Frequent Attendance In Primary Care Research Articles

Factors Contributing to Persistent Frequent Attendance in Primary Care Among the Oldest Old: Longitudinal Evidence From the AgeCoDe-AgeQualiDe Study.

ObjectiveSince there is a lack of longitudinal studies in this area, our aim was to identify the determinants of persistent frequent attendance in primary care among the oldest old in Germany.MethodsLongitudinal data (follow-up wave 7–9) were taken from the multicenter prospective cohort “Study on needs, health service use, costs, and health-related quality of life in a large sample of oldest-old primary care patients (85+)” (AgeQualiDe), covering primary care patients ≥ 85 years (FU7 n = 741, mean age 88.9 years (SD 2.9; 85–100)). Persistent frequent attenders of general practitioner (GP) services (the patients in the top decile of the number of GP consultations in two or more consecutive waves) were our main outcome of interest. Logistic random-effects models were used.ResultsOur analysis included 1,891 observations (766 individuals). Across three waves, we identified 56 persistent frequent attenders. Results of random-effects logistic regressions showed that the odds of being persistent frequent attender were higher for widowed individuals (OR = 4.57; 95% CI [1.07–19.45]). Moreover, a one-point increase in the frailty score and having one more chronic condition increased the odds of being a persistent frequent attender by 68% (OR =1.68; 95% CI [1.05–2.69]) and 23% (OR=1.23, 95% CI [1.05–1.44]), respectively.ConclusionOur study stressed the longitudinal association between frailty and widowhood as well as chronic diseases and persistent frequent attendance among the oldest old in Germany.

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

BackgroundFrequent 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.AimTo identify predictive measures (including continuity) for persistent frequent attendance that may be modified in future interventions.Design & settingThis is a retrospective cohort study sampling 35 926 adult patients registered in seven Bristol practices.MethodThe 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.ResultsFAs 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.ConclusionContinuity 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.

Children as frequent attenders in primary care: a systematic review.

BackgroundFrequent paediatric attendances make up a large proportion of a GP's workload. Currently, there is no systematic review on frequent paediatric attendances in primary care.AimTo identify the sociodemographic and clinical characteristics of children who attend primary care frequently.Design & settingA systematic review.MethodThe electronic databases MEDLINE, Embase, and PsycINFO were searched up to January 2020, using terms relating to frequent attendance in primary care settings. Studies were eligible if they considered children frequently attending in primary care (aged 0–19 years). Relevant data were extracted and analysed by narrative synthesis.ResultsSix studies, of fair quality overall, were included in the review. Frequent attendance was associated with presence of psychosocial and mental health problems, younger age, school absence, presence of chronic conditions, and high level of anxiety in their parents.ConclusionVarious sociodemographic and medical characteristics of children were associated with frequent attendance in primary care. Research on interventions needs to account for the social context and community characteristics. Integrating GP services with mental health and social care could potentially provide a response to medical and psychosocial needs of frequently attending children and their families.

Determinants of Frequent Attendance in Primary Care. Study Protocol for a Systematic Review of Longitudinal Studies.

Thus far, no study has systematically synthesized longitudinal studies investigating the determinants of frequent attendance in primary care. Consequently, the purpose of our systematic review is to give an overview of evidence based on longitudinal observational studies analyzing the determinants of frequent attendance. Three electronic databases (Medline, PsycINFO, CINAHL) will be searched. Moreover, the reference lists of studies included in our systematic review will be searched manually. Longitudinal observational studies examining the determinants of frequent attendance in primary care will be included. Disease-specific samples will be excluded. Data extraction focuses on methods (e.g., measurement of frequent attendance, statistical analysis), characteristics of the sample and key results. Furthermore, the quality of the studies included will be examined using an appropriate tool. Two reviewers will perform study selection, data extraction, and quality assessment. A meta-analysis will be conducted (if possible).

Frequent attendance in primary care in the oldest old: evidence from the AgeCoDe-AgeQualiDe study.

There are very few studies examining the determinants of frequent attendance in primary care among the oldest old. The purpose of this study was to determine the characteristics of frequent attendance among individuals aged 85years or older. Cross-sectional data stem from the multicenter prospective cohort "Study on needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients (85 +)" (AgeQualiDe). This study covers very old primary care patients (n = 861, mean age of 89.0years±2.9; 85-100years). The number of self-reported GP visits in the preceding 3 months was used to quantify frequent attenders. We defined patients in the top decile as frequent attenders. Multiple logistic regressions showed that frequent attendance was associated with more chronic diseases (adjusted OR 1.12, 95% CI 1.01-1.23), worse functioning (OR 0.97, 95% CI 0.95-0.99), worries about one's financial situation (OR 2.20, 95% CI 1.07-4.53) and it was inversely associated with depression (OR 0.26, 95% CI 0.08-0.80). In contrast to studies based on younger samples, different factors were associated with frequent users in our study, showing that it is important to study the determinants of frequent attendance among the oldest old. In Germany, among the group of the oldest old, frequent attendance was positively associated with worse physical health status (e.g., number of chronic diseases), but negatively with depression. This might indicate that the German health care system is responsive to the physical, but not psychological needs of the oldest old.

Addendum to "Social Isolation Predicts Frequent Attendance in Primary Care".

Addendum to "Social Isolation Predicts Frequent Attendance in Primary Care".

Frequent attenders in occupational health primary care: A cross-sectional study.

This study characterizes frequent attenders in primary care provided by occupational health services (OHS) in Finland. This is a nationwide cross-sectional study using medical record data from an OHS provider in 2015. Frequent attenders were defined as persons who were within the top decile of annual visits to healthcare professionals (frequent attender 10%, FA10) at any of the OHS's 37 stations. FA10s within this study consulted the OHS primary care unit eight or more times during 2015. We used logistic regression to analyse factors associated with frequent attendance in OHS primary care. The independent variables were age, gender, employer size and industry, health professionals visited and diagnoses given during visits to the OHS. The dependent variable was belonging to the FA10 group. Altogether 31,960 patients met the inclusion criteria and were included in the study. The FA10 group included 3617 patients, who conducted 36% of visits to healthcare professionals. The findings indicate that working within the manufacturing industry, health and social services, or public administration, and being employed in medium or large companies, are associated with frequent attendance. Frequent attendance was also associated with being female, diagnoses of the musculoskeletal system, or mental and behavioral disorders. In particular, depressive episodes and anxiety were associated with FA10s. This research characterized FA10 clients at a Finnish OHS. Illnesses of the musculoskeletal system and mental and behavioral disorders were accentuated among FA10s. The stability of the FA10 group, along with their sickness absences and work disabilities, should be investigated further.

Out-of-pocket costs, primary care frequent attendance and sample selection: Estimates from a longitudinal cohort design

This paper examines the effect of out-of-pocket costs on subsequent frequent attendance in primary care using data from the Personality and Total Health (PATH) Through Life Project, a representative community cohort study from Canberra, Australia. The analysis sample comprised 1197 respondents with two or more GP consultations, and uses survey data linked to administrative health service use (Medicare) data which provides data on the number of consultations and out-of-pocket costs. Respondents identified in the highest decile of GP use in a year were defined as Frequent Attenders (FAs). Logistic regression models that did not account for potential selection effects showed that out-of-pocket costs incurred during respondents’ prior two consultations were significantly associated with subsequent FA status. Respondents who incurred higher costs ($15–$35; or >$35) were less likely to become FAs than those who incurred no or low (<AUS$15 per consultation) costs, with no difference evident between the no and low-cost groups. However, a counterfactual model that adjusted for factors associated with the selection into payment levels did not find an influence of payment, with only a non-significant gradient in the expected direction. Hence these findings raise doubts that price drives FA behaviour, suggesting that co-payments are unlikely to affect the number of GP consultations amongst frequent attenders.

Social Isolation Predicts Frequent Attendance in Primary Care.

Frequent attenders in primary care have complex physical and mental healthcare needs as well as low satisfaction with their health care. Interventions targeting mental health or psychoeducation have not been effective in reducing attendance. Here, we test the proposition that both frequent attendance and poor health are partly explained by unmet social needs (i.e., limited social group support networks). Study 1 (N = 1,752) was a large, cross-sectional community sample of primary care attenders in Scotland. Study 2 (N = 79) was a longitudinal study of a group of young people undergoing a life transition (moving countries and commencing university) that increased their risk of frequent attendance. Study 3 (N = 46) was a pre-post intervention study examining whether disadvantaged adults who joined a social group subsequently had reduced frequency of primary care attendance. All three studies found that low social group connectedness was associated with a higher frequency of primary care attendance. This was not attributable to poorer health among those who were socially isolated. In Study 3, joining a social group led to reduced primary care attendance to the extent that participants experienced a (subjective) increase in their social group connectedness. Unmet social needs among frequent attenders warrant closer consideration. Interventions that target social group connectedness show promise for reducing overutilization of primary care services.

Frequent attenders in late life in primary care: a systematic review of European studies

BackgroundHigh utilization of health care services is a costly phenomenon commonly observed in primary care practices. However, while frequent attendance in primary care has been broadly studied across age groups, aspects of high utilization by elderly patients have not been investigated in detail. The aim of this paper is to provide a systematic review of frequent attendance in primary care among elderly people.MethodsWe searched five databases (PubMed, PsycINFO, Web of Science, PubPsych, and Cochrane Library) for published papers addressing frequent attendance in primary health care among elderly individuals. Quality of studies was assessed using established criteria for evaluating methodological quality.ResultsTen studies met inclusion criteria and were included for detailed analysis. The average number of patients frequently utilizing primary care services varied across studies from 10% to 33% of the elderly samples and subsamples. The definition of frequent attendance across studies differed substantially. The most consistent associations between frequent attendance and old age were found for presence and severity of physical illness. Results on mental disorders and frequent attendance were heterogeneous. Only a few studies have assessed frequent attendance in association with factors such as drug use, social support or sociodemographic aspects; however results were inconsistent.ConclusionsSevere ill health and the need for treatment serve as the main drivers of frequent attendance in older adults. As results were scarce and divergent, future studies are needed to provide more information on this topic. Since prior studies have offered only a snapshot of this service use behaviour, a longitudinal approach would be preferable in the future.

Association of general psychological factors with frequent attendance in primary care: a population-based cross-sectional observational study

BackgroundWhereas several studies have examined the association between frequent attendance in primary care and illness-specific psychological factors, little is known about the relation between frequent attendance and general psychological factors. Thus, the aim of this study was to investigate the association between being a frequent attender in primary care and general psychological factors.MethodsData were used from a large, population-based sample of community-dwelling individuals aged 40 and above in Germany in 2014 (n = 7,446). Positive and negative affect, life satisfaction, optimism, self-esteem, self-efficacy, and self-regulation were included as general psychological factors. The number of self-reported GP visits in the past twelve months was used to quantify frequency of attendance; individuals with more than 9 visits (highest decile) were defined as frequent attenders.ResultsMultiple logistic regressions showed that being a frequent attender was positively associated with less life satisfaction [OR: 0.79 (0.70–0.89)], higher negative affect [OR: 1.38 (1.17–1.62)], less self-efficacy [OR: 0.74 (0.63–0.86)], less self-esteem [OR: 0.65 (0.54–0.79)], less self-regulation [OR: 0.74 (0.60–0.91)], and higher perceived stress [OR: 1.46 (1.28–1.66)], after adjusting for sociodemographic factors, morbidity and lifestyle factors. However, frequent attendance was not significantly associated with positive affect and self-regulation.ConclusionsThe present study highlights the association between general psychological factors and frequent attendance. As frequent GP visits produce high health care costs and are potentially associated with increased referrals and use of secondary health care services, this knowledge might help to address these individuals with high needs.

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

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

Changing circumstances drive changing attendance: A longitudinal cohort study of time varying predictors of frequent attendance in primary health care

ObjectiveTo investigate risk factors for frequent attendance in primary care over time, contrasting models based on baseline and time-varying characteristics. MethodsAnalysis of data from the Personality and Total Health (PATH) Through Life Project: a representative community cohort study from the Canberra region of Australia. A balanced sample of 1734 respondents, initially aged in their early 40s, were assessed on three occasions over 8years. The survey assessed respondents' experience of chronic physical conditions, self-reported health, depression symptoms, personality, life events, socio-demographic characteristics and self-reported medication use. Survey data were linked to respondent's own administrative health service use data, and used to generate an objective measure of general practitioner (GP) consultations over a 12-month period. For each gender, respondents in the (approximate) highest decile of GP consultations at each time point were defined as frequent attenders (FAs). ResultsAnalysis showed chronic health conditions, self- reported health, mental health and medication use measured at baseline was associated with FA status, with some gender differences evident. However taking into account of changing circumstances improved the model fit and the prediction over FA status over time. ConclusionsThe study showed that there is considerable variability in frequent attender status over the study period. While baseline characteristics can predict current and future frequent attender status, it is clear that frequent attender in primary care does reflect changing circumstances over time.

Longitudinal cohort study describing persistent frequent attenders in Australian primary healthcare

ObjectivesTo describe patterns of frequent attendance in Australian primary care, and identify the prospective risk factors for persistent frequent attendance.Design, setting and participantsThis study draws on data from the Personality...

Why do they keep coming back? Psychosocial etiology of persistence of frequent attendance in primary care: A prospective cohort study

BackgroundPatients who visit their General Practitioner (GP) very frequently over extended periods of time often have multimorbidity and are costly in primary and specialist healthcare. We investigated the impact of patient-level psychosocial and GP-level factors on the persistence of frequent attendance (FA) in primary care. MethodsTwo-year prospective cohort study in 623 incident adult frequent attenders (>90th attendance centile; age and sex-adjusted) in 2009. Information was collected through questionnaires (patients, GPs) and GPs' patient data. We used multilevel, ordinal logistic regression analysis, controlling for somatic illness and demographic factors with FA in 2010 and/or 2011 as the outcome. ResultsOther anxiety (odds ratio (OR) 2.00; 95% confidence interval from 1.29 to 3.10) over 3years and the number of life events in 3years (OR 1.06; 1.01–1.10 per event; range of 0 to 12) and, at baseline, panic disorder (OR 5.40; 1.67–17.48), other anxiety (OR 2.78; 1.04–7.46), illness behavior (OR 1.13; 1.05–1.20 per point; 28-point scale) and lack of mastery (OR 1.08; 1.01–1.15 per point; 28-point scale) were associated with persistence of FA. We found no evidence of synergistic effects of somatic, psychological and social problems. We found no strong evidence of effects of GP characteristics. ConclusionPanic disorder, other anxiety, negative life events, illness behavior and lack of mastery are independently associated with persistence of frequent attendance. Effective intervention at these factors, apart from their intrinsic benefits to these patients, may reduce attendance rates, and healthcare expenditures in primary and specialist care.

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

BackgroundFrequent 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.AimTo validate an existing prediction model for persistent frequent attendance that uses information solely from General Practitioners’ electronic medical records.MethodsWe 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.ResultsThe 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).ConclusionThis external validation study showed that persistent frequent attenders can be prospectively identified moderately well using data solely from patients’ electronic medical records.

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

BackgroundThe 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/designA 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.DiscussionThe 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.

Insecure attachment and frequent attendance in primary care: a longitudinal cohort study of medically unexplained symptom presentations in ten UK general practices

In primary care frequent attenders with medically unexplained symptoms (MUS) pose a clinical and health resource challenge. We sought to understand these presentations in terms of the doctor-patient relationship, specifically to test the hypothesis that such patients have insecure emotional attachment. We undertook a cohort follow-up study of 410 patients with MUS. Baseline questionnaires assessed adult attachment style, psychological distress, beliefs about the symptom, non-specific somatic symptoms, and physical function. A telephone interview following consultation assessed health worry, general practitioner (GP) management and satisfaction with consultation. The main outcome was annual GP consultation rate. Of consecutive attenders, 18% had an MUS. This group had a high mean consultation frequency of 5.24 [95% confidence interval (CI) 4.79-5.69] over the follow-up year. The prevalence of insecure attachment was 28 (95% CI 23-33) %. A significant association was found between insecure attachment style and frequent attendance, even after adjustment for sociodemographic characteristics, presence of chronic physical illness and baseline physical function [odds ratio (OR) 1.96 (95% CI 1.05-3.67)]. The association was particularly strong in those patients who believed that there was a physical cause for their initial MUS [OR 9.52 (95% CI 2.67-33.93)]. A possible model for the relationship between attachment style and frequent attendance is presented. Patients with MUS who attend frequently have insecure adult attachment styles, and their high consultation rate may therefore be conceptualized as pathological care-seeking behaviour linked to their insecure attachment. Understanding frequent attendance as pathological help seeking driven by difficulties in relating to caregiving figures may help doctors to manage their frequently attending patients in a different way.

Frequent attendance in primary care: comparison and implications of different definitions

The diversity of definitions of frequent attendance in the literature hampers comparison of their precision, validity, and associated factors. To examine different definitions of frequent attendance in order to identify the sociodemographic and clinical factors associated with frequent attendance in primary care, according to each definition. One-phase cross-sectional study. Seventy-seven primary care centres in Catalonia, Spain. A total of 3815 primary care patients were interviewed between October 2005 and March 2006. Three definitions of frequent attendance were tested: (1) frequent attenders as the top 25% and the top 10% consulting patients; (2) frequent attenders as the top 25% and the top 10% consulting patients stratified by age and sex; and (3) frequent attenders as the top 25% and the top 10% consulting patients stratified by the presence of physical/mental conditions (patients with only mental disorders, with only chronic physical conditions, with comorbid conditions, and with no condition). Multilevel logistic regressions were used. The following factors were systematically related to frequent attender status: being on sick leave, being born outside of Spain, reporting mental health problems as the main reason for consulting, and having arthritis/rheumatism, or bronchitis. Major depression was related to frequent attendance in two of the three definitions. The factor 'GP' was related to frequent attendance when the top decile cut-off point was used. The models with a 10% cut-off point were more discriminative than those with a 25% cut-off point: the area under the receiver operating characteristic curve for models with a 25% cut-off and a 10% cut-off ranged between 0.71 (95% confidence interval [CI] = 0.70 to 0.73) and 0.75 (95% CI = 0.74 to 0.77) and between 0.79 (95% CI = 0.78 to 0.81) and 0.85 (95% CI = 0.83 to 0.86), respectively. The way frequent attendance is defined is of crucial importance. It is recommended that a more discriminative definition of frequent attendance is used (the top 10%).

28 - Depressive disorder and frequent attendance in primary care. A comparison between elderly and nonelderly patients

28 - Depressive disorder and frequent attendance in primary care. A comparison between elderly and nonelderly patients