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Variation in plasma calcium analysis in primary care in Sweden--a multilevel analysis.

ABSTRACT: BACKGROUND: Primary hyperparathyroidism (pHPT) is a common disease that often remains undetected and causes severe disturbance especially in postmenopausal women. Therefore, national recommendations promoting early pHPT detection by plasma calcium (P-Ca) have been issued in Sweden. In this study we aimed to investigate variation of P-Ca analysis between physicians and health care centres (HCCs) in primary care in county of Skaraborg, Sweden. METHODS: In this cross sectional study of patients' records during 2005 we analysed records from 154 629 patients attending 457 physicians at 24 HCCs. We used multilevel logistic regression analysis (MLRA) and adjusted for patient, physician and HCC characteristics. Differences were expressed as median odds ratio (MOR). RESULTS: There was a substantial variation in number of P-Ca analyses between both HCCs (MORHCC 1.65 [1.44-2.07]) and physicians (MORphysician 1.95 [1.85-2.08]). The odds for a P-Ca analysis were lower for male patients (OR 0.80 [0.77-0.83]) and increased with the number of diagnoses (OR 25.8 [23.5-28.5]). Sex of the physician had no influence on P-Ca test ordering (OR 0.93 [0.78-1.09]). Physicians under education ordered most P-Ca analyses (OR 1.69 [1.35-2.24]) and locum least (OR 0.73 [0.57-0.94]). More of the variance was attributed to the physician level than the HCC level. Different mix of patients did not explain this variance between physicians. Theoretically, if a patient were able to change both GP and HCC, the odds of a P-Ca analysis would in median increase by 2.45. Including characteristics of the patients, physicians and HCCs in the MLRA model did not explain the variance. CONCLUSIONS: The physician level was more important than the HCC level for the variation in P-Ca analysis, but further exploration of unidentified contextual factors is crucial for future monitoring of practice variation.

SUBMITTER: Dalemo S

PROVIDER: S-EPMC2889884 | biostudies-other | 2010

REPOSITORIES: biostudies-other

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Variation in plasma calcium analysis in primary care in Sweden--a multilevel analysis.

Dalemo Sofia S Hjerpe Per P Ohlsson Henrik H Eggertsen Robert R Merlo Juan J Boström Kristina Bengtsson KB

BMC family practice 20100530

<h4>Background</h4>Primary hyperparathyroidism (pHPT) is a common disease that often remains undetected and causes severe disturbance especially in postmenopausal women. Therefore, national recommendations promoting early pHPT detection by plasma calcium (P-Ca) have been issued in Sweden. In this study we aimed to investigate variation of P-Ca analysis between physicians and health care centres (HCCs) in primary care in county of Skaraborg, Sweden.<h4>Methods</h4>In this cross sectional study of ...[more]

PMID: 20509973

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Project description:ObjectiveTo explore whether responses to questions in surveys of patients that purport to assess the performance of general practices or doctors reflect differences between practices, doctors, or the patients themselves.DesignSecondary analysis of data from a study of access to general practice, combining data from a survey of patients with information about practice organisation and doctors consulted, and using multilevel modelling at practice, doctor, and patient level.SettingNine primary care trusts in England.Participants4573 patients who consulted 150 different doctors in 27 practices.Main outcome measuresOverall satisfaction; experience of wait for an appointment; reported access to care; satisfaction with communication skills.ResultsThe experience based measure of wait for an appointment was more discriminating between practices (practice level accounted for 20.2% (95% confidence interval 9.1% to 31.3%) of variance) than was the overall satisfaction measure (practice level accounted for 4.6% (1.6% to 7.6%) of variance). Only 6.3% (3.8% to 8.9%) of the variance in the doctors' communication skills measure was due to differences between doctors; 92.4% (88.5% to 96.4%) of the variance occurred at the level of the patient (including differences between patients' perceptions and random variation). At least 79% of the variance on all measures occurred at the level of the patient, and patients' age, sex, ethnicity, and housing and employment status explained some of this variation. However, adjustment for patients' characteristics made very little difference to practices' scores or the ranking of individual practices.ConclusionsAnalyses of surveys of patients should take account of the hierarchical nature of the data by using multilevel models. Measures related to patients' experience discriminate more effectively between practices than do measures of general satisfaction. Surveys of patients' satisfaction fail to distinguish effectively between individual doctors because most of the variation in doctors' reported performance is due to differences between patients and random error rather than differences between doctors. Although patients' reports of satisfaction and experience are systematically related to patients' characteristics such as age and sex, the effect of adjusting practices' scores for the characteristics of their patients is small.

Project description:BackgroundWhether patients receive low-value hospital care (care that is not expected to provide a net benefit) may be influenced by unmeasured factors at the hospital they attend or the hospital's Local Health District (LHD), or the patients' areas of residence. Multilevel modelling presents a method to examine the effects of these different levels simultaneously and assess their relative importance to the outcome. Knowing which of these levels has the greatest contextual effects can help target further investigation or initiatives to reduce low-value care.MethodsWe conducted multilevel logistic regression modelling for nine low-value hospital procedures. We fit a series of six models for each procedure. The baseline model included only episode-level variables with no multilevel structure. We then added each level (hospital, LHD, Statistical Local Area [SLA] of residence) separately and used the change in the c statistic from the baseline model as a measure of the contribution of the level to the outcome. We then examined the variance partition coefficients (VPCs) and median odds ratios for a model including all three levels. Finally, we added level-specific covariates to examine if they were associated with the outcome.ResultsAnalysis of the c statistics showed that hospital was more important than LHD or SLA in explaining whether patients receive low-value care. The greatest increases were 0.16 for endoscopy for dyspepsia, 0.13 for colonoscopy for constipation, and 0.14 for sentinel lymph node biopsy for early melanoma. SLA gave a small increase in c compared with the baseline model, but no increase over the model with hospital. The VPCs indicated that hospital accounted for most of the variation not explained by the episode-level variables, reaching 36.8% (95% CI, 31.9-39.0) for knee arthroscopy. ERCP (8.5%; 95% CI, 3.9-14.7) and EVAR (7.8%; 95% CI, 2.9-15.8) had the lowest residual variation at the hospital level. The variables at the hospital, LHD and SLA levels that were available for this study generally showed no significant effect.ConclusionsInvestigations into the causes of low-value care and initiatives to reduce low-value care might best be targeted at the hospital level, as the high variation at this level suggests the greatest potential to reduce low-value care.

Project description:BACKGROUND: Despite evidence for the effectiveness of interventions to modify lifestyle behaviours in the primary health care (PHC) setting, assessment and intervention for these behaviours remains low in routine practice. Little is known about the relative importance of various determinants of practice.This study aimed to examine the relative importance of provider characteristics and attitudes, patient characteristics and consultation factors in determining the rate of assessment and intervention for lifestyle risk factors in PHC. METHODS: A prospective audit of assessment and intervention for lifestyle risk factors was undertaken by PHC nurses and allied health providers (n = 57) for all patients seen (n = 732) over a two week period. Providers completed a survey to assess key attitudes related to addressing lifestyle issues. Multi-level logistic regression analysis of patient audit records was undertaken. Associations between variables from both data sources were examined, together with the variance explained by patient and consultation (level 1) and provider (level 2) factors. RESULTS: There was significant variance between providers in the assessment and intervention for lifestyle risk factors. The consultation type and reason for the visit were the most important in explaining the variation in assessment practices, however these factors along with patient and provider variables accounted for less than 20% of the variance. In contrast, multi-level models showed that provider factors were most important in explaining the variance in intervention practices, in particular, the location of the team in which providers worked (urban or rural) and provider perceptions of their effectiveness and accessibility of support services. After controlling for provider variables, patients' socio-economic status, the reason for the visit and providers' perceptions of the 'appropriateness' of addressing risk factors in the consultation were all significantly associated with providing optimal intervention. Together, measured patient consultation and provider variables accounted for most (80%) of the variation in intervention practices between providers. CONCLUSION: The findings highlight the importance of provider factors such as beliefs and attitudes, team location and work context in understanding variations in the provision of lifestyle intervention in PHC. Further studies of this type are required to identify variables that improve the proportion of variance explained in assessment practices.

Project description:BACKGROUND:The growing movement toward more accountable care delivery and the increasing number of people with chronic illnesses underscores the need for primary care practices to engage patients in their own care. OBJECTIVE:For adult primary care practices seeing patients with diabetes and/or cardiovascular disease, we examined the relationship between selected practice characteristics, patient engagement, and patient-reported outcomes of care. DESIGN:Cross-sectional multilevel observational study of 16 randomly selected practices in two large accountable care organizations (ACOs). PARTICIPANTS:Patients with diabetes and/or cardiovascular disease (CVD) who met study eligibility criteria (n?=?4368) and received care in 2014 were randomly selected to complete a patient activation and PRO survey (51% response rate; n?=?2176). Primary care team members of the 16 practices completed surveys that assessed practice culture, relational coordination, and teamwork (86% response rate; n?=?411). MAIN MEASURES:Patient-reported outcomes included depression (PHQ-4), physical functioning (PROMIS SF12a), and social functioning (PROMIS SF8a), the Patient Assessment of Chronic Illness Care instrument (PACIC-11), and the Patient Activation Measure instrument (PAM-13). Patient-level covariates included patient age, gender, education, insurance coverage, limited English language proficiency, blood pressure, HbA1c, LDL-cholesterol, and disease comorbidity burden. For each of the 16 practices, patient-centered culture and the degree of relational coordination among team members were measured using a clinician and staff survey. The implementation of shared decision-making activities in each practice was assessed using an operational leader survey. KEY RESULTS:Having a patient-centered culture was positively associated with fewer depression symptoms (odds ratio [OR]?=?1.51; confidence interval [CI] 1.04, 2.19) and better physical function scores (OR?=?1.85; CI 1.25, 2.73). Patient activation was positively associated with fewer depression symptoms (OR?=?2.26; CI 1.79, 2.86), better physical health (OR?=?2.56; CI 2.00, 3.27), and better social health functioning (OR?=?4.12; CI 3.21, 5.29). Patient activation (PAM-13) mediated the positive association between patients' experience of chronic illness care and each of the three patient-reported outcome measures-fewer depression symptoms, better physical health, and better social health. Relational coordination and shared decision-making activities reported by practices were not significantly associated with higher patient-reported outcome scores. CONCLUSIONS:Diabetic and CVD patients who received care from ACO-affiliated practices with more developed patient-centered cultures reported lower PHQ-4 depression symptom scores and better physical functioning. Diabetic and CVD patients who were more highly activated to participate in their care reported lower PHQ-4 scores and better physical and social outcomes of care.

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Variation in plasma calcium analysis in primary care in Sweden--a multilevel analysis.

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Variation in plasma calcium analysis in primary care in Sweden--a multilevel analysis.

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