Predictability of persistent frequent attendance: a historic 3-year cohort study

Frequent attenders in primary health care: a mixed-methods study of patient and staff perspectives

AIMS AND OBJECTIVE

To understand the frequent attendance phenomenon from the perspective of patients and healthcare professionals and how it can be reduced.

BACKGROUND

Frequent attenders (FAs) are characterised by the consumption of a disproportionate number of medical consultations and a high number of visits per year to primary care physicians (PCP). Although FAs constitute about 10% of all primary clinic attendees, they are responsible for ~40-50% of clinic visits, affecting the efficiency, accessibility and quality of health services provided to other patients.

DESIGN

Mixed methods (STROBE Statement: Data S1; COREQ checklist: Data S2).

METHODS

Eighteen FAs were interviewed in a qualitative approach. PCPs and nurses (n = 184) completed a cross-sectional survey.

RESULTS

FAs are driven by their personal, emotional and mental state. FAs viewed clinics as a source for information and resolving medical problems. They perceived PCPs as authoritative and knowledgeable, and nurses as treatment managers and mediators between PCPs and patients. In contrast, FAs evoked more negative emotions than positive ones among medical staff. PCPs and nurses attributed frequent visits to FAs' personal and emotional states. A model based on the findings was constructed to provide a framework for grasping frequent attendance from a sociological perspective and for planning and managing it.

CONCLUSIONS

The accessibility and availability of health services at primary clinics, and collaboration and trust in medical staff facilitate the frequent attendance phenomenon.

RELEVANCE TO CLINICAL PRACTICE

The frequent attendance phenomenon should be proactively prevented, even before patients become FA, using the model constructed, which serves as a foundation for introducing an intervention program to identify and prevent frequent attendance. PCPs and nurses working in primary care clinics should be made aware of the FA phenomenon and should be educated and given tools to deal with it within the clinic. The process should be facilitated by organisational support.

PATIENT OR PUBLIC CONTRIBUTION

There was no patient or public contribution to the design or conduct of the study, analysis or interpretation of the data, or in the preparation of the manuscript.

Development and internal validation of prediction models for future hospital care utilization by patients with multimorbidity using electronic health record data

Objective

To develop and internally validate prediction models for future hospital care utilization in patients with multiple chronic conditions.

Design

Retrospective cohort study.

Setting

A teaching hospital in the Netherlands (542 beds)

Participants

All adult patients (n = 18.180) who received care at the outpatient clinic in 2017 for two chronic diagnoses or more (including oncological diagnoses) and who returned for hospital care or outpatient clinical care in 2018. Development and validation using a stratified random split-sample (n = 12.120 for development, n = 6.060 for internal validation).

Outcomes

≥2 emergency department visits in 2018, ≥1 hospitalization in 2018 and ≥12 outpatient visits in 2018.

Statistical analysis

Multivariable logistic regression with forward selection.

Results

Evaluation of the models’ performance showed c-statistics of 0.70 (95% CI 0.69–0.72) for the hospitalization model, 0.72 (95% CI 0.70–0.74) for the ED visits model and 0.76 (95% 0.74–0.77) for the outpatient visits model. With regard to calibration, there was agreement between lower predicted and observed probability for all models, but the models overestimated the probability for patients with higher predicted probabilities.

Conclusions

These models showed promising results for further development of prediction models for future healthcare utilization using data from local electronic health records. This could be the first step in developing automated alert systems in electronic health records for identifying patients with multimorbidity with higher risk for high healthcare utilization, who might benefit from a more integrated care approach.

Managing high frequency users of an electronic consultation system in primary care: a quality improvement project

The COVID-19 pandemic prompted a rapid change in primary care provision. There was a significant shift from face-to-face appointments to remote methods such as electronic consultation (e-consultation). Patients from a primary care provider in London were actively encouraged to use an online consultation platform called ‘Dr iQ’. A group of high frequency users of Dr iQ emerged and clinicians were concerned their health needs were not being met through the platform. High frequency attendance in a traditional general practice setting is associated with increased time and healthcare costs.

This project evaluated the number of high frequency users (identified as 10 or more consultations a month) of Dr iQ in one busy inner city practice over a 5-month period. We aimed to decrease the subsequent monthly usage frequency of all Dr iQ high frequency users from 10 or more consultations to less than 10 consultations. Our interventions included a semi-structured telephone interview, discussion among the multidisciplinary team, and regular scheduled telephone or face-to-face appointments. Following two Plan–Do-Study–Act cycles, all 12 high frequency users showed a decrease in the number of consultations submitted to Dr iQ to less than 10 consultations a month.

This project proposes a method of case managing high frequency users of e-consultation. The majority of high frequency users had unmet health needs and felt a lack of continuity of care on Dr iQ. They often had complex physical and mental health problems. As remote consulting technology continues to develop, more research is required to understand the epidemiology and aetiology of e-consultation high frequency use in order to improve patient outcomes.

A 3-Month Naturalistic Follow-Up Treatment With Selective Serotonin Reuptake Inhibitors in Frequent Attenders of General Medical Practice: What Correlates With a Good Response?

ABSTRACT

Frequent attenders (FAs), defined as patients repeatedly attending general practitioners, frequently exhibit underdiagnosed psychiatric comorbidities, leading to the hypothesis that frequent attendance may be related to an undetected psychiatric burden. This study explores the role of psychiatric comorbidities and psychopharmacological treatment on the clinical outcomes of a cohort of FAs of the general medical practice in Italy. The study included 75 FAs assessed by the Structured Clinical Interview for DSM-5, Clinical Global Impression, Global Assessment Functioning, and Illness Behavior Inventory, administered at baseline (T0) and after 3 months (T1). Data were analyzed on the bases of the presence of any mental disorder and selective serotonin reuptake inhibitor (SSRI) treatment, with respect to other psychopharmacological treatments. Results showed better outcomes among patients with a mental disorder, particularly anxiety, depression, and somatic symptoms disorders, and when under SSRI treatment. Our findings corroborate the role of psychiatric comorbidity on frequent attendance in the context of general clinical practice with a positive outcome when receiving appropriate treatment with SSRI.

Determinants of Frequent Attendance in Primary Care. A Systematic Review of Longitudinal Studies

Introduction: There is a lack of a systematic review synthesizing longitudinal studies investigating the determinants of frequent attendance in primary care. The goal of our systematic review was to fill this gap in knowledge.

Methods: Three electronic databases (Medline, PsycINFO, and CINAHL) were searched. Longitudinal observational studies analyzing the predictors of frequent attendance in primary care were included. Data extraction covered methods, sample characteristics, and main findings. Selection of the studies, extracting the data and evaluation of study quality was performed by two reviewers. In the results section, the determinants of frequent attendance were presented based on the (extended) Andersen model.

Results: In total, 11 longitudinal studies have been included in our systematic review. The majority of studies showed that frequent attendance was positively associated with the predisposing characteristics lower age, and unemployment. Moreover, it was mainly not associated with enabling resources. Most of the studies showed that need factors, and in particular worse self-rated health, lower physical functioning and physical illnesses were associated with an increased likelihood of frequent attendance. While most studies were of good quality, several of the included studies did not perform sensitivity analysis or described how they dealt with missing data.

Discussion: Our systematic review showed that particularly lower age, unemployment and need factors are associated with the likelihood of becoming a frequent attender. Enabling resources are mainly not associated with the outcome measure. Future research should concentrate on the determinants of persistent frequent attendance due to the high economic burden associated with it.

Continuity of care as a predictor of ongoing frequent attendance in primary care: a retrospective cohort study

BACKGROUND

Frequent attenders (FAs) in primary care receive considerable resources with uncertain benefit. Only some FAs attend persistently. Modestly successful models have been built to predict persistent attendance. Nevertheless, an association between relational continuity of care and persistent frequent attendance remains unclear, and could be important considering both the UK government and Royal College of General Practitioner's (RCGP) aim of improving continuity.

AIM

To identify predictive measures (including continuity) for persistent frequent attendance that may be modified in future interventions.

DESIGN & SETTING

This is a retrospective cohort study sampling 35 926 adult patients registered in seven Bristol practices.

METHOD

The top 3% (1227) of patients by frequency of GP consultations over 6 months were classed as FAs. Individual relational continuity was measured over the same period using the Usual Provider Continuity (UPC) index. Attendance change was calculated for the following 6 months. Multivariable logistic regression analysis was used to determine variables that predicted attendance change.

RESULTS

FAs were on average 8.41 years older (difference 95% confidence interval [CI] = 7.33 to 9.50, P<0.001) and more likely to be female (65.36% versus 57.88%) than non-FAs. In total, 79.30% of FAs decreased attendance over the subsequent 6 months. No association was found between continuity and subsequent attendance. Increasing age was associated with maintained frequent attendance.

CONCLUSION

Continuity does not predict change in frequent attendance. In addition to improving continuity, recent government policy is focused on increasing primary care access. If both aims are achieved it will be interesting to observe any effect on frequent attendance.

Exploring the health and service utilisation of general practice patients with a history of adverse childhood experiences (ACEs): an observational study using electronic health records

OBJECTIVES

To examine the relationships between adverse childhood experiences (ACEs), chronic health and health service utilisation among a sample of general practice patients.

DESIGN

Cross-sectional observational study using anonymised data from electronic health records for 763 patients.

SETTING

Four general practices in northwest England and North Wales.

OUTCOME MEASURES

Patient demographic data (age, gender); body mass index; self-reported smoking status; self-reported ACEs; diagnosis of chronic health conditions; current mental health problems; total number of service contacts and repeat medication use in the previous 6 months.

RESULTS

A history of ACEs (experiencing abuse or neglect as a child, and/or growing up in a household characterised by violence, substance use, mental health problems or criminal behaviour) was strongly independently associated with current mental health problems, smoking and chronic obstructive pulmonary disease, showing a dose-response relationship with level of ACE exposure. Medication use and contact were significantly greater among patients with high ACE exposure (≥4 ACEs), compared with those with no ACEs. However, contrary to findings from population studies, health service utilisation was not significantly different for patients with increased ACE exposure (1-3 ACEs) and their ACE-free counterparts.

CONCLUSIONS

Findings highlight the contribution ACEs make to unequal distributions of risk to health and well-being and patterns of health service use in the UK.

Association between socioeconomic position and occupational health service utilisation trajectories among young municipal employees in Finland

OBJECTIVES

To identify groups of municipal employees between the ages of 20 and 34 years with distinct utilisation trajectories of primary care services provided by occupational health service (OHS), measured as the annual number of OHS visits, and to identify demographic and socioeconomic risk factors that distinguish employees in the high utilisation trajectory group(s).

METHODS

The present study is a retrospective register-based cohort study. All municipal employees of the City of Helsinki, Finland, aged 20-34 in the Helsinki Health Study, recruited from 2004 to 2013, with follow-up data for 4 years were included in the study (n=9762). The outcome measure was group-based trajectories of OHS utilisation, identified with a group-based trajectory analysis. The demographic and socioeconomic variables used to predict the outcome were age, first language, educational level and occupational class. The analyses were stratified by gender.

RESULTS

A large proportion of the young employees do not use OHS. Trajectory groups of 'No visits' (50%), 'Low/increasing' (18%), 'Low/decreasing' (22%) and 'High/recurrent' (10%) use were identified. We found occupational class differences in OHS utilisation patterns showing that lower occupational classes had a higher propensity for 'High/recurrent' OHS utilisation for both genders.

CONCLUSIONS

Preventive measures should be targeted particularly to the trajectory groups of 'Low/increasing' and 'High/recurrent' in order to intervene early. In addition, OHS utilisation should be closely monitored among the two lowest occupational classes. More research with longitudinal OHS data is needed.

Frequent attenders at risk of disability pension: a longitudinal study combining routine and register data

Aims: Frequent attendance in healthcare services is associated with ill-health and chronic illnesses. More information is needed about the phenomenon's connection with disability pensions (DPs). Methods: The study group comprised 59,676 patients divided into occasional- (1yFAs) and persistent frequent attenders (pFAs) and non-frequent attenders (non-FAs). Odds ratios for DP were analysed for these groups taking into account preceding sickness absence days. The awarded DPs were obtained from the Finnish Centre for Pensions and data on primary care visits were obtained from Pihlajalinna, a nationwide occupational healthcare provider. Results: 1yFAs and pFAs have more DPs than non-FAs. During follow-up, 14.9% of pFAs, 9.6% of 1yFAs and 1.6% of non-FAs had a DP decision of any kind. pFAs receive more partial and fixed-term decisions than the other groups and most permanent DPs are granted to 1yFAs. Musculoskeletal disorders are the most common reason for illness-based retirement in all groups but 1yFAs and pFAs have proportionally more mental disorders leading to DP. The group of non-FAs, on the other hand, has more DPs granted based on neoplasms. Both 1yFAs and pFAs have an increased risk of DP but the effect is diluted after taking into account preceding sick-leave. Conclusions: Frequent attendance of healthcare services, both occasional and persistent, is associated with increased risk of future DP. The association is linked to increased sickness absences. Frequent attenders should be identified and their rehabilitative needs evaluated. Frequency of consultation could be used in selecting candidates for early rehabilitation before sickness absences develop.

Occasional and persistent frequent attenders and sickness absences in occupational health primary care: a longitudinal study in Finland

OBJECTIVES

Frequent attenders (FAs) create a substantial portion of primary care workload but little is known about FAs' sickness absences. The aim of the study is to investigate how occasional and persistent frequent attendance is associated with sickness absences among the working population in occupational health (OH) primary care.

SETTING AND PARTICIPANTS

This is a longitudinal study using medical record data (2014-2016) from an OH care provider in Finland. In total, 59 676 patients were included and categorised into occasional and persistent FAs or non-FAs. Sick-leave episodes and their lengths were collected along with associated diagnostic codes. Logistic regression was used to analyse associations between FA status and sick leaves of different lengths (1-3, 4-14 and ≥15 days).

RESULTS

Both occasional and persistent FA had more and longer duration of sick leave than non-FA through the study years. Persistent FAs had consistently high absence rates. Occasional FAs had elevated absence rates even 2 years after their frequent attendance period. Persistent FAs (OR=11 95% CI 7.54 to 16.06 in 2016) and occasional FAs (OR=2.95 95% CI 2.50 to 3.49 in 2016) were associated with long (≥15 days) sickness absence when compared with non-FAs. Both groups of FAs had an increased risk of long-term sick leaves indicating a risk of disability pension.

CONCLUSION

Both occasional and persistent FAs should be identified in primary care units caring for working-age patients. As frequent attendance is associated with long sickness absences and possibly disability pensions, rehabilitation should be directed at this group to prevent work disability.

Characteristics of Elderly Frequent Attendees in Slovene Family Medicine Practices - a Cross-sectional Study

Introduction:

Frequent attendance in family medicine practices is associated with elderly patients and those with chronic diseases. Longstanding frequent attendees have more social and psychiatric problems, medically unexplained conditions, and chronic diseases, and are prescribed more psychotropic drugs and analgesics.

Aim:

To fill the lack of data on the factors associated with frequent attendance at family medicine practices by the elderly.

Methods:

Forty family physicians (FPs) participated in this cross-sectional study in 2017 and randomly recruited up to 20 of their patients; 624 patients were recruited. From the patients’ health records, the FPs collected demographic data, lifestyle factors, all the patients’ diagnoses, all the drugs prescribed in the previous 12 months, multi-morbidity (CIRS-G index), the quality of life index (EQ-5D) and the number of visits to the family medicine practice in the previous 12 months. The Self-Rating Depression Scale was administered to the patients. Statistical analysis was carried out using the IBM SPSS 20.0 package, with appropriate non-parametric tests (Mann-Whitney U test, chi-square test) to check significant differences between groups of patients. Multivariate modelling was carried out to evaluate the associations between the number of visits to the FP and independent variables.

Results:

The number of prescribed drugs (p=0.026), haematological problems (p=0.005) and genitourinary problems (p=0.001) were associated with frequent attendance. Patients with borderline depression were approximately three times more likely to be frequent attendees than non-depressed patients.

Conclusion:

Polypharmacy, haematological and genitourinary problems are associated with frequent attendance in elderly patients. Further longitudinal studies are required to validate our findings.

Frequent attenders at primary care out-of-hours services: a registry-based observational study in Norway

Background

Out-of-hours (OOH) services are often consulted for problems that are non-urgent. Some of these patients are frequent attenders (FAs) who may constitute a heavy burden on the OOH service. The aim of the present study was to analyse FAs in a comprehensive material, covering all patients who have visited OOH services in Norway during a 10-year period.

Methods

FA was defined as a patient having ≥5 consultations during one year. A cohort of all 15,172 FAs in 2008 was followed until 2017, with a description of demographics, consultations, and diagnoses for each year. FAs in 2017 were also analysed with more extreme definitions (≥10, ≥20, ≥30 consultations). To analyse predictors for FA a logistic regression analysis was performed on the 2017 data.

Results

FAs constituted 2% of all patients (U-shaped age curve and female overrepresentation) and approximately 10% of all consultations each year. 59.8% of the cohort was never FA again, 17.7% had one relapse, 8.6% two, and 4.4% had three relapses. 22.8% was also a FA in 2009. Thereafter the percentage gradually declined to 6.2% in 2017. Only 0.8% of the original cohort were persistent FAs throughout the 10-year period. FAs were three times as likely to be given a psychological diagnosis as the average OOH patient, and this percentage increased in persistent and more extreme FAs. FAs tended to seek help at inconvenient hours (late evening and night), and increasingly so the more extreme they were. Also, they needed more consultation time and more often received home visits. The logistic regression analysis identified the following predictors for becoming FA (odds ratio = OR): Female (OR 1.17), age 0–1 years (OR 3.46), age 70+ (OR 1.57), small municipality (OR 1.61), psychological diagnosis (OR 10.00), social diagnosis (OR 5.97), cancer (OR 6.76), diabetes (OR 4.65), and chronic obstructive pulmonary disease (OR 7.81).

Conclusions

FAs were most common among the youngest children and among the elderly, increasing with age. Females were overrepresented, as were patients with psychosocial problems and various chronic somatic conditions. The majority were only temporary FAs.

Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis

BACKGROUND

Addressing the causes of low engagement in health care is a prerequisite for reducing health inequalities. People who miss multiple appointments are an under-researched group who might have substantial unmet health needs. Individual-level patterns of missed general practice appointments might thus provide a risk marker for vulnerability and poor health outcomes. We sought to ascertain the contributions of patient and practice factors to the likelihood of missing general practice appointments.

METHODS

For this national retrospective cohort analysis, we extracted UK National Health Service general practice data that were routinely collected across Scotland between Sept 5, 2013, and Sept 5, 2016. We calculated the per-patient number of missed appointments from individual appointments and investigated the risk of missing a general practice appointment using a negative binomial model offset by number of appointments made. We then analysed the effect of patient-level factors (including age, sex, and socioeconomic status) and practice-level factors (including appointment availability and geographical location) on the risk of missing appointments.

FINDINGS

The full dataset included information from 909 073 patients, of whom 550 083 were included in the analysis after processing. We observed that 104 461 (19·0%) patients missed more than two appointments in the 3 year study period. After controlling for the number of appointments made, patterns of non-attendance could be differentiated, with patients who were aged 16-30 years (relative risk ratio [RRR] 1·21, 95% CI 1·19-1·23) or older than 90 years (2·20, 2·09-2·29), and of low socioeconomic status (Scottish Index of Multiple Deprivation decile 1: RRR 2·27, 2·22-2·31) significantly more likely to miss multiple appointments. Men missed fewer appointments overall than women, but were somewhat more likely to miss appointments in the adjusted model (1·05, 1·04-1·06). Practice factors also substantially affected attendance patterns, with urban practices in affluent areas that typically have appointment waiting times of 2-3 days the most likely to have patients who serially miss appointments. The combination of both patient and practice factors to predict appointments missed gave a higher pseudo R² value (0·66) than models using either group of factors separately (patients only R²=0·54; practice only R²=0·63).

INTERPRETATION

The findings that both patient and practice characteristics contribute to non-attendance of general practice appointments raise important questions for both the management of patients who miss multiple appointments and the effectiveness of existing strategies that aim to increase attendance. Addressing these issues should lead to improvements in provision of services and public health.

FUNDING

Scottish Government Chief Scientist Office and Data Sharing and Linkage Service of the Scottish Government.

Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort

INTRODUCTION

Understanding the causes of low engagement in healthcare is a pre-requisite for improving health services' contribution to tackling health inequalities. Low engagement includes missing healthcare appointments. Serially (having a pattern of) missing general practice (GP) appointments may provide a risk marker for vulnerability and poorer health outcomes.

METHODS AND ANALYSIS

A proof of concept pilot using GP appointment data and a focus group with GPs informed the development of missed appointment categories: patients can be classified based on the number of appointments missed each year. The full study, using a retrospective cohort design, will link routine health service and education data to determine the relationship between GP appointment attendance, health outcomes, healthcare usage, preventive health activity and social circumstances taking a life course approach and using data from the whole journey in the National Health Service (NHS) healthcare. 172 practices will be recruited (∼900 000 patients) across Scotland. The statistical analysis will focus on 2 key areas: factors that predict patients who serially miss appointments, and serial missed appointments as a predictor of future patient outcomes. Regression models will help understand how missed appointment patterns are associated with patient and practice characteristics. We shall identify key factors associated with serial missed appointments and potential interactions that might predict them.

ETHICS AND DISSEMINATION

The results of the project will inform debates concerning how best to reduce non-attendance and increase patient engagement within healthcare systems. Significant non-academic beneficiaries include governments, policymakers and medical practitioners. Results will be disseminated via a combination of academic outputs (papers, conferences), social media and through collaborative public health/policy fora.

Is frequent attendance of longer duration related to less transient episodes of care? A retrospective analysis of transient and chronic episodes of care

OBJECTIVES

Frequent attenders (FAs) suffer more and consult general practitioners (GPs) more often for chronic physical and psychiatric illnesses, social difficulties and distress than non-FAs. However, it is unclear to what extent FAs present transient episodes of care (TECs) compared with non-FAs.

DESIGN

Retrospective analysis of all episodes of care (ECs) in 15 116 consultations in 1 year. Reasons for encounter (RFEs) linked to patients' problem lists were defined as chronic ECs (CECs), other episodes as TECs.

SETTING

1 Dutch urban primary healthcare centre served by 5 GPs.

PARTICIPANTS

All 5712 adult patients were enlisted between 2007 and 2009. FAs were patients whose attendance rate ranked within the top decile of their sex and age group in at least one of the years between 2007 and 2009.

OUTCOME MEASURES

Number of RFEs linked to TECs/CECs for non-FAs and 1-year (1yFAs), 2-year (2yFAs) and 3-year FAs (3yFAs), and the adjusted effect of frequent attendance of different duration on the number of TECs.

RESULTS

The average number of RFEs linked to TECs (non-FAs 1.4; 3yFAs 7.3) and to CECs (non-FAs 0.9; 3yFAs 6.2) increased substantially with the duration of frequent attendance. The ratio of TECs to all ECs differed little for FAs (52-54%) and non-FAs (64%). Compared with non-FAs, the adjusted additional number of TECs was 3.4 (95% CI 3.2 to 3.7, 1yFAs), 6.6 (95% CI 6.1 to 7.0, 2yFAs) and 9.4 (95% CI 8.8 to 10.1, 3yFAs).

CONCLUSIONS

FAs present more TECs and CECs with longer duration of frequent attendance. The constant ratio of TECs might be a sign of a low threshold for FAs to consult their GP. The large numbers of TECs in FAs might be associated with their high level of anxiety and low mastery. The consultation pattern of FAs may best be characterised by describing both TECs and CECs.

Brief multimodal psychosomatic therapy in patients with medically unexplained symptoms: feasibility and treatment effects

BACKGROUND

Patients repeatedly presenting with medically unexplained symptoms (MUS) to their GPs, suffer from their symptoms. Experts in the field suggest a multicomponent approach for these patients. Brief multimodal psychosomatic therapy (BMPT) is such an intervention.

OBJECTIVES

To test the systematic identification of eligible patients, acceptability of BMPT and potential treatment effects of BMPT.

METHODS

The participants in this randomized pilot trial, patients consulting their GPs more than once with MUS, were randomized to intervention [usual care (UC) and additional BMPT] or control condition (UC alone).We monitored the number of patients identified and recruited, trial recruitment and retention. Potential treatment effects were measured with perceived symptom severity [Visual Analogue Scale (VAS)]; patients' self-rated symptoms of distress, depression, anxiety and somatization [Four-Dimensional Symptom Questionnaire (4DSQ)]; symptoms of hyperventilation [Nijmegen Hyperventilation List (NHL)]; physical and mental health status and quality of life [Short-Form Health Survey-36 items (SF-36)]; and level of functioning (measure of general functioning). Follow-up was 1 year.

RESULTS

A total of 42 patients could be included in the trial. Four patients withdrew after randomization and two patients were lost to follow-up, resulting in 36 patients (86%). During the 12-month follow-up after BMPT, there was an improvement in perceived symptom severity [adjusted mean difference -2.0, 95% confidence interval (CI) -3.6 to -0.3], in somatization (adjusted mean difference -4.4, 95% CI -7.5 to -1.4) and in symptoms of hyperventilation (adjusted mean difference -5.7, 95% CI -10.5 to -0.8).

CONCLUSIONS

This randomized pilot study shows that a larger trial studying the effectiveness of BMPT in patients with MUS in primary care is feasible and useful.

Cognitive behaviour therapy for long-term frequent attenders in primary care: a feasibility case series and treatment development study

BACKGROUND

Most frequent attendance in primary care is temporary. Long-term frequent attendance may be suitable for psychological intervention to address health management and service use.

AIM

To explore the feasibility and acceptability of cognitive behaviour therapy (CBT) for long-term frequent attendance in primary care and obtain preliminary evidence regarding clinical and cost effectiveness.

DESIGN AND SETTING

A CBT case series was carried out in five GP practices in the East Midlands.

METHOD

Frequent attenders (FAs) were identified from case notes and invited by their practice for assessment, then offered CBT. Feasibility and acceptability were assessed by CBT session attendance and thematic analysis of semi-structured questionnaires. Clinical and cost effectiveness was assessed by primary care use and clinically important change on a range of health and quality of life instruments.

RESULTS

Of 462 FAs invited to interview, 87 (19%) consented to assessment. Thirty-two (7%) undertook CBT over a median of 3 months. Twenty-four (75%) attended at least six sessions. Eighteen FAs (86%, n = 21) reported overall satisfaction with treatment. Patients reported valuing listening without judgement alongside support to develop coping strategies. Thirteen (54%, n = 24), achieved clinically important improvement on the SF-36 Mental-Component Scale at 6-month follow-up and improved quality of life, but no improvement on other outcomes. Primary care use reduced from a median of eight contacts in 3 months at baseline (n = 32) to three contacts in 3 months at 1 year (n = 18).

CONCLUSION

CBT appears feasible and acceptable to a subset of long-term FAs in primary care who halved their primary care use. With improved recruitment strategies, this approach could contribute to decreasing GP workload and merits larger-scale evaluation.

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

OBJECTIVE

Electronic health records (EHRs) are an increasingly common data source for clinical risk prediction, presenting both unique analytic opportunities and challenges. We sought to evaluate the current state of EHR based risk prediction modeling through a systematic review of clinical prediction studies using EHR data.

METHODS

We searched PubMed for articles that reported on the use of an EHR to develop a risk prediction model from 2009 to 2014. Articles were extracted by two reviewers, and we abstracted information on study design, use of EHR data, model building, and performance from each publication and supplementary documentation.

RESULTS

We identified 107 articles from 15 different countries. Studies were generally very large (median sample size = 26 100) and utilized a diverse array of predictors. Most used validation techniques (n = 94 of 107) and reported model coefficients for reproducibility (n = 83). However, studies did not fully leverage the breadth of EHR data, as they uncommonly used longitudinal information (n = 37) and employed relatively few predictor variables (median = 27 variables). Less than half of the studies were multicenter (n = 50) and only 26 performed validation across sites. Many studies did not fully address biases of EHR data such as missing data or loss to follow-up. Average c-statistics for different outcomes were: mortality (0.84), clinical prediction (0.83), hospitalization (0.71), and service utilization (0.71).

CONCLUSIONS

EHR data present both opportunities and challenges for clinical risk prediction. There is room for improvement in designing such studies.

Determinants of frequent attendance in Danish general practice: a cohort-based cross-sectional study

Background

Previous studies addressing determinants of frequent attendance have mainly focused on socio-demographic, psychosocial and medical factors, and few had data on lifestyle and gender-specific factors. This study aims to describe determinants of general practice frequent attendance in Danish adult population, by examining lifestyle, socio-demographic, medical and gender-specific factors.

Method

For 54,849 participants of the Danish Diet, Cancer and Health cohort (50–65 year old) we obtained data on visits to general practitioner (GP) from the Danish National Health Service Register at cohort baseline (1993–97), when information on medical conditions and lifestyle, socio-demographic and gender-specific factors was collected by questionnaire. Logistic regression was used to identify determinants of frequent attendance, defined as top 10 % GP users at the year of recruitment into the cohort (baseline) in the period between 1993 and 1997.

Results

Frequent attenders accounted for 40 % of all face-to-face GP consultations with a mean 12 visits/year. Women were more likely to be frequent attenders, in crude (Odds ratio: 1.95; 95 % Confidence Interval: 1.85–2.06) and fully adjusted (1.26; 1.09–1.47) model. In a fully adjusted model, strongest determinants of frequent attendance were pre-existing medical conditions, with hypertension (2.58; 2.42–2.75), diabetes (2.24; 1.94–2.59), and mental illness (2.29; 2.09–2.52) more than doubling the odds of being FA. High education (0.63; 0.57–0.69, >4 years higher education vs. no vocational training) and employment (0.61; 0.57–0.65) were inversely associated with frequent attendance. Finally, obesity (1.54; 1.14–2.08), smoking (1.21; 1.12–1.30, current vs. never), physical activity (0.84; 0.80–89), alcohol consumption (0.83; 0.78–0.87 above vs. below recommended level), and hormone therapy in women (1.52; 1.42–1.63) were all significant determinants of frequent attendance.

Conclusions

In addition to pre-existing medical conditions, gender, socio-demographic and gender-specific factors, lifestyle (obesity, smoking, exercise and alcohol use) is also an independent determinant of frequent attendance at general practitioner.

Clinical characteristics of persistent frequent attenders in primary care: case-control study

BACKGROUND

Most frequent attendance in primary care is temporary, but persistent frequent attendance is expensive and may be suitable for psychological intervention. To plan appropriate intervention and service delivery, there is a need for research involving standardized psychiatric interviews with assessment of physical health and health status.

OBJECTIVE

To compare the mental and physical health characteristics and health status of persistent frequent attenders (FAs) in primary care, currently and over the preceding 2 years, with normal attenders (NAs) matched by age, gender and general practice.

METHODS

Case-control study of 71 FAs (30 or more GP or practice nurse consultations in 2 years) and 71 NAs, drawn from five primary care practices, employing standardized psychiatric interview, quality of life, health anxiety and primary care electronic record review over the preceding 2 years.

RESULTS

Compared to NAs, FAs were more likely to report a lower quality of life (P < 0.001), be unmarried (P = 0.03) and have no educational qualifications (P = 0.009) but did not differ in employment status. FAs experienced greater health anxiety (P < 0.001), morbid obesity (P = 0.02), pain (P < 0.001) and long-term pathological and ill-defined physical conditions (P < 0.001). FAs had more depression including dysthymia, anxiety and somatoform disorders (all P < 0.001).

CONCLUSIONS

Persistent frequent attendance in primary care was associated with poor quality of life and high clinical complexity characterized by diverse and often persistent physical and mental multimorbidity. A brokerage model with GPs working in close liaison with skilled psychological therapists is required to manage such persistent complexity.

What determines frequent attendance at out-of-hours primary care services?

BACKGROUND

A detailed description of the characteristics of frequent attenders (FAs) at primary care services is needed to devise measures to contain the phenomenon. The aim of this population-registry-based research was to sketch an overall picture of the determinants of frequent attendance at out-of-hours (OOH) services, considering patients' clinical conditions and socio-demographic features, and whether the way patients' genaral practitioners (GPs) were organized influenced their likelihood of being FAs.

METHODS

This study was a retrospective cohort study on electronic population-based records. The dataset included all OOH primary care service contacts from 1 January to 31 December 2011, linked with the mortality registry and with patients' exemption from health care charges. A FA was defined as a patient who contacted the service three or more times in 12 months. A logistic regression model was constructed to identify independent variables associated with this outcome.

RESULTS

Multivariate analysis showed that not only frailty and clinical variables such as psychiatric disease are associated with FA status, but also socio-demographic variables such as sex, age and income level. Alongside other environmental factors, the GP's gender and mode of collaboration in the provision of health services were also associated with OOH FA.

CONCLUSION

Our study demonstrates that the determinants of OOH FA include not only patients' clinical conditions, but also several socio-economic characteristics (including income level) and their GPs' organizational format.

[Would the Screening of Common Mental Disorders in Primary-Care Health Services Hyper-Frequent Patients Be Useful?]

Hyper-frequentation in health services is a problem for patients, their families and the institutions. This study is aimed at determining the frequency and characteristics of common mental disorders in hyper-frequent patients showing vague symptoms and signs at a primary healthcare service during the year 2007 in the city of Cali (Colombia).

METHODOLOGY

Cross sectional. The most frequent mental disorders in hyper-frequent patients were detected through a telephone interview which included several modules of the PRIME MD instrument.

RESULTS

In general, healthcare service hyper-frequenters are working women, 38,7-year old in average. Basically, the consultation is due to cephalalgia but they also exhibit a high prevalence of common mental disorders (somatization, depression and anxiety) not easily diagnosed by physicians in primary care. Expenses for additional health activities generated by these patients are attributed basically to medical consultation and required procedures.

CONCLUSION

Considering hyper-frequenters in health care services as a risk group in terms of common mental disorders involves screening as an efficient strategy to prevent abuse in service use and to improve satisfaction with the attention received.

The PROSPECTS study: design of a prospective cohort study on prognosis and perpetuating factors of medically unexplained physical symptoms (MUPS)

OBJECTIVE

This paper describes the rationale and methodology of the PROSPECTS study, a study which aims to assess the course and prognosis of medically unexplained physical symptoms (MUPS), in terms of symptom severity and physical and social functioning. Additionally, it aims to identify different course types and to determine which factors are associated with these course types. Based on these factors, one or more prediction models will be developed.

METHODS

This study is a prospective, multicenter longitudinal cohort study with 1 baseline and 4 follow-up measurements during a 3 year period. 450 MUPS patients (age 18-70 years) will be included, divided over a primary care group, recruited in general practices, and a secondary/tertiary care group, recruited in specialized MUPS care programs.

MAIN STUDY PARAMETERS/ENDPOINTS

Primary outcome measures are severity of symptoms and degree of functional impairment. Secondary outcome measures are health care consumption and level of depressive symptoms and anxiety. Potential predictors are based on current theoretical models describing the perpetuation of MUPS and include somatic, psychological and social factors. Latent Class Growth Mixture Modeling will be used to identify distinct course types. Logistic regression analysis will be used to identify risk factors associated with these course types. Finally, one or more multivariate prediction models for the course of MUPS will be developed and tested.

CONCLUSION

The PROSPECTS study aims to enhance our insight into the course of MUPS, thus contributing to better recognition of future patients at risk for persistent MUPS.

Morbidity and doctor characteristics only partly explain the substantial healthcare expenditures of frequent attenders: a record linkage study between patient data and reimbursements data

Background

Frequently attending patients to primary care (FA) are likely to cost more in primary care than their non-frequently attending counterparts. But how much is spent on specialist care of FAs? We describe the healthcare expenditures of frequently attending patients during 1, 2 or 3 years and test the hypothesis that additional costs can be explained by FAs’ combined morbidity and primary care physicians’ characteristics.

Methods

Record linkage study. Pseudonymised clinical data from the medical records of 16 531 patients from 39 general practices were linked to healthcare insurer’s reimbursements data. Main outcome measures were all reimbursed primary and specialist healthcare costs between 2007 and 2009. Multilevel linear regression analysis was used to quantify the effects of the different durations of frequent attendance on three-year total healthcare expenditures in primary and specialist care, while adjusting for age, sex, morbidities and for primary care physicians characteristics. Primary care physicians’ characteristics were collected through administrative data and a questionnaire.

Results

Unadjusted mean 3-year expenditures were 5044 and 15 824 Euros for non-FAs and three-year-FAs, respectively. After adjustment for all other included confounders, costs both in primary and specialist care remained substantially higher and increased with longer duration of frequent attendance. As compared to non-FAs, adjusted mean expenditures were 1723 and 5293 Euros higher for one-year and three-year FAs, respectively.

Conclusions

FAs of primary care give rise to substantial costs not only in primary, but also in specialist care that cannot be explained by their multimorbidity. Primary care physicians’ working styles appear not to explain these excess costs. The mechanisms behind this excess expenditure remain to be elucidated.

Predictability of persistent frequent attendance in primary care: a temporal and geographical validation study

BACKGROUND

Frequent attenders are patients who visit their general practitioner exceptionally frequently. Frequent attendance is usually transitory, but some frequent attenders become persistent. Clinically, prediction of persistent frequent attendance is useful to target treatment at underlying diseases or problems. Scientifically it is useful for the selection of high-risk populations for trials. We previously developed a model to predict which frequent attenders become persistent.

AIM

To validate an existing prediction model for persistent frequent attendance that uses information solely from General Practitioners' electronic medical records.

METHODS

We applied the existing model (N = 3,045, 2003-2005) to a later time frame (2009-2011) in the original derivation network (N = 4,032, temporal validation) and to patients of another network (SMILE; 2007-2009, N = 5,462, temporal and geographical validation). Model improvement was studied by adding three new predictors (presence of medically unexplained problems, prescriptions of psychoactive drugs and antibiotics). Finally, we derived a model on the three data sets combined (N = 12,539). We expressed discrimination using histograms of the predicted values and the concordance-statistic (c-statistic) and calibration using the calibration slope (1 = ideal) and Hosmer-Lemeshow tests.

RESULTS

The existing model (c-statistic 0.67) discriminated moderately with predicted values between 7.5 and 50 percent and c-statistics of 0.62 and 0.63, for validation in the original network and SMILE network, respectively. Calibration (0.99 originally) was better in SMILE than in the original network (slopes 0.84 and 0.65, respectively). Adding information on the three new predictors did not importantly improve the model (c-statistics 0.64 and 0.63, respectively). Performance of the model based on the combined data was similar (c-statistic 0.65).

CONCLUSION

This external validation study showed that persistent frequent attenders can be prospectively identified moderately well using data solely from patients' electronic medical records.

Association of common mental disorders and quality of life with the frequency of attendance in Slovenian family medicine practices: longitudinal study

Background

Most research on frequent attendance has been cross-sectional and restricted to one year attendance rates. A few longitudinal studies suggest that frequent attendance is self-limiting. Frequent attenders are more likely to have social and psychiatric problems, medically unexplained physical symptoms, chronic somatic diseases (especially diabetes) and are prescribed more psychotropic medication and analgesics.

Research Question

To describe the attendance rates in a longitudinal study and to test if depression, panic syndrome, other anxiety syndrome, alcohol misuse and general quality of life are associated with frequent attendance in next two consecutive years.

Methods

1118 consecutive family practice attendees, aged 18 to 75 years from randomly selected family medicine practices were recruited at baseline and followed up at 12 and 24 months. We identified frequent attenders in the top 10 centile within one year. Using a multivariate model, we ascertained if presence of common mental disorders and quality of life assessed at baseline in 2003 predict frequent attendance in 2004 and 2005.

Results

40% of frequent attenders continue to be frequent attenders in the following year and 20% of the frequent attenders were so for the 24 month period. Lower physical scores on the SF-12 questionnaire were strongly associated with future frequent attendance at 12 and 24 months. There was a trend for people with greater than elementary school education to be less likely to become frequent attenders at both 12 and 24 months. For other variables these effects were less consistent. Presence of major depression, panic syndrome, other anxiety syndrome and alcohol misuse were not predictive of frequent attendance in the following two years.

Conclusion

Low physical quality of life is strongly predictive of higher frequent attendance and similar finding was observed for people with lower educational level but further confirmatory research is required to establish this association.

Persistent frequent attenders in primary care: costs, reasons for attendance, organisation of care and potential for cognitive behavioural therapeutic intervention

BACKGROUND

The top 3% of frequent attendance in primary care is associated with 15% of all appointments in primary care, a fivefold increase in hospital expenditure, and more mental disorder and functional somatic symptoms compared to normal attendance. Although often temporary if these rates of attendance last more than two years, they may become persistent (persistent frequent or regular attendance). However, there is no long-term study of the economic impact or clinical characteristics of regular attendance in primary care. Cognitive behaviour formulation and treatment (CBT) for regular attendance as a motivated behaviour may offer an understanding of the development, maintenance and treatment of regular attendance in the context of their health problems, cognitive processes and social context.

METHODS/DESIGN

A case control design will compare the clinical characteristics, patterns of health care use and economic costs over the last 10 years of 100 regular attenders (≥30 appointments with general practitioner [GP] over 2 years) with 100 normal attenders (6-22 appointments with GP over 2 years), from purposefully selected primary care practices with differing organisation of care and patient demographics. Qualitative interviews with regular attending patients and practice staff will explore patient barriers, drivers and experiences of consultation, and organisation of care by practices with its challenges. Cognitive behaviour formulation analysed thematically will explore the development, maintenance and therapeutic opportunities for management in regular attenders. The feasibility, acceptability and utility of CBT for regular attendance will be examined.

DISCUSSION

The health care costs, clinical needs, patient motivation for consultation and organisation of care for persistent frequent or regular attendance in primary care will be explored to develop training and policies for service providers. CBT for regular attendance will be piloted with a view to developing this approach as part of a multifaceted intervention.

Frequent attendance in family practice and common mental disorders in an open access health care system

Frequent attenders in family practice are known to have higher rates of mental disorder. However little is known about specific psychiatric disorders and whether this behavior extends to specialist services, in an open access fee-for-service health care system.

METHODS

1060 patients from 46 family practices completed the Patient Health Questionnaire and the Client Service Receipt Inventory. During the consultation, family practitioners blind to the questionnaire responses rated the severity of mental health and physical disorders. The 10% of patients with the highest number of 6-month consultations in six age and sex stratified groups were defined as frequent attenders.

RESULTS

After adjustments for sociodemographic variables, physical health and other psychiatric diagnoses, patients with a somatoform disorder were more likely to be frequent attenders, with an odds ratio of 2.3 (95% CI: 1.3-3.8, p=.002).

CONCLUSION

When adjusting for confounders, among the four psychiatric diagnoses investigated only somatoform disorders remain significantly associated with frequent attendance. Physical health and chronic disease were no longer associated with frequent attendance which does not support the hypothesis that in an open access fee-for-service system, patients will consult for a wider range of health problems. Greater investigation into unexplained somatic symptoms could help reduce the frequency of attendance in both primary and secondary care, as this behaviour appears to be a general health-seeking drive than extends beyond family practice.

Role of mental health professionals in the management of functional somatic symptoms in primary care

Functional somatic symptoms associated with persistent frequent attendance is emotionally demanding, costly and intractable to treat. Such patients are hard to engage in practice and research by mental health professionals, whose main role may be indirect training, supporting and advising primary care professionals rather than direct patient care.

Mental disorders among frequent attenders in primary care: a comparison with routine attenders

Frequent attenders account for a large proportion of primary care (PC) contacts, referrals, and prescriptions. Psychosocial and emotional distress is related to the high use of health services. Few studies have focused on the association between mental disorders assessed using structured interviews and frequent use of PC services.The aim of this study was to determine the factors associated with frequent attendance at primary healthcare units, focusing specifically on mental disorders. A two-phase screening epidemiological study comparing frequent attenders and routine attenders in five primary health care units was designed. Three hundred eighteen frequent attenders and 203 patients who attended the same units on a routine basis were compared. Sociodemographic and clinical data were obtained from statistical records and medical charts. Patients with a total score equal or higher than 7 points on the General Health Questionnaire-28 (GHQ-28) were interviewed using the Schedules for Clinical Assessment in Neuropsychiatry. All the scores obtained on the GHQ were statistically different in the two populations. Frequency of mental disorders also differed significantly between both groups, with somatoform and affective disorders being the most prevalent ICD-10 categories among frequent attenders. The presence of depressive disorders and somatoform disorders is the most powerful predictive factor for frequent attendance. High comorbidity was found among frequent attenders with somatoform disorder. Frequent attendance at primary healthcare units is associated with depressive and somatoform disorders. Psychiatric comorbidity could be a confounder, particularly because affective and somatoform disorders often overlap in PC patients.

Frequent users of the Royal Flying Doctor Service primary clinic and aeromedical services in remote New South Wales: a quality study

OBJECTIVE

To examine activity patterns of the Royal Flying Doctor Service of Australia (RFDS) in far western New South Wales and to determine whether frequent use of RFDS services, particularly emergency evacuations, is a useful indicator of patients who may benefit from care planning and review.

DESIGN, SETTING AND PARTICIPANTS

We conducted a retrospective audit of the RFDS South Eastern Section's Broken Hill patient database. Patients with a residential address in the study area who had accessed at least one RFDS medical service between 1 July 2000 and 30 June 2005 were included in the study.

MAIN OUTCOME MEASURES

Number of evacuations, clinic consultations and remote consultations; clinic usage by frequent evacuees; number of primary diagnoses recorded for frequent evacuees; number of frequent users who might benefit from multidisciplinary care or specialist shared care.

RESULTS

Between July 2000 and June 2005, the number of residents requiring evacuation or remote consultations declined by 26% and 19%, respectively, and the number of residents accessing clinics declined by 6%. (Over the same period, the population of the study area fell by about 24%.) Of the 78 patients who were identified as frequent users of the evacuation service (> or = 3 evacuations/year), 34 had three or more primary diagnoses recorded; 15 were infrequent or non-users of the clinics (< or = 3 attendances/year); 53 may have benefited from multidisciplinary care, and 41 from specialist shared care.

CONCLUSIONS

Simple, practical clinical review systems can help health care organisations in rural and remote communities to achieve better outcomes by identifying patients who may benefit from planned care.

Risk factors for persistent frequent use of the primary health care services among frequent attenders: a Bayesian approach

OBJECTIVES

The aim of this study was to examine risk factors that predict persistent healthcare frequent attendance among a frequent attender (FA) population.

DESIGN

Prospective cohort study without intervention.

SETTING

Primary healthcare centre in Tampere, Finland.

SUBJECTS

A total of 85 primary healthcare working-age patients participated in the study. All participants were FAs in the first study year.

MAIN OUTCOME MEASURES

We identified two groups of patients: temporary FAs and persistent FAs. A patient was considered as a persistent FA if he or she visited the health centre at least eight times a year for at least three out of four follow-up years. Some 59 different variables were examined as potential risk factors for persistent FA. P-course, a web-based Naïve Bayesian classification tool, was used for the modelling of the data.

RESULTS

In our model, the most influential predictive risk factors for persistent frequent attendance in an FA population were female gender, body mass index above 30, former frequent attendance, fear of death, alcohol abstinence, low patient satisfaction, and irritable bowel syndrome. New observations were high body mass index, alcohol abstinence, irritable bowel syndrome, low patient satisfaction, and fear of death.

CONCLUSIONS

In FA analyses, distinction between temporary and persistent frequent attendance should be made. Our Bayesian model could be used for identifying persistent FAs in uncertain situations. The model can quite easily be further developed as a practical decision support tool for general practitioners. However, before its use in practice, the external validity of the model will need to be defined.

Epidemiology of frequent attenders: a 3-year historic cohort study comparing attendance, morbidity and prescriptions of one-year and persistent frequent attenders

Background

General Practitioners spend a disproportionate amount of time on frequent attenders. So far, trials on the effect of interventions on frequent attenders have shown negative results. However, these trials were conducted in short-term frequent attenders. It would be more reasonable to target intervention at persistent frequent attenders. Typical characteristics of persistent frequent attenders, as opposed to 1-year frequent attenders and non-frequent attenders, may generate hypotheses regarding modifiable factors on which new randomized trials may be designed.

Methods

We used the data of all 28,860 adult patients from 5 primary healthcare centers. Frequent attenders were patients whose attendance rate ranked in the (age and sex adjusted) top 10 percent during 1 year (1-year frequent attenders) or 3 years (persistent frequent attenders). All other patients on the register over the 3-year period were referred to as non-frequent attenders. The lists of medical problems coded by the GP using the International Classification of Primary Care (ICPC) were used to assess morbidity.

First, we determined which proportion of 1-year frequent attenders was still a frequent attender during the next two consecutive years and calculated the GPs' workload for these patients. Second, we compared morbidity and number of prescriptions for non-frequent attenders, 1-year frequent attenders and persistent frequent attenders.

Results

Of all 1-year frequent attenders, 15.4% became a persistent frequent attender equal to 1.6% of all patients. The 1-year frequent attenders (3,045; 10.6%) were responsible for 39% of the face-to-face consultations; the 470 patients who would become persistent frequent attenders (1.6%) were responsible for 8% of all consultations in 2003. Persistent frequent attenders presented more social problems, more psychiatric problems and medically unexplained physical symptoms, but also more chronic somatic diseases (especially diabetes). They received more prescriptions for psychotropic medication.

Conclusion

One out of every seven 1-year-frequent attenders (15.4%) becomes a persistent frequent attender. Compared with non-frequent attenders, and 1-year frequent attenders, persistent frequent attenders consume more health care and are diagnosed not only with more somatic diseases but especially more social problems, psychiatric problems and medically unexplained physical symptoms.