Factors related to self-rated health: a survey among patients and their general practitioners.

OBJECTIVE: To explore associations between general practice patients' SRH and symptoms, diagnoses, chronic conditions, unexplained conditions, and life stressors. DESIGN: A cross-sectional study. Data were collected from GP and patient questionnaires. SETTING: General practices in Southeast Norway. SUBJECTS: 47 general practitioners (GPs) who included 866 consecutive patients. MAIN OUTCOME MEASURES: SRH was measured with a single question from the COOP-WONCA overall health chart and dichotomized into good/poor SRH. Binary logistic regression models were used in the analyses. RESULTS: Poor SRH was reported by 48% of the patients in the past week. A higher prevalence of poor SRH was found for women, middle-aged, recipients of social security grants, patients diagnosed with asthenia, lower back pain, and depression/anxiety, and for patients with reported life stressors and unexplained conditions. We found an almost linear association between the number of symptoms and the likelihood of reporting poor SRH. The probability of reporting poor SRH increased along with an increasing number of symptoms for common diagnoses. In a multivariate analysis, the only number of symptoms, being in receipt of social security grants and being retired was associated with poor SRH. CONCLUSION: The likelihood of reporting poor SRH increased with an increasing number of symptoms, partly independent of the diagnosis given by GPs. This result coincides with our previous findings of a strong association between the number of symptoms, function, and health. The symptom burden thus appears to be an important factor for SRH among patients in general practice.KEY POINTSThere is a high prevalence of poor SRH in general practice patients.The likelihood of reporting poor SRH is partly independent of the diagnosis given.The number of symptoms was the factor strongest associated with poor SRH.

Patients in general practice share a common pattern of symptoms that is partly independent of the diagnosis.

OBJECTIVE: To describe self-reported symptoms among patients in general practice and to explore the relationships between symptoms experienced by patients and diagnoses given by general practitioners. DESIGN: Doctor-patient questionnaires focusing on patients' self-reported symptoms during the past 7 days and the doctors' diagnoses. SETTING: General practices in urban and suburban areas in Southeast Norway. SUBJECTS: Forty-seven general practitioners who included 866 patients aged ≥18 years on a random day in practice. RESULTS: The most frequently reported symptoms were tiredness (46%), lower back pain (43%), neck pain (41%), headache (39%), shoulder pain (36%), and sleep problems (35%). Women had a significantly higher prevalence than men for 16 of 38 symptoms (p < 0.05). The mean number of symptoms was 7.5 (range, 0-32; women, 8.1; men, 6.5, p < 0.05). Regression analysis showed that patients who received a social security grant had 59% more symptoms than those who were employed and that people with asthenia and depression/anxiety had 44% and 23% more symptoms, respectively than those with all other diagnoses. The patterns of symptoms reported showed similar patterns across the five most prevalent diagnoses. CONCLUSIONS: Patients in general practice report a number of symptoms and share a common pattern of symptoms, which appear to be partly independent of the diagnoses given. These findings suggest that symptoms are not necessarily an indication of disease.KEY POINTSPatients consulting general practitioners have a high number of self-reported symptoms.The most frequent symptoms are tiredness, lower back pain, neck pain, headache, shoulder pain, and sleep problems.Patients diagnosed with asthenia and depression/anxiety report the highest number of symptoms.Selected diagnoses show similar patterns in symptom distribution.Symptoms are not necessarily an indication of disease.

Medically unexplained conditions considered by patients in general practice.

BACKGROUND: Patients frequently present with multiple and 'unexplained' symptoms, often resulting in complex consultations. To better understand these patients is a challenge to health care professionals, in general, and GPs, in particular. OBJECTIVES: In our research on symptom reporting, we wanted to explore whether patients consider that they may suffer from conditions commonly regarded as unexplained, and we explored associations between these concerns and symptom load, life stressors and socio-demographic factors. METHODS: Consecutive, unselected patients in general practice completed questionnaires addressing eight conditions commonly regarded as unexplained (amalgam poisoning, Candida syndrome, fibromyalgia, food intolerance, electromagnetic hypersensitivity, burnout syndrome, chronic fatigue syndrome and irritable bowel syndrome). With logistic regression, we analysed associations with symptom load, burden of life stressors with negative impact on present health and socio-demographic variables. RESULTS: Out of the 909 respondents (response rate = 88.8%), 863 had complete data. In total, 39.6% of patients had considered that they may suffer from one or more unexplained conditions (UCs). These concerns were strongly and positively associated with recent symptom load and number of life stressors. If we excluded burnout and food intolerance, corresponding associations were found. CONCLUSION: Patients frequently considered that they may suffer from UCs. The likelihood of such concerns strongly increased with an increasing symptom load and with the number of life stressors with negative impact on present health. Hence, the number of symptoms may be a strong indicator of whether patients consider their symptoms part of such often controversial multisymptom conditions.

Multiple symptoms and medically unexplained symptoms--closely related concepts in general practitioners' evaluations. A linked doctor-patient study.

OBJECTIVES: Symptoms for which doctors cannot find a clear medical explanation, medically unexplained symptoms (MUS), represent a challenge in medical practice. Recent proposals to define this phenomenon are based on patients' symptom count, without distinguishing between medically explained and unexplained symptoms. We describe how general practitioners (GPs) evaluate multiple and medically unexplained symptoms, and how these dimensions are interconnected. Furthermore, we explore how the number of patient-reported symptoms is associated with the two axes. METHODS: A multi-centre, doctor-patient-linked cross-sectional study in general practice. GPs rated consecutive patients along two 11 point ordinal scales assessing multiple (Multi-scale) and medically unexplained symptoms (MUS-scale). Patients completed a questionnaire addressing 38 symptoms experienced during the previous week and 866 linked questionnaires were available for analysis. RESULTS: GPs used the whole range of the scales, rating only a minority of the patients as "0 (not at all)". The two scales were highly correlated (r=0.80), with a quadratically weighted kappa of 0.73, reflecting substantial agreement between the scales. MUS-scores were highest in middle age. There was a tendency that Multi-scores increased with age and that correlations between the scales decreased with age, in both sexes, although partly non-significant. The number of patient-reported symptoms was moderately correlated with the two scales. CONCLUSION: Multisymptomatology captures MUS as a continuous construct to a great degree in GPs' clinical evaluations, although the two cannot be regarded as the same phenomenon. Patient-reported symptoms seem to be a less valid proxy for MUS.

Symptom reporting in a general population in Norway: results from the Ullensaker study.

OBJECTIVE: To determine the number of symptoms experienced in an adult population and their relationship with self- reported health, demographic, and lifestyle factors. DESIGN: A postal questionnaire addressing 23 different symptoms, health, demographic, and lifestyle factors. SETTING: The community of Ullensaker, Norway, in 2004. Subjects. 3325 subjects (participation rate = 54.4%). MAIN OUTCOME MEASURE: Number of self-reported symptoms. RESULTS: At least one symptom was reported by 91.9% of the participants, 46.7% reported six or more, and 17.3% reported 10 or more symptoms. Symptom reporting was frequent in all age groups, also among young people. Women reported a greater mean number of symptoms than men (6.7 vs. 5.1). Those reporting poor health, receipt of social security benefit, unemployment, low education, or obesity had most symptoms. The proportion of respondents with these characteristics increased almost linearly with increasing number of symptoms. According to an adjusted multivariate model, self-reported overall health explained 28.2 % of the variance in the number of symptoms. CONCLUSION: A large proportion of the responders reported a high number of symptoms. A simple method of counting symptoms may be useful in approaching patients in general and multi-symptom patients in particular, because the total burden of symptoms is strongly associated with the patient's self-reported health and may even be a predictor of future disability.

A strong association between non-musculoskeletal symptoms and musculoskeletal pain symptoms: results from a population study.

BACKGROUND: There is a lack of knowledge about the pattern of symptom reporting in the general population as most research focuses on specific diseases or symptoms. The number of musculoskeletal pain sites is a strong predictor for disability pensioning and, hence, is considered to be an important dimension in symptom reporting. The simple method of counting symptoms might also be applicable to non-musculoskeletal symptoms, rendering further dimensions in describing individual and public health. In a general population, we aimed to explore the association between self-reported non-musculoskeletal symptoms and the number of pain sites. METHODS: With a cross-sectional design, the Standardised Nordic Questionnaire and the Subjective Health Complaints Inventory were used to record pain at ten different body sites and 13 non-musculoskeletal symptoms, respectively, among seven age groups in Ullensaker, Norway (n = 3,227). RESULTS: Results showed a strong, almost linear relationship between the number of non-musculoskeletal symptoms and the number of pain sites (r = 0.55). The number and type of non-musculoskeletal symptoms had an almost equal explanatory power in the number of pain sites reported (27.1% vs. 28.2%). CONCLUSION: The linear association between the number of non-musculoskeletal and musculoskeletal symptoms might indicate that the symptoms share common characteristics and even common underlying causal factors. The total burden of symptoms as determined by the number of symptoms reported might be an interesting generic indicator of health and well-being, as well as present and future functioning. Research on symptom reporting might also be an alternative pathway to describe and, possibly, understand the medically unexplained multisymptom conditions.