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1.
J Am Board Fam Med ; 30(6): 806-812, 2017.
Article in English | MEDLINE | ID: mdl-29180555

ABSTRACT

PURPOSE: Family physicians (FPs) have to recognize alarm symptoms and estimate the probability of cancer to manage these symptoms correctly. Mostly, patients start the consultation with a spontaneous statement on why they visit the doctor. This is also called the reason for encounter (RFE). It precedes the interaction and interpretation by FPs and patients. The aim of this study is to investigate the predictive value of alarm symptoms as the RFE for diagnosing cancer in primary care. DESIGN AND SETTING: Retrospective cohort study in a Dutch practice-based research network (Family Medicine Network). METHOD: We analyzed all patients >45 years of age listed in the practice-based research network, FaMe-net, in the period 1995 to 2014 (118.219 patient years). We focused on a selection of alarm symptoms as defined by the Dutch Cancer Society and Cancer Research UK. We calculated the positive predictive value (PPV) of alarm symptoms, spontaneously mentioned in the beginning of the consultation by the patient (RFE), for diagnosing cancer. RESULTS: The highest PPVs were found for patients spontaneously mentioning a breast lump (PPV 14.8%), postmenopausal bleeding (PPV 3.9%), hemoptysis (PPV 2.7%), rectal bleeding (PPV 2.6%), hematuria (PPV 2.2%) and change in bowel movements (PPV 1.8%). CONCLUSION: Patients think about going to their physician and think about their first uttered statements during the consultation. In the case of cancer, the diagnostic workup during the consultation on alarm symptoms will add to the predictive value of these reasons for encounter. However, it is important to realize that the statement made by the patient entering the consultation room has a significant predictive value in itself.


Subject(s)
Early Detection of Cancer/statistics & numerical data , Family Practice/methods , Neoplasms/diagnosis , Primary Health Care/methods , Referral and Consultation/statistics & numerical data , Family Practice/statistics & numerical data , Female , Humans , Incidence , Male , Middle Aged , Neoplasms/epidemiology , Neoplasms/pathology , Netherlands/epidemiology , Primary Health Care/statistics & numerical data , Retrospective Studies
2.
Eur J Gen Pract ; 22(2): 91-5, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27003276

ABSTRACT

BACKGROUND: Symptoms with a high predictive power for colorectal cancer (CRC) do not exist. OBJECTIVE: To explore the predictive value of patients' reason for encounter (RFE) in the two years prior to the diagnosis of CRC. METHODS: A retrospective nested case-control study using prospectively collected data from electronic records in general practice over 20 years. Matching was done based on age (within two years), gender and practice. The positive likelihood ratios (LR+) and odds ratios (OR) were calculated for RFE between cases and controls in the two years before the index date. RESULTS: We identified 184 CRC cases and matched 366 controls. Six RFEs had significant LR + and ORs for CRC, which may have high predictive power. These RFEs are part of four chapters in the International Classification of Primary Care (ICPC) that include tiredness (significant at 3-6 months prior to the diagnosis; LR+ 2.6 and OR 3.07; and from 0 to 3 months prior to the diagnosis; LR+ 2.0 and OR 2.36), anaemia (significant at three months before diagnosis; LR+ 9.8 and OR 16.54), abdominal pain, rectal bleeding and constipation (significant at 3-6 months before diagnosis; LR+ 3.0 and OR 3.33; 3 months prior to the diagnosis LR+ 8.0 and OR 18.10) and weight loss (significant at three months before diagnosis; LR+ 14.9 and OR 14.53). CONCLUSION: Data capture and organization in ICPC permits study of the predictive value of RFE for CRC in primary care.


Subject(s)
Abdominal Pain/etiology , Anemia/etiology , Colorectal Neoplasms/diagnosis , Fatigue/etiology , Abdominal Pain/epidemiology , Aged , Aged, 80 and over , Anemia/epidemiology , Case-Control Studies , Colorectal Neoplasms/pathology , Constipation/epidemiology , Constipation/etiology , Early Detection of Cancer , Electronic Health Records , Fatigue/epidemiology , Female , General Practice , Humans , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Time Factors , Weight Loss
3.
Fam Pract ; 32(3): 297-304, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25911506

ABSTRACT

BACKGROUND: Better insight into frequent comorbidities in patients with chronic (≥ 3 months) low back pain (LBP) may help general practitioners when planning comprehensive care for these patients. OBJECTIVE: To prospectively study the prevalence of psychological, social, musculoskeletal and somatoform disorders in patients presenting with chronic non-specific LBP to general practitioners, in comparison to a contrast group of patients consulting in the same setting. METHODS: This case-control study is embedded in a historical cohort, based on a primary care practice-based research network. All the health problems presented by the patients were prospectively coded according to the international classification of primary care between 1996 and 2013. The prevalence of psychological, social, musculoskeletal and somatoform disorders presented by the adult patients from 1 year before the onset of chronic LBP to 2 years after onset was compared to that of matched patients consulting without LBP, using conditional logistic regressions. RESULTS: The 1511 patients with chronic LBP more often presented musculoskeletal disorders than the contrast group during the year before the onset of LBP and during the second year after it, with odds ratios (95%confidence intervals) of 1.39 (1.20-1.61) and 1.56 (1.35-1.81), respectively. They did not more often present psychological, social or non-musculoskeletal somatoform disorders. CONCLUSIONS: General practitioners should consider all the musculoskeletal symptoms when caring for patients with chronic LBP. Rather than systematically screening for specific psychological, social or somatoform disorders, they should consider with the patient how LBP and any type of potential comorbidity interfere with his/her daily functioning.


Subject(s)
General Practice/statistics & numerical data , Low Back Pain/epidemiology , Mental Disorders/epidemiology , Musculoskeletal Diseases/epidemiology , Somatoform Disorders/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Case-Control Studies , Chronic Disease , Comorbidity , Electronic Health Records/statistics & numerical data , Episode of Care , Female , Humans , Logistic Models , Low Back Pain/psychology , Male , Mental Disorders/psychology , Middle Aged , Musculoskeletal Diseases/psychology , Netherlands/epidemiology , Prevalence , Socioeconomic Factors , Somatoform Disorders/psychology , Young Adult
4.
Fam Pract ; 29(3): 299-314, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22308178

ABSTRACT

INTRODUCTION: This is an international study of the epidemiology of family medicine (FM) in three practice populations from the Netherlands, Malta and Serbia. Diagnostic associations between common reasons for encounter (RfEs) and episodes titles are compared and similarities and differences are described and analysed. METHODOLOGY: Participating family doctors (FDs) recorded details of all their patient contacts in an 'episode of care (EoC)' structure using the International Classification of Primary Care (ICPC). RfEs presented by the patient and episode titles (diagnostic labels of EoCs) were classified with ICPC. The relationships between RfEs and episode titles were studied with Bayesian methods. RESULTS: Distributions of diagnostic odds ratios (ORs) from the three population databases are presented and compared. CONCLUSIONS: ICPC, the RfE and the EoC data model are appropriate tools to study the process of diagnosis in FM. Distributions of diagnostic associations between RfEs and episode titles in the Transition Project international populations show remarkable similarities and congruencies in the process of diagnosis from both the RfE and the episode title perspectives. The congruence of diagnostic associations between populations supports the use of such data from one population to inform diagnostic decisions in another. Differences in the magnitude of such diagnostic associations are significant, and population-specific data are therefore desirable. We propose that both an international (common) and a local (health care system specific) content of FM exist and that the empirical distributions of diagnostic associations presented in this paper are a reflection of both these effects. We also observed that the frequency of exposure to such diagnostic challenges had a strong effect on the confidence intervals of diagnostic ORs reflecting these diagnostic associations. We propose that this constitutes evidence that expertise in FM is associated with frequency of exposure to diagnostic challenges.


Subject(s)
Diagnosis , Episode of Care , Family Practice/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Primary Health Care/statistics & numerical data , Bayes Theorem , Family Practice/classification , Humans , Internationality , Likelihood Functions , Malta , Medical Records Systems, Computerized , Netherlands , Odds Ratio , Patient-Centered Care , Primary Health Care/classification , Serbia
5.
Fam Pract ; 29(3): 315-31, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22308180

ABSTRACT

INTRODUCTION: This is a study of the process of diagnosis in family medicine (FM) in four practice populations from the Netherlands, Malta, Serbia and Japan. Diagnostic odds ratios (ORs) for common reasons for encounter (RfEs) and episode titles are used to study the process of diagnosis in international FM and to test the assumption that data can be aggregated across different age bands, practices and years of observation. METHODOLOGY: Participating family doctors (FDs) recorded details of all their patient contacts in an episode of care (EoC) structure using the International Classification of Primary Care (ICPC). RfEs presented by the patient and the diagnostic labels (EoC titles) recorded for each encounter were classified with ICPC. The relationships between RfEs and episode titles were expressed as ORs using Bayesian probability analysis to calculate the posterior (post-test) odds of an episode title given an RfE, at the start of a new EoC. RESULTS: The distributions of diagnostic ORs from the four population databases are tabled across age groups, years of observation and practices. CONCLUSIONS: There is a lot of congruence in diagnostic process and concepts between populations, across age groups, years of observation and FD practices, despite differences in the strength of such diagnostic associations. There is particularly little variability of diagnostic ORs across years of observation and between individual FD practices. Given our findings, it makes sense to aggregate diagnostic data from different FD practices and years of observation. Our findings support the existence of common core diagnostic concepts in international FM.


Subject(s)
Episode of Care , Family Practice/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Primary Health Care/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Asthma/diagnosis , Bayes Theorem , Child , Child, Preschool , Depression/diagnosis , Family Practice/classification , Humans , Infant , Internationality , Japan , Malta , Medical Records Systems, Computerized , Middle Aged , Netherlands , Odds Ratio , Primary Health Care/classification , Respiratory Sounds , Serbia , Time Factors , Tonsillitis/diagnosis , Young Adult
6.
Fam Pract ; 29(3): 283-98, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22308182

ABSTRACT

INTRODUCTION: This is a study of the epidemiology of family medicine (FM) in three practice populations from the Netherlands, Malta and Serbia. Incidence and prevalence rates, especially of reasons for encounter (RfEs) and episode labels, are compared. METHODOLOGY: Participating family doctors (FDs) recorded details of all their patient contacts in an episode of care (EoC) structure using electronic patient records based on the International Classification of Primary Care (ICPC), collecting data on all elements of the doctor-patient encounter. RfEs presented by the patient, all FD interventions and the diagnostic labels (EoCs labels) recorded for each encounter were classified with ICPC (ICPC-2-E in Malta and Serbia and ICPC-1 in the Netherlands). RESULTS: The content of family practice in the three population databases, incidence and prevalence rates of the common top 20 RfEs and EoCs in the three databases are given. CONCLUSIONS: Data that are collected with an episode-based model define incidence and prevalence rates much more precisely. Incidence and prevalence rates reflect the content of the doctor-patient encounter in FM but only from a superficial perspective. However, we found evidence of an international FM core content and a local FM content reflected by important similarities in such distributions. FM is a complex discipline, and the reduction of the content of a consultation into one or more medical diagnoses, ignoring the patient's RfE, is a coarse reduction, which lacks power to fully characterize a population's health care needs. In fact, RfE distributions seem to be more consistent between populations than distributions of EoCs are, in many respects.


Subject(s)
Episode of Care , Family Practice/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Primary Health Care/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Family Practice/classification , Female , Humans , Incidence , Infant , Internationality , Male , Malta , Medical Informatics , Medical Records Systems, Computerized , Middle Aged , Netherlands , Prevalence , Primary Health Care/classification , Serbia , Young Adult
7.
Inform Prim Care ; 20(1): 13-23, 2012.
Article in English | MEDLINE | ID: mdl-23336832

ABSTRACT

BACKGROUND: This is a study of the epidemiology of acute and chronic episodes of care (EoCs) in the Transition Project in three countries. We studied the duration of EoCs for acute and chronic health problems and the relationship of incidence to prevalence rates for these EoCs. METHOD: The Transition Project databases collect data on all elements of the doctor-patient encounter in family medicine. Family doctors code these elements using the International Classification of Primary Care. We used the data from three practice populations to study the duration of EoCs and the ratio of incidence to prevalence for common health problems. RESULTS: We found that chronic health problems tended to have proportionately longer duration EoCs, as expected, but also a lower incidence to prevalence rate ratio than acute health problems. Thus, the incidence to prevalence index could be used to define a chronic condition as one with a low ratio, below a defined threshold. CONCLUSIONS: Chronic health problems tend to have longer duration EoCs, proportionately, across populations. This result is expected, but we found important similarities and differences which make defining a problem as chronic on the basis of time rather difficult. The ratio of incidence to prevalence rates has potential to categorise health problems into acute or chronic categories, at different ratio thresholds (such as 20, 30 or 50%). It seems to perform well in this study of three family practice populations, and is proposed to the scientific community for further evaluation.


Subject(s)
Chronic Disease/epidemiology , Chronic Disease/therapy , Episode of Care , Family Practice/statistics & numerical data , Acute Disease/epidemiology , Acute Disease/therapy , Electronic Health Records/statistics & numerical data , Europe/epidemiology , Humans , Incidence , Prevalence
8.
Inform Prim Care ; 20(1): 25-39, 2012.
Article in English | MEDLINE | ID: mdl-23336833

ABSTRACT

BACKGROUND: This is a study of the relationships between common reasons for encounter (RfEs) and common diagnoses (episode titles) within episodes of care (EoCs) in family practice populations in four countries. METHOD: Participating family doctors (FDs) recorded details of all their patient contacts in an EoC structure using the International Classification of Primary Care (ICPC), including RfEs presented by the patient, and the FDs' diagnostic labels. The relationships between RfEs and episode titles were studied using Bayesian methods. RESULTS: The RfE 'cough' is a strong, reliable predictor for the diagnoses 'cough' (a symptom diagnosis), 'acute bronchitis', 'URTI' and 'acute laryngitis/tracheitis' and a less strong, but reliable predictor for 'sinusitis', 'pneumonia', 'influenza', 'asthma', 'other viral diseases (NOS)', 'whooping cough', 'chronic bronchitis', 'wheezing' and 'phlegm'. The absence of cough is a weak but reliable predictor to exclude a diagnosis of 'cough', 'acute bronchitis' and 'tracheitis'. Its presence allows strong and reliable exclusion of the diagnoses 'gastroenteritis', 'no disease' and 'health promotion/prevention', and less strong exclusion of 'adverse effects of medication'. The RfE 'sadness' is a strong, reliable predictor for the diagnoses 'feeling sad/depressed' and 'depressive disorder'. It is a less strong, but reliable predictor of a diagnosis of 'acute stress reaction'. The absence of sadness (as a symptom) is a weak but reliable predictor to exclude the symptom diagnosis 'feeling sad/depressed'. Its presence does not support the exclusion of any diagnosis. CONCLUSIONS: We describe clinically and statistically significant diagnostic associations observed between the RfEs 'cough' and 'sadness', presenting as a new problem in family practice, and all the episode titles in ICPC.


Subject(s)
Cough/diagnosis , Depression/diagnosis , Episode of Care , Family Practice/statistics & numerical data , Bayes Theorem , Cough/epidemiology , Depression/epidemiology , Diagnosis, Differential , Electronic Health Records/statistics & numerical data , Europe/epidemiology , Humans , Incidence , Japan/epidemiology , Likelihood Functions , Prevalence
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