
ORIGINAL ARTICLE
Table 4: Distribution of patient reasons for encounter, by ICPC-2 chapter and most frequent individual reasons for encounter within chapter*
|
|
Overall |
Public Clinics |
Private Clinics |
||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
n |
% age of total RFE n=7281 |
Rate/100 encounter n=4262 |
n |
% age of total RFE n=5865 |
Rate/100 encounter n=3474 |
n |
% age of total RFE n=1415 |
Rate/100 encounter n=788 |
Respiratory |
1584 |
21.8 |
37.2 |
1179 |
20.0 |
33.9 |
412 |
29.1 |
52.3 |
|
R05 |
Cough |
651 |
8.9 |
15.3 |
477 |
8.1 |
13.7 |
174 |
12.3 |
22.1 |
R07 |
Sneezing/Nasal congestion |
327 |
4.5 |
7.7 |
245 |
4.2 |
7.1 |
82 |
5.8 |
10.4 |
R21 |
Throat symptom/ Complaint |
195 |
2.7 |
4.6 |
111 |
1.9 |
3.2 |
84 |
5.9 |
10.7 |
R74 |
Upper respiratory infection, Acute |
96 |
1.3 |
2.3 |
79 |
1.3 |
2.3 |
17 |
1.2 |
2.2 |
R80 |
Influenza |
74 |
1.0 |
1.7 |
63 |
1.1 |
1.8 |
11 |
0.8 |
1.4 |
R02 |
Shortness of breath, Dyspnoea |
70 |
1.0 |
1.6 |
51 |
0.9 |
1.5 |
19 |
1.3 |
2.4 |
General and unspecified |
1259 |
17.3 |
29.5 |
936 |
16.0 |
26.9 |
322 |
22.8 |
40.9 |
|
A03 |
Fever |
678 |
9.3 |
15.9 |
480 |
8.2 |
13.8 |
198 |
14.0 |
25.1 |
A30 |
Check up complete |
73 |
1.0 |
1.7 |
60 |
1.0 |
1.7 |
13 |
0.9 |
1.6 |
A80 |
Trauma/Injury, NOS |
71 |
1.0 |
1.7 |
61 |
1.0 |
1.8 |
10 |
0.7 |
1.3 |
A01 |
Pain, General/ Multiple sites |
53 |
0.7 |
1.2 |
30 |
0.5 |
0.9 |
23 |
1.6 |
2.9 |
A27 |
Fear of other disease, NOS |
51 |
0.7 |
1.2 |
36 |
0.6 |
1.0 |
15 |
1.1 |
1.9 |
A11 |
Chest pain NOS |
37 |
0.5 |
0.9 |
30 |
0.5 |
0.9 |
7 |
0.5 |
0.9 |
A04 |
Weakness/ |
|
|
|
27 |
0.5 |
0.8 |
|
|
|
A62 |
General administrative procedure |
|
|
|
|
|
|
8 |
0.6 |
1.0 |
Cardiovascular |
946 |
13.0 |
22.2 |
871 |
14.9 |
25.1 |
75 |
5.3 |
9.5 |
|
K63 |
Encounter, follow-up cardiovascular |
688 |
9.4 |
16.1 |
644 |
11.0 |
18.5 |
44 |
3.1 |
5.6 |
K50 |
Medication; renew; cardiovascular |
74 |
1.0 |
1.7 |
70 |
1.2 |
2.0 |
|
|
|
K25 |
Fear of hypertension |
|
|
|
|
|
|
11 |
0.8 |
1.4 |
Endocrine |
719 |
9.9 |
16.9 |
683 |
11.6 |
19.7 |
36 |
2.5 |
4.6 |
|
T63 |
Encounter, follow-up endocrine/ metabolic |
543 |
7.5 |
12.7 |
528 |
9.0 |
15.2 |
15 |
1.1 |
1.9 |
T60 |
Test result, endocrine/ metabolisme |
44 |
0.6 |
1.0 |
42 |
0.7 |
1.2 |
|
|
|
Digestive |
535 |
7.4 |
12.6 |
373 |
6.4 |
10.7 |
162 |
11.5 |
20.6 |
|
D01 |
Pain/Cramps, Abdominal general |
95 |
1.3 |
2.2 |
60 |
1.0 |
1.7 |
35 |
2.5 |
4.4 |
D11 |
Diarrhoea |
86 |
1.2 |
2.0 |
58 |
1.0 |
1.7 |
28 |
2.0 |
3.6 |
D02 |
Pain, Abdominal epigastric |
70 |
1.0 |
1.6 |
52 |
0.9 |
1.5 |
18 |
1.3 |
2.3 |
D10 |
Vomiting |
69 |
0.9 |
1.6 |
40 |
0.7 |
1.2 |
29 |
2.0 |
3.7 |
D09 |
Nausea |
|
|
|
|
|
|
8 |
0.6 |
1.0 |
Pregnancy |
470 |
6.5 |
11.0 |
429 |
7.3 |
12.3 |
41 |
2.9 |
5.2 |
|
W30 |
Check up; antenatal |
313 |
4.3 |
7.3 |
295 |
5.0 |
8.5 |
18 |
1.3 |
2.3 |
W41 |
Postnatal examination |
38 |
0.5 |
0.9 |
34 |
0.6 |
1.0 |
|
|
0.0 |
Musculoskeletal |
427 |
5.9 |
10.0 |
351 |
6.0 |
10.1 |
76 |
5.37 |
9.6 |
|
L02 |
Back symptom/ |
60 |
0.8 |
1.4 |
47 |
0.8 |
1.4 |
13 |
0.9 |
1.6 |
L15 |
Knee symptom/ Complaint |
58 |
0.8 |
1.4 |
49 |
0.8 |
1.4 |
9 |
0.6 |
1.1 |
L14 |
Leg/Thigh symptom/ Complaint |
36 |
0.5 |
0.8 |
28 |
0.5 |
0.8 |
8 |
0.6 |
1.0 |
L17 |
Ankle symptom/ Complaint |
34 |
0.5 |
0.8 |
30 |
0.5 |
0.9 |
|
|
|
L01 |
Neck symptom/ Complaint |
|
|
|
|
|
|
7 |
0.5 |
0.9 |
Neurological |
359 |
4.9 |
8.4 |
273 |
4.7 |
7.9 |
86 |
6.1 |
10.9 |
|
N01 |
Headache |
196 |
2.7 |
4.6 |
141 |
2.4 |
4.1 |
55 |
3.9 |
7.0 |
N17 |
Vertigo/Dizziness |
92 |
1.3 |
2.2 |
73 |
1.2 |
2.1 |
19 |
1.3 |
2.4 |
Skin |
346 |
4.8 |
8.1 |
264 |
4.5 |
7.6 |
82 |
5.8 |
10.4 |
|
S02 |
Pruritus |
102 |
1.4 |
2.4 |
80 |
1.4 |
2.3 |
22 |
1.6 |
2.8 |
S06 |
Rash localized |
56 |
0.8 |
1.3 |
36 |
0.6 |
1.0 |
20 |
1.4 |
2.5 |
Eye |
177 |
2.4 |
4.2 |
147 |
2.5 |
4.2 |
30 |
2.1 |
3.8 |
|
F02 |
Red eye |
39 |
0.5 |
0.9 |
34 |
0.6 |
1.0 |
|
|
|
Urology |
116 |
1.6 |
2.7 |
97 |
1.7 |
2.8 |
19 |
1.3 |
2.4 |
|
U01 |
Dysuria/Painful urination |
42 |
0.6 |
1.0 |
34 |
0.6 |
1.0 |
8 |
0.6 |
1.0 |
U02 |
Urinary frequency /Urgency |
33 |
0.5 |
0.8 |
28 |
0.5 |
0.8 |
|
|
|
Female genital system |
113 |
1.6 |
2.7 |
87 |
1.5 |
2.5 |
26 |
1.8 |
3.3 |
|
Psychiatry |
83 |
1.1 |
1.9 |
60 |
1.0 |
1.7 |
23 |
1.6 |
2.9 |
|
P50 |
Medication; renew; psychological |
|
|
|
|
|
|
10 |
0.7 |
1.3 |
P06 |
Sleep disturbance |
|
|
|
|
|
|
7 |
0.5 |
0.9 |
Ear |
59 |
0.8 |
1.4 |
40 |
0.7 |
1.2 |
19 |
1.3 |
2.4 |
|
Blood |
51 |
0.7 |
1.2 |
50 |
0.9 |
1.4 |
1 |
0.1 |
0.1 |
|
Social problems |
19 |
0.3 |
0.4 |
17 |
0.3 |
0.5 |
2 |
0.1 |
0.3 |
|
Male genital system |
17 |
0.2 |
0.4 |
14 |
0.2 |
0.4 |
3 |
0.1 |
0.4 |
|
*Only morbidities with a rate of ≥ 0.5 percentage of total RFE are included
Table 5: Ten most frequent patient reasons for encounter (RFE) in public and private clinics
| Public | Private |
||||||
|---|---|---|---|---|---|---|---|
ICPC-2 code |
Description |
N=5865 |
Rate per 100 encounters (Total=3474) |
ICPC-2 code |
Description |
N=1415 |
Rate per 100 encounters (Total=788) |
K63 |
Encounter, |
644 (11.0) |
18.5 |
A03 |
Fever |
198 (14.0) |
25.1 |
T63 |
Encounter, follow up endocrine/ metabolic |
528 (9.0) |
15.2 |
R05 |
Cough |
174 (12.3) |
22.1 |
A03 |
Fever |
480 (8.2) |
13.8 |
R21 |
Throat symptom/ Complaint |
84 (5.9) |
10.7 |
R05 |
Cough |
477 (8.1) |
13.7 |
R07 |
Sneezing/Nasal congestion |
82 (5.8) |
10.4 |
W30 |
Check up; antenatal |
295 (5.0) |
8.5 |
N01 |
Headache |
55 (3.9) |
7.0 |
R07 |
Sneezing/Nasal congestion |
245 (4.2) |
7.1 |
K63 |
Encounter, |
44 (3.1) |
5.6 |
N01 |
Headache |
141 (2.4) |
4.1 |
D01 |
Pain/Cramps, Abdominal general |
35 (2.5) |
4.4 |
R21 |
Throat symptom/ Complaint |
111 (1.9) |
3.2 |
D10 |
Vomiting |
29 (2.0) |
3.7 |
S02 |
Pruritus |
80 (1.4) |
2.3 |
D11 |
Diarrhoea |
28 (2.0) |
3.6 |
R74 |
Upper respiratory infection, Acute |
79 (1.3) |
2.3 |
A01 |
Pain, General/ Multiple sites |
23 (1.6) |
2.9 |
The percentage of acute cases seen in private clinics was almost double that seen in public clinics (50.0% versus 27% of total RFE respectively) whereas public clinics saw more chronic cases than private clinics (20.0% versus 3.1% of total RFE respectively). There were 33.7 chronic diseases for every 100 encounters in public clinics whilst in private clinics only 5.6 chronic diseases were seen for every 100 encounters.
For the ten most frequent diagnoses using ICPC-2, hypertension, diabetes mellitus, lipid disorder and asthma constituted 49.7 diagnoses per 100 encounters in public clinics whilst hypertension and bronchial asthma constituted 12.3 diagnoses per 100 encounters in private clinics (Table 6). Pregnancy contributed 8.8 diagnoses per 100 encounters in public clinics whereas it did not appear in the ten most frequent diagnoses in private clinics.
Table 6: Ten most frequent diagnoses by ICPC-2 in public and private clinics
| Public | Private |
||||||
|---|---|---|---|---|---|---|---|
ICPC-2 code |
Description |
N=5865 |
Rate per 100 encounters (Total=3474) |
ICPC-2 code |
Description |
N=1415 |
Rate per 100 encounters (Total=788) |
K86 |
Hypertension, Uncomplicated |
849 (16.4) |
24.4 |
R74 |
Upper respiratory infection, Acute |
271 (21.2) |
34.4 |
R74 |
Upper respiratory infection, Acute |
574 (11.1) |
16.5 |
A03 |
Fever |
62 (4.9) |
7.9 |
T90 |
Diabetes, Non-insulin dependent |
536 (10.4) |
15.4 |
K86 |
Hypertension, Uncomplicated |
62 (4.9) |
7.9 |
T93 |
Lipid disorder |
223 (4.3) |
6.4 |
D73 |
Gastroenteritis, presumed infection |
37 (2.9) |
4.7 |
W78 |
Pregnancy |
176 (3.4) |
5.1 |
R96 |
Asthma |
35 (2.7) |
4.4 |
W84 |
Pregnancy high risk |
129 (2.5) |
3.7 |
R05 |
Cough |
33 (2.6) |
4.2 |
R96 |
Asthma |
122 (2.4) |
3.5 |
D87 |
Stomach function disorder |
30 (2.3) |
3.8 |
A03 |
Fever |
121 (2.3) |
3.5 |
N01 |
Headache |
24 (1.9) |
3.0 |
R05 |
Cough |
76 (1.5) |
2.2 |
N17 |
Vertigo/Dizziness |
22 (1.7) |
2.8 |
D87 |
Stomach function disorder |
75 (1.5) |
2.2 |
S88 |
Dermatitis, Contact/Allergic |
22 (1.7) |
2.8 |
There were 60 complaints of backache (0.8% RFE) and 288 (4.0% RFE) of headache/vertigo/dizziness. However, there was no record of psychological problems such as anxiety or depression in public clinics.
This is the first study in Malaysia to concurrently compare the morbidity patterns of public and private primary care clinics nationwide. The response rate in public clinics was 82% and thus the findings would be representative of public clinics. However, the response rate from private clinics was low despite researchers personally approaching general practitioners for consent to participate in the study hence limiting the generalisability of the findings for private clinics. Nevertheless, the findings can provide an insight of the problem.
We found doctors in public clinics saw more chronic and complex diseases as well as pregnancy related complaints while in private clinics more acute and minor illnesses were seen.7 This is similar to findings in Sri Lanka.8 In addition, in Malaysia, it has been shown that the incidence of acute respiratory infection in the community was 18.2% and about half of these were seen in private sectors.9 It is possible that doctors in private clinics were seeing more acute illnesses because their opening hours are longer and are more accessible to the patients. In public clinics, more patients are treated for chronic diseases and one of the reasons could be the heavy subsidy by the Malaysian government for the cost of treatment. The situation is different in Singapore where the private sector treated an almost equal percentage of chronic conditions as the public sector.10 An approach for Malaysian public clinics to cope with the chronic disease workload is to delegate the management of minor ailments to paramedics either at the ‘Klinik Kesihatan’ or via the newly introduced ‘1 Malaysia Clinics’. This could potentially free as much as one-fifth of the physician’s time7 to concentrate on improving the quality of care of patients with chronic diseases.
Problems related to the respiratory system were the most frequent RFE and this trend has remained unchanged from 1982.7 However, conditions seen at a hospital-based general medical clinic in 1982 that involved the digestive system, nervous system, infections, genitourinary system, skin and musculoskeletal system were not as common in this study. Reason for this is beyond the scope of this study although improved community hygiene could be a possibility.7
Our data had shown a low rate of patient encounters for medical check-up in both public and private clinics. As the burden of chronic diseases in Malaysia are increasing, it is imperative to strengthen the preventive component of health care by patient empowerment and structured programs.11,12 We have shown that patients seen were mainly in the 20 to 49 years age group and hence this is a good opportunity to implement screening and prevention strategies. Studies have shown that only half of the GP practices in Malaysia did cervical smear and breast screening although these cancers ranked sixth in the overall burden of disease.11,13 It is therefore crucial to encourage screening in primary care.
The rate of visits for pregnancy related complaints to private clinics were low (5.2 per 100 encounters in private clinic versus 12.3 per 100 encounters in public clinics). This could possibly be attributed to financial reasons as the visits may not be funded by employers and insurance companies. Nevertheless, the reasons can be ascertained in future studies. Pregnancy and pregnancy related complications were the top two principal causes for government hospital admission in 2009 in Malaysia.14 It is therefore important to update the knowledge of primary care doctors in this area to improve the maternal mortality and perinatal mortality rates.
It is intriguing that we found no record of psychological problems of anxiety or depression. Even the complaints of backache, headache, vertigo, dizziness that could raise the possibility of psychosomatic symptoms were less than 5%. This finding is similar to an earlier study.9 The Third National Health and Morbidity Survey (NHMS III) in Malaysia has reported the prevalence of psychiatric morbidity among children and adolescents was 20.3% while it was 11.2%9 for adults. The low prevalence of psychological or psychiatric problems in this study may be due to under-diagnosis and under-recording. Hence, there is a need to train primary care doctors to increase their awareness and knowledge on mental health.
Limitations of this study could be due to under-estimation of the morbidity data due to unidentified patient problems during consultations, recording, diagnosis and coding.15-17 Although almost all diagnoses in private clinics were recorded, a quarter of RFEs were not documented; perhaps reflecting local GPs’ unfamiliarity with recording RFE. This is not unique to Malaysia as this has been noted in developed countries that adopt ICPC for routine data collection in primary care.18,19 It is known that there is general agreement for RFE and diagnoses although there is better agreement for RFE.20 Unlike other disease classifications, the ICPC allows the diagnoses of symptom and complaint which is more relevant in primary care settings and has high inter-observer reliability and secondary coding reliability.21-23 Capturing RFE in ICPC can give rise to error8,24 due to difficulty in interpretation of symptoms and may lead to coding error by research assistants for example when deciding whether the symptom of cough should be coded as upper respiratory tract infection. To reduce this error, researchers checked and verified codes entered by research assistants.
Chronic diseases are burgeoning in Malaysia and will be a major health crisis in the future if effective preventive measures are not initiated. Looking at current trends, the burden of managing chronic diseases lies mainly with the public clinics unless private clinics are provided with support and incentives to share the workload. Hence, the Malaysian government’s plan to integrate public and private health services is timely and should be studied and implemented.
We would like to thank the Ministry of Health Malaysia for funding this project, the Director General of Health for his permission to present this study and all primary care doctors and staff for their invaluable assistance in the data collection. This study was presented as a poster presentation at the 14th Malaysian Family Medicine Specialist Conference in 2010.