with the HPCSA in 2007. The
distribution of these practices within South Africa (Table IV) indicates
that the majority of the practices are in the Gauteng province (130),
with the second most in the Western Cape (63). This means that
46% of biokineticists are practising in and around Gauteng, while
about 22% of the total pool of practising biokineticists is active in the
Western Cape. This leaves about 32% of the biokineticists in the rest
of South Africa.
Ratio of biokineticist to patient/client
A telephonic interview with 50 randomly selected available bioki-
neticists indicated that each biokineticist could manage about 100
1
Fig 2. The prevalence (%) of disease in participants on the PBM database taking
medication for the different chronic diseases of lifestyle. (NSAID =
non-steroid anti-inflammatory drugs; CVD = cardiovascular disease
Fig 2. The prevalence (%) of disease in participants on the PBM
database taking medication for the different chronic diseases of
lifestyle. (NSAID = non-steroid anti-inammatory drugs; CVD =
cardiovascular disease.)
TABLE II. Prevalence of CDL according to the number of persons diagnosed and treated with medication for each
of the provinces and in relation to the estimated population
Provinces Estimated population Persons with CDL % of the estimated population
Eastern Cape 6 906 200§46 503 2.9
Free State 2 965 600§33 110 2.1
Gauteng 9 688 100§300 659 18.8
KwaZulu-Natal 10 014 500§112 948 7.1
Limpopo 5 402 900§47 221 2.9
Mpumalanga 3 536 300§42 221 2.6
North-West 3 394 200§49 895 3.1
Northern Cape 1 102 200§11 271 0.7
Western Cape 4 839 800§100 343 6.3
Not indicated 3 028 0.2
Total 47 849 800§747 199 46.7
§Total mid-year population estimates, 2007.16
TABLE III. A summary of the prevalence (%) of phys-
ical inactivity reported in different surveys
Surveys Total (%) Males (%)
Females
(%)
51-country survey17 46.2 44.7 47.6
Youth risk behaviour18 36.8 30.5 43
Corporate survey19 69 62 75
SADHS20 46 43 49
World Health Survey21 46 43 49
SADHS = South African Demographic and Health Survey.
18 SAJSM VOL 23 NO. 1 2011
(range 40 - 160) patients per month depending on the type of prac-
tice and the business strategy followed. There was an average of 2
biokineticists working in each practice. If every biokineticist managed
100 clients in South Africa from the specic PBM, where 747 199
clients are treated for CDL, then 7 438 biokineticists will be required
in South Africa. Table IV indicates the current number of practising
biokineticists with regard to each province together with the market
potential based on the prevalence of chronic disease as indicated by
the PBM system.
Discussion
CDL are a reality in South Africa, a country with a double burden of
disease that is created between CDL, also known as non-communi-
cable diseases, and the infectious diseases such as HIV/AIDS and
tuberculosis, also known as communicable diseases. The results of
this study indicate that the prevalence of the CDL in this PBM system
is 56% and represent 47% patients. The major three conditions rep-
resent nearly a third of all the total medicine expenditure managed
by this studied PBM. This is much higher than the reported 37%
of deaths attributed to CDL.18 Considering that most of the surveys
report on data that were obtained either during 199820 (SADHS) or
until 2005,2 it is therefore possible that the prevalence of CDL has
increased substantially since the last survey.
Although the percentages are not very high, the corresponding
numbers of persons who require treatment are substantial. If these
percentages of prevalence for the various CDLs are extrapolated
to the general population, estimated to be 47 498 00016 (StatsSA,
2009) at June 2007, it could mean that about 26 795 888 people in
South Africa are diseased by one of the CDLs. Steyn et al.2 report
that about 6 million people are living with hypertension, 4 million with
diabetes and about 4 million have hyperlipidaemia. Steyn et al.2 also
mention that about 56% of the population has at least one of these risk
factors. The prevalence of CDL as found in this investigation based
on the prescription of medication, observed comparable prevalence
for hypertension and diabetes as reported by Puoane et al.23 Studies
investigating the cost of managing CDL have highlighted the burden
of CDL on an economy. 23,24
When interpreting the data on CDL from a biokineticist’s point
of view, it is important to also consider the inactivity patterns in
South Africa. The results indicate that females are more inactive
than males, with people in the corporate sector reporting inactivity
levels of close to 70% in the total for males and females.10 This is a
daunting number of physically inactive persons who are often also
exposed to high levels of stress in the work environment. These high
levels of physical inactivity indicate that there is a huge potential for
the management of chronic diseases with exercise and physical
activity interventions, as the majority of the population are currently
not participating in the required amount of activity as prescribed by
the ACSM3 to achieve health outcomes.
The results of the number of biokineticists registered with the
HPCSA that also have active practice numbers indicate that the
approximately 625 biokineticists are most likely accommodated
within the 284 biokinetics practices in South Africa. These are
crude delineations as it is impossible to obtain the exact number of
biokineticists who are actively earning a living as biokineticists. The
reason is that persons on the register of the HPCSA continue to pay
registration fees annually to ensure they stay on the role, even if they
are not practising, in order to keep their registration. The reason for
this behaviour is that it is difcult to obtain registration again once
you have been deregistered and have not practised for a number of
years. Another reason for inaccurate numbers on the BASA website
is the fact that it is optional to register practices on the website. In
spite of the inaccurate numbers, the data described are still the most
accurate available that were used in the analysis and assumptions
made.
The distribution of the biokinetics practices simulate the areas
of high income in South Africa, with the most practices being in the
Gauteng area and the least practices in the Northern Cape, which has
the lowest income per capita.16 The population density in Gauteng is
also higher than in the Northern Cape, resulting in shorter travelling
distances between home and biokinetic practices. The analyses of
the number of patients/clients that a biokineticist is able to treat per
month indicated an average of 100 persons with a range of between
40 and 160. There was an average of 2 biokineticists working per
accredited practice.
In order to calculate the potential market demand for biokinetics,
the potential number of persons taking medication for CDL according
to the analysed PBM system was divided by 100 to determine the
number of potential biokineticists needed. This calculation indicated
that about 7 438 biokineticists are needed. If an average of two
persons work together, that means that about 3 719 practices are
potentially needed. The current number of biokinetic practices is
therefore calculated to be rendering a service to only 8% of the
potential market. As these are pure calculations to determine the
market potential, it is necessary to take into account the factors
that may hamper people from visiting a biokineticist for exercise as
treatment of a CDL.
When calculating a market potential, the broadest market is
rst determined,12 as was done with this study. It is important to
remember that these results are a crude indication of the potential
market demand for biokinetics in the private health care sector. This
study also only focused on the pathogenic paradigm, and not the
fortogenic (health promotion) paradigm, where biokinetic intervention
addresses the prevention of CDL. The section of the market that has
the income to afford the service and has access to the product should
be determined. Important factors that can inuence the behaviour of
the potential consumers will include gender, level of education, age,
ethnic background and the perceived value for the client/patient,
TABLE IV. The relationship between the current
number of practising biokineticists and the potential
market need for the different provinces
Province
Current number of
practices (N)
Market need
for biokineti-
cists* (N)
Eastern Cape 19 465
Free State 11 331
Gauteng 130 3 006
KwaZulu-Natal 33 1 129
Limpopo 5 472
Mpumalanga 9 422
North-West Province 11 498
Northern Cape 3 112
Western Cape 63 1 003
Total 284 7 438§
*Based on 100 patients/biokineticist.
§Numbers differ due to some claims not being linked to original place of prescribing
of medication.
SAJSM VOL 23 NO. 1 2011 19
various social connections and personal elements, of which lifestyle
would be the most prominent together with motivation.
A study investigating the factors that inuence the demand for
health care in South Africa using a multinomial logit estimation, found
that there are three categories of factors that inuence the demand.
These factors are: (i) demographic and location variables (e.g.
income, race and location); (ii) characteristics of the care provided
(e.g. cost and distance from the respondent); and (iii) characteristics
of the illness (such as severity).25 This study also found that an
increase in income indicated a decrease in the use of primary health
care. Where income was above R2 785 per month, primary health
care was only utilised in less than 5% of the respondents.25 These
results give an indication of the income group that can be expected
to seek treatment for CDL as offered by biokinetics.
The limitations of this study were that the numbers on which
the calculations are based are relative, although currently the most
accurate available. The calculations from the PBM are also based
on the prevalence of the 2007 data, as the classication of the 2008
data is not available. The number of biokineticists is also a crude
number as accurate numbers are difcult to obtain. Registered
biokineticists often become pharmaceutical representatives to earn
a larger income while also learning business and marketing skills
before returning to the profession.
Conclusions
The conclusion that can be drawn from this study is that there is a
large potential market for biokinetics in the private health care sector
of South Africa. Currently only an estimated 8% of the potential mar-
ket is addressed by biokinetics with exercise as a treatment modality.
This is only the calculation for the pathogenic paradigm. It therefore
seems that the number of biokineticists trained annually could be
increased to address the shortage in the market. However, an inves-
tigation is recommended to determine the factors that may prevent
the large potential market demand from realising.
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