March 2009, Volume 31, No. 1
Original Articles

Frequent attenders in New Territories West Region: their characteristics and workload implication

M K Cheung 張文娟, Y S Ng 吳楊城, C W Lo 盧卓偉, T C Law 羅冬姿, Cynthia S Y Chan 陳兆儀, J Liang 梁峻

HK Pract 2009;31:14-22

Summary

Objective: To examine the characteristics of frequent attenders (FA) and their impact on workload in a public primary care setting in Hong Kong.

Design: A retrospective study.

Subjects: Patients attending the general outpatient clinics (GOPCs) in the New Territories West Cluster of the Hospital Authority, Hong Kong.

Main outcome measures: Number and proportion of patients consulting more than 20 occasions in the study clinics from March 2006 to Feb 2007, demographic data, frequency of attendance, presenting problems and duration of sick leaves.

Results: FAs constituted 0.28% of the overall GOPC population, amounting to 2.3% of total attendance. There was a male predominance (59%) among the FAs. There was a statistically significantly larger proportion of young and middle aged adults (aged 15-64 years) in the FA as compared with the paediatric (aged 0-14 years) and elderly (aged 65 or above) groups. They mainly consulted for musculoskeletal and respiratory problems. The average duration of sick leave in the injury on duty (IOD) group was statistically significantly longer than in the non-IOD group (149.02 days vs. 13.79 days, P<0.001).

Conclusion: FAs in our study constituted 8.2 times more workload than average. They were mainly middle-aged married males. IODs were a major reason for frequent consultations. Our study provided a foundation on which to further understand frequent attendance patterns in our locality.

Keywords: Frequent attenders, characteristics, general outpatient clinic

摘要

目的: 研究經常求診者的特徵及其對香港公營基層醫療工作量的影響。

設計: 回顧性研究。

研究對象: 在新界西聯網普通科門診求診的病人。

主要測量內容: 由2006年3月到2007年2月期間在進行研究的診所求診次數多於20次的病人數目及比率,病人普查資料,求診頻率,求診原因和病假長短。

結果: 經常求診者佔病人總數的0.28%並佔總求診次數的2.3%。當中以男性居多。在經常求診者中,年青及中年人士(15-64歲)比幼童(0-14歲)及長者(65歲或以上)為多。他們主要因肌肉骨骼及呼吸系統問題求診。統計學上顯示因工受傷的病假期比非工傷病假期較長(149.02日相對13.79日,p<0.001)。

結論: 在本研究中為經常求診者診治的工作量比平均的多達8.2倍。他們多為中年已婚男性。因工受傷是經常求診的主要原因。本文可為未來研究本地經常求診這課題提供一個基礎。

主要詞彙: 經常求診者,特徵,普通科門診。


Background

In general practice, it has long been known that a small minority of patients consulted very frequently. This group of patients accounts for a disproportionate number of consultations.1-3 Such patients are referred to as 'frequent attenders' (FAs). There is, as yet, no agreement on the most appropriate method of defining frequent attendance.4 Frequent attenders are variously defined based on a specified number of consultations in a fixed time period (ranging form 5 to 20 in one calendar year);5-6 or a cut-off in the distribution of consultation frequency (for example, the population whose consultation frequency is at the top 3% to 10%).7-9

Frequent attenders consume a large proportion of a general practitioner's workload; one study reported that the top 3% of attenders (in terms of frequency) utilized 15% of a GP's clinical workload.7 Other studies reported that frequent attenders accounted for between one-tenth and one-third of a GP's caseload.9

Certain socio-demographic characteristics of frequent attenders had been identified from previous studies.2,9-12 For instance, females and the elderly were more likely to be frequent attenders.6,9,11 Social class, employment status, and ethnicity had also been linked with frequent attendance.10,12,13 Somatisation, physical and psychiatric morbidity were all important factors in determining frequent attendance.2,14,15 Musculoskeletal, respiratory and digestive disorders were found to be the dominant physical diseases in frequent attenders.16-18 A study found that frequent consultations for those with injuries were considered medically appropriate.19 People with multiple co-morbidities were more likely to see their GPs.20,21 However, these studies were mainly conducted in Western industrialized societies. Some were small studies in discrete geographical locations, whose results may be hard to extrapolate to a wider or different community.9,22 Two local studies in Hong Kong addressing frequent attendance were also limited to a single clinic setting.23,24

In our study, we set out to establish and examine the proportion of frequent attenders who attended the General Outpatient Clinics (GOPCs) of the Hong Kong Hospital Authority New Territories West Cluster (NTWC). We aimed to calculate the proportion of clinical workload generated by these patients, and to identify and characterize such frequent attenders. The null hypothesis was that there was no difference between the characteristics of the frequent attender group and those who were classified as non-frequent attenders. With our findings we hoped to be able to plan our future services to better address the needs of these patients and the disproportional workload generated by them.

Methods

In March 2007, a retrospective review was conducted in the seven GOPCs in NTWC. NTWC is one of the seven clusters of the Hospital Authority in Hong Kong with a catchment population of around one million. In 2003, these clinics were fully computerized for patient registration, consultation note, prescription and disease registry for each consultation using ICPC (International Classification of Primary Care, second edition). They provided outpatient primary care service to patients with chronic or episodic illnesses. A consultation fee of HK$45 was charged for each entitled patient. This fee was waived in (1) patients on social assistance, (2) those who were government servants, or (3) those who were the serving employees of and entitled subsidiaries of the Hospital Authority.

Frequent attenders in our study were defined as patients consulting on more than 20 occasions at GOPCs from March 2006 to Feb 2007. There was no agreement on the most appropriate method of defining frequent attendance, and 20 consultations in a year was the upper limit of frequent attenders in current literature. Only doctor's consultations were included. Visits for non-doctor's activities, such as for dressing or injection were not included. No home visits were provided by the study clinics. Administrative consultations, such as childhood immunization or antenatal care were also excluded. Information including age, gender, marital status, payment status, and the number of doctor's consultations were collected from computerized patient records. A review of individual frequent attender's records was conducted by two investigators. Standard coding sheets were developed and the investigators tried these coding sheets on a pilot number of patients.

Outcome measures included demographic data, reason for consultation, and the nature of the problem presented, including sick leave and injury on duty (IOD). Statistical Package for the Social Sciences (SPSS) v15.0 was used for data analysis. Nominal data were analyzed using Pearson's chi-square test. Ordinal data were analyzed using two-tailed t test.

Results

Workload

A total of 552 patients fulfilled the criteria of frequent attenders (FAs), contributing to a total of 15 841 attendances. Since the total number of patients in NTWC GOPCs during the study period was 194 078 and the total number of attendance for the study period was 689 563, FAs constituted 0.28% of patients attending the study clinics, and 2.3% of total attendances in this study period. Among these FAs, two patients attended more than 20 times each. 424 patients attended mainly one single clinic. 126 patients visited two or more clinics, and while their attendance at a single clinic may not be frequent, they had a total attendance of >20 times when adding up all attendances from various clinics.

Frequency

The overall average number of visits per patient in NTWC GOPCs during the study period was 3.6. The average number of visits for the subgroup of FAs was 29. The average number of visits for the subgroup of non-FAs was 3.5 (Figure 1).

Demographic characteristics of frequent attenders

While there was a male predominance in FA, there was a female predominance in non-FA, and this difference was statistically significant (Table 1).

The mean age of FA was 44 years. Dividing patients into paediatrics (0-14 years), young/adult/middle aged (15-65 years) and elderly (>65 years old), there is a young/adult/middle aged predominance for both FAs and non-FAs. However, FAs have a smaller proportion of paediatric and elderly patients, and this difference is statistically significant (Table 1).

A total of 68% of FAs were eligible for having their consultation fees waived, this is in contrast to non-FAS who were predominantly paying patients. The difference is statistically significant (Table 1).

Presenting symptoms and diagnoses

The average number of chief complaints presented by FAs during a consultation was 1.96. The range was from one to nine complaints. 71% of FA presented with more than one complaint.

The top five most frequently coded ICPC categories among FAs were musculoskeletal (L), respiratory (R), cardiovascular (K), digestive (D) and skin (S). (Figure 2).

Injury on duty (IOD) vs Non-IOD

Among the 522 FAs, 164 attendances were IOD related. Both the IOD group and non-IOD group had a male predominance. None from the IOD group were from the paediatric or elderly group, while only 67.3% of non-IOD group were adults. The difference in age distribution is statistically significant (Table 2). A high proportion of IOD group (75.6%) had to pay for their consultations while the majority of non-IOD group (86.9%) were waivers. This difference is statistically significant (Table 2). The average number of visits by the IOD group and non-IOD was 35.4 and 25.9 respectively, again reaching statistical significance (Table 2).

Issuing of sick leave

314 FAs were issued with sick leave during the study period. Among them, 164 patients were for IOD, 150 patients were for other reasons. 254 patients were given more than 12 days of sick leave. Among these, 162 patients were for IOD, and 92 patients were for non-IOD problems. The average duration of sick leave in the IOD group was statistically significantly longer than in non-IOD group (149.02 days vs. 13.79 days respectively P<0.01) (Table 2).

Discussion

Workload implication

Although frequent attenders only constituted 0.28% of patients in the study period, they contributed to 2.3% of the total attendance. That is, they generated 8.2 times more workload to the clinics than average. This is indeed a significant proportion, and our findings are consistent with the findings of previous studies.9

Characteristics of frequent attenders

FA in our study were mainly males, married and middle aged. Their main presentation was musculoskeletal problems. Many of them were on social assistance. We could not find any Western studies looking specifically into the issue of IOD. The inclusion of such group will give a more comprehensive picture, while the exclusion of this group will eliminate the influence exerted by this particular subgroup of FAs. When only non-IOD FAs were considered, male, adult and married FA still predominated. The proportion of patients on social assistance was even higher in non-IOD FAs. These findings are different from those in studies conducted in Western countries in which the majority of FAs were females, single and elderly.7,10,12,25 We believe that such differences are due to a number of factors as discussed below.

1. Disease factors

Chronic back pain affecting work and associated IODs are known to be difficult management problems.19 Since these are mainly working-aged males, this may explain why middle-aged males predominated in our study. Previous studies26-30 showed that underlying psychosocial problems were a major contributing factor for frequent attendance. However, psychosocial problems were not prominent in our study. In the other two local studies,24,31 the major diagnoses were also physical illnesses. We speculate that the reason for this phenomenon could be because psychosocial problems may present as somatic complaints, and the busy GOPC doctor may only have time to deal with the physical complaints, without exploring the more complex underlying psychosocial problems.

Patients with injury on duty are also common. The most frequent attender had 106 clinic visits in the study year. Indeed, a large proportion of frequent attenders were patients wanting prolonged sick leave, or frequent refill of medications.

Some patients frequently visit GOPCs for minor ailments and medications for symptomatic relief. This could be that they do not have adequate knowledge of their symptoms and the appropriate management. Such patients may benefit from efforts to bridge their knowledge gap.

2. Financial factors

In Hong Kong, patients attending GOPC are heavily subsidized. If the patient is on social assistance, the token fee is waived. On the other hand, a patient may need to pay several hundred to several thousand dollars per visit if he consults a private doctor. Accident and Emergency Department could be an alternative, but patients now need to pay HK$100 per A&E visit and need to wait for a longer time if their condition is non-urgent. Therefore, patients with frequent attendance may find GOPC an inexpensive location for a consultation. Indeed, half of FAs in our study were on social assistance. Seeking free or relatively inexpensive GOPC service may be the only method of help that they know of, have access to or can afford.

3. System factors at GOPCs

In the GOPCs studied, a doctor has to see 84 patients a day. The contact time allowed for each patient is short and the time pressure on the doctor is huge. The doctors may have little time to further explore and then manage the underlying reasons for the frequent attendance. A continuation of symptomatic relief treatment and extension of sick leave may seem to be a more effective option to some of the doctors under this situation.

Moreover, most GOPC doctors have to work "on shift" nowadays. That is, on top of day time clinic duties, they need to share evening clinic, Sunday clinic and public holiday clinic duties. Therefore, patients may see different doctors on GOPC visits. As a result, doctor's effort to continuously manage a patient's psychosocial problems may be inadequate.

What can be done to help?

Several attempts have been made to tackle frequent attendance, and the outcomes are variable. A British study showed that although frequent attenders often have multiple problems, prominently displayed summaries of their history for use by doctors during consultation do not reduce the frequency of consutation.32 An Israeli team set up a multidisciplinary clinic which involved family physicians with training in psychotherapy, senior psychiatrist and medical social workers. They reported that such interventions helped to modify illness behaviour, decreasing costs of medical investigations.27

How one should determine need as compared to demand of consultations is a challenging issue. There is also a possibility that frequent consultations in primary care might have saved more expensive specialist consultations and hospital admissions. Therefore, more detailed assessment of frequent attenders is needed in order to identify potentially modifiable factors contributing to frequent attendance, and to initiate appropriate intervention. A change in the healthcare system, in the setting of GOPC, in the doctor's and patient's behaviour is needed to address the issue of frequent attendance. Specific measures should be developed according to the characteristics and health needs of frequent attenders in the locality.

Our study has a number of limitations. Firstly, medical records were used retrospectively for data collection. However, since details of patient's demographic data, consultation, investigations and final diagnosis are generally well recorded in our computer system, we believe that this is not a big problem. Secondly, we used 20 consultations within a year as a cut-off threshold. While this ensures that we isolated a group that was definitely frequent attenders, the characteristics of this group of patients may be different from those in studies which have a lower threshold. Thirdly, as we mainly studied frequent attenders in a public primary care setting in the northwestern region of Hong Kong, the findings cannot be generalized to other primary care settings in other regions. However, the analysis of our FA data is comprehensive, as we included FAs who attended more than one clinic in the same cluster.

Conclusion

In this study, we found that frequent attenders consumed a 8.2-fold increase in the number of consultations than average. They were mainly middle-aged married males with musculoskeletal problems. IODs were a major reason for the frequent visits. This finding is different from those in Western countries. A number of possible reasons were put forward for this phenomenon. Our study is by far the largest study looking at frequent attendance in the public primary care setting in Hong Kong, but it is only the start of a process to find out and, if possible, modify factors that will influence the use of resources. In response to our findings, we are planning to set up special clinics to provide more comprehensive assessment and intervention for this group of patients. Future directions may also include qualitative studies to seek the reasons behind frequent consultations to establish if the interventions are appropriately targeted.

Key messages

  1. Frequent attendance is a well-known and common phenomenon in general practice. They account for a disproportionate number of consultations and consume a large proportion of a doctor's workload.
  2. Middle-aged, married males were the majority of frequent attenders in our study.
  3. Musculoskeletal, respiratory, cardiovascular, digestive and skin problems were the top five presenting complaints from frequent attenders. Injury on duty is an important subgroup for frequent attendance.
  4. Disease factors, financial factors and system factors at GOPC contribute to the pattern of frequent attendance.
  5. Specific strategies for assessment and intervention are needed to address the health needs of frequent attenders.


M K Cheung, FHKCFP, FHKAM (Family Medicine)
Associate Consultant,

Y S Ng, FHKCFP, FHKAM (Family Medicine)
Associate Consultant,

CW Lo, MBChB
Medical Officer,

J Liang, FHKCFP, FHKAM (Family Medicine)
Consultant
Department of Family Medicine, New Territory West Cluster, Hospital Authority.

T C Law, FHKCFP FHKAM (Family Medicine)
Resident Specialist,
Department of Family Medicine, Kowloon Central Cluster, Hospital Authority.

Cynthia S Y Chan, LMCHK, MD (Canada), FHKAM (Family Medicine), FRACGP
Specialist in Family Medicine

Correspondence to : Dr M K Cheung, Yan Oi General Outpatient Clinic, G/F, 6 Tuen Lee Street, Tun Mun, NT, Hong Kong SAR.

Email: cheungmk1@ha.org.hk


References
  1. Gill D, Dawes M, Sharpe M, et al. GP frequent consulters: their prevalence, natural history, and contribution to rising workload. Br J Gen Pract 1998; 48:1856-1857.
  2. Baez K, Aiarzaguena JM, Grandes G, et al. Understanding patient-initiated frequent attendance in primary care: case control study. Br J Gen Pract 1998; 48:1824-1827.
  3. Neal RD, Dowell AC, Heywood PL, et al. Frequent attenders: who needs treatment? Br J Gen Pract 1996;46:131-132.
  4. Vedsted P, Christensen M. Frequent attenders in general practice care: a literature review with special reference to methodological considerations. Public Health 2005;119:118-137.
  5. Britten N, Jones R, Murphy E, et al. Qualitative research methods in general practice and primary care. Fam Pract 1995;12:104-114.
  6. Neal RD, Heywood PL, Morley S. 'I always seem to be there' - a qualitative study of frequent attenders. Br J Gen Pract 2000;50:716-723.
  7. Neal RD, Heywood PL, Morley S, et al. Frequency of patients?consulting in general practice and workload generated by frequent attenders: comparisons between practices. Br J Gen Pract 1998;48:895-898.
  8. Neal RD, Heywood PL, Morley S. Frequent attenders?consulting patterns with general practitioners. Br J Gen Pract 2000;50:972-976.
  9. Heywood PL, Blackie GC, Cameron IH, et al. An assessment of the attributes of frequent attenders to general practice. Fam Pract 1998;15:198-204.
  10. Scaife B, Gill PS, Heywood PL, Neal RD. Socioeconomic characteristics of adult frequent attenders in general practice: secondary analysis of data. Fam Pract 2000;17:298-304.
  11. Carney TA, Guy S, Jeffrey G. Frequent attenders in general practice: a retrospective 20-year follow-up study. Br J Gen Pract 2001;51:567-569.
  12. Carr-Hill RA, Rice N, Roland M. Socioeconomic determinants of rates of consultation in general practice based on fourth national morbidity survey of general practices. BMJ 1996;312:1008-1012.
  13. Foster A, Jordan K, Croft P. Is frequent attendance in primary care disease-specific? Fam Pract 2006;23:444-452.
  14. Campbell SM, Roland MO. Why do people consult the doctor? Fam Pract 1996;13:75-83.
  15. Sensky T, MacLeod AK, Rigby MF. Causal attributions about common somatic sensations among frequent attenders of general practice. Soc Psychiatry Psychiatr Epidemiol 1996;31:29-37.
  16. Bellon J, Delgado A, Luna J, et al. Psychosocial and health belief variables associated with frequent attendance in primary care. Psychol Med 1999;29:1347-1357.
  17. Andersson S, Mattsson B, Lynoe N. Patients frequently consulting general practitioners at a primary health care centre in Sweden ?a comparative study. Scand J Soc Med 1995;23:251-257.
  18. Browne G, Humphrey B, Pallister R, et al. Prevalence and characteristics offrequent attenders in a prepaid Canadian family practice. J Fam Pract 1982;14:63-71.
  19. Bergh H, Baigi A, Marklund B. Consultations for injuries by frequent attenders are found to be medically appropriate from general practitioners?perspective. Scandinavian Journal of Public Health 2005;33(3):228-232.
  20. Wilson T, Buck D, Ham C. Rising to the challenge: will the NHS support people with long term conditions? BMJ 2005;330:657-661.
  21. Townsend A, Wyke S, Hunt K. Frequent consulting and multiple morbidity: a qualitative comparison of igh?and ow?consulters of GPs. doi:10.1093/fampra/cmn017.
  22. Karlsson H, Lehtinen V, Joukamaa M. Frequent attenders of Finnish public primary health care: sociodemographic characteristics and physical morbidity. Fam Pract 1994;11:424-430.
  23. Oowd TC. Five years of heartsink patients in general practice. BMJ 1988; 297:528-530.
  24. Fu SN, Chan YH, Luk W, et al. Patient characteristics and disease profile of frequent attenders in a general outpatient clinic. HK Pract 2007;29:180-187.
  25. Gill D, Sharpe M. Frequent consulters in general practice: a systematic review of studies of prevalence, associations and outcome. J Psychosomatic Research 1999;47:115-130.
  26. Bellon JA, Delgado A, De Dios Luna J, et al. Psychosocial and health belief variables associated with freqeunt attendance in primary care. Psychological Medicine 1999;29(6):1347-1357.
  27. Matalon A, Nahmani T, Rabin S, et al. A short-term intervention in a multidisciplinary referral clinic for primary care frequent attenders: description of the model, patient characteristics and their use of medical resources. Fam Pract 2002;19:251-256.
  28. Dowrick CF, Bellon JA, Gomez MJ. GP frequent attendance in Liverpool and Granada: the impact of depressive symptoms. Br J Gen Pract 2000;50:361-365.
  29. Vedsted P, Fink P, Olesen F, et al. Psychological distress as a predictor of frequent attendance in family practice. Psychosomatics 2001;42:416-422.
  30. Menchetti M, Cevenini N, De Ronchi D, et al. Depression and frequent attendance in elderly primary care patients. Gen Hosp Psych 2006;28:119-124.
  31. Leung KW, Tsui WS, Chu WS. Survey on frequent attenders ?a study to analyze the associations between frequency of attendance and chronic illness and socio-economic factors in an outpatient clinic. HK Pract 2007;29:189-198.
  32. Jiwa M. Frequent attanders in general practice: an attempt to reduce attendance. Fam Pract 2000;17:248-251.