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1.
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
2.
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
3.
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
4.
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
5.
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
6.
Ann Fam Med ; 6(6): 528-33, 2008.
Article in English | MEDLINE | ID: mdl-19001305

ABSTRACT

PURPOSE: The frequency and outcome of breast symptoms have not been well characterized in primary care settings. To enhance and inform physician practice, this study aims to establish the proportion of visits and resultant diagnoses by age by examining longitudinal data on breast-related reasons for encounter. METHODS: We used data from a prospective longitudinal sample of patients seeking care in Dutch family physician offices between 1985 and 2003 to provide routine family practice data on breast symptoms as the reason for encounter; all visits were coded using the International Classification of Primary Care. Data on breast symptom prevalence are based upon 84,285 active female patients and 367,834 total encounters. RESULTS: Overall breast symptoms were reported in about 3% of all visits by female patients (29.7 per 1,000 active female patients per year); breast pain and breast mass were the most common breast-related complaints. Breast symptom complaints were highest among women aged 25 to 44 years (48 of 1,000) and among women aged 65 years and older (33 per 1,000). Of the women complaining of breast symptoms, 81 (3.2%) had breast cancer diagnosed. Breast mass had a markedly elevated positive likelihood ratio for breast cancer (15.04; 95% confidence interval, 11.74-19.28). CONCLUSIONS: As expected, of patients with breast symptoms only a small subset was subsequently given a diagnosis of breast cancer (3.2%); however, the presence of a breast mass was associated with an elevated likelihood of breast cancer. These data illustrate the use of systematic data collection and classification from primary care offices to extract information regarding disease symptoms and diagnoses.


Subject(s)
Breast Diseases/diagnosis , Breast Neoplasms/diagnosis , Primary Health Care/methods , Adult , Age Distribution , Aged , Breast/pathology , Breast/physiopathology , Breast Diseases/epidemiology , Breast Diseases/psychology , Breast Neoplasms/epidemiology , Breast Neoplasms/psychology , Female , Humans , Likelihood Functions , Middle Aged , Netherlands/epidemiology , Prospective Studies , Referral and Consultation , Young Adult
7.
Fam Pract ; 25(4): 312-7, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18562335

ABSTRACT

The International Classification of Primary Care (ICPC) has, since its introduction in 1987, been quite successful. Now in its second revised version, it has been translated in 22 languages, accepted by the World Health Organization (WHO) as a member of the Family of International Classifications, and is being widely used both in routine daily practice and in research. In this contribution, it is explained that ICPC was designed as a theoretical classification, and that it has especially great potential when used (1) supported by the ICPC2/ICD10 Thesaurus, (2) in sufficiently large studies to allow all classes to be observed often enough to provide reliable data, and (3) in studies based on data on episodes of care, rather than encounter data only. Under these conditions, the likelihood ratios of symptoms given a diagnosis, and of co-morbidity become available, which define the clinical content of family practice.


Subject(s)
Episode of Care , Primary Health Care/classification , Forms and Records Control , Humans , International Classification of Diseases , International Cooperation , Medical Records Systems, Computerized , Vocabulary, Controlled , World Health Organization
8.
Stud Health Technol Inform ; 107(Pt 1): 425-9, 2004.
Article in English | MEDLINE | ID: mdl-15360848

ABSTRACT

The International Classification of Primary Care (ICPC) is a clinical classification containing 726 clinical concepts, available in over 20 languages, augmented by links to ICD-10 concepts. It is employed in clinical information systems in several European countries, Israel, Japan, and Australia. In translating ICPC, it has been challenging to manage the flow of multilingual information, maintain its quality, and optimize its portability, particularly in light of the numerous character encodings used to represent its content. The ICPC Multilingual Collaboratory (IMC) is a World Wide Web-based environment, created to allow the viewing, maintenance, and translation of ICPC content by a dispersed international editorial staff. Based upon open-source software, it represents ICPC content using the Unicode standard for character encoding. The system implements three interfaces to ICPC data: 1) a password-protected editorial interface which instantiates a hierarchical authority model and communication channels for review and control of content, including a means of up-loading new candidate translations; 2) an openly accessible read-only interface, with e-mail access to the editors (providing another level of content review); and, 3) a management interface for the system administrator. The completed system powerfully demonstrates the ability of the World Wide Web, open-source software, and Unicode to expedite and simplify international multilingual collaboration, even in a world in which Unicode support is incomplete on existing computing platforms.


Subject(s)
Internet , Multilingualism , Primary Health Care/classification , Programming Languages , Translating , Vocabulary, Controlled , Female , Humans , Male , Software , User-Computer Interface
9.
J Med Syst ; 27(3): 239-46, 2003 Jun.
Article in English | MEDLINE | ID: mdl-12705456

ABSTRACT

The creation of an electronic patient record (EPR) system with a user-friendly interface based on the concept of the episode of care was considered an urgent priority in the present Greek context, where a Health Care Reform program is in progress. This paper reports the procedures of developing an EPR system, and outlines some of its essentials and key issues. We performed a systematic review and analyzed the perceptions and patterns of use of existing EPR systems among Greek general practitioners. On the basis of this analysis, Transhis was selected using defined criteria for appropriateness, efficiency, and feasibility for general practice as a prototype, for creating a Windows-based EPR system using the International Classification of Primary Care (ICPC-2) and International Classification of Diseases (ICD-10) as classifications. The new EPR system seems appropriate for use within the current Greek primary care setting. Further studies are required for its evaluation.


Subject(s)
Ambulatory Care Information Systems , Decision Making, Computer-Assisted , Family Practice/organization & administration , Medical Records Systems, Computerized , Episode of Care , Evaluation Studies as Topic , Family Practice/methods , Greece , Humans , International Classification of Diseases , Medical Records Systems, Computerized/standards , Medical Records Systems, Computerized/statistics & numerical data , Quality Assurance, Health Care , Software
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