Exploring factors of diagnostic delay for patients with bipolar disorder: a population-based cohort study.

BACKGROUND: Bipolar disorder if untreated, has severe consequences: severe role impairment, higher health care costs, mortality and morbidity. Although effective treatment is available, the delay in diagnosis might be as long as 10-15 years. In this study, we aim at documenting the length of the diagnostic delay in Hungary and identifying factors associated with it. METHODS: Kaplan-Meier survival analysis and Cox proportional hazards model was employed to examine factors associated with the time to diagnosis of bipolar disorder measured from the date of the first presentation to any specialist mental healthcare institution. We investigated three types of factors associated with delays to diagnosis: demographic characteristics, clinical predictors and patient pathways (temporal sequence of key clinical milestones). Administrative data were retrieved from specialist care; the population-based cohort includes 8935 patients from Hungary. RESULTS: In the sample, diagnostic delay was 6.46 years on average. The mean age of patients at the time of the first bipolar diagnosis was 43.59 years. 11.85% of patients were diagnosed with bipolar disorder without any delay, and slightly more than one-third of the patients (35.10%) were never hospitalized with mental health problems. 88.80% of the patients contacted psychiatric care for the first time in outpatient settings, while 11% in inpatient care. Diagnostic delay was shorter, if patients were diagnosed with bipolar disorder by non-specialist mental health professionals before. In contrast, diagnoses of many psychiatric disorders received after the first contact were coupled with a delayed bipolar diagnosis. We found empirical evidence that in both outpatient and inpatient care prior diagnoses of schizophrenia, unipolar depression without psychotic symptoms, and several disorders of adult personality were associated with increased diagnostic delay. Patient pathways played an important role as well: the hazard of delayed diagnosis increased if patients consulted mental healthcare specialists in outpatient care first or they were hospitalized. CONCLUSIONS: We systematically described and analysed the diagnosis of bipolar patients in Hungary controlling for possible confounders. Our focus was more on clinical variables as opposed to factors controllable by policy-makers. To formulate policy-relevant recommendations, a more detailed analysis of care pathways and continuity is needed.

Lower fragmentation of coordination in primary care is associated with lower prescribing drug costs-lessons from chronic illness care in Hungary.

Improving patient care coordination is critical for achieving better health outcome measures at reduced cost. However, assessing the results of patient care coordination at system level is lacking. In this report, based on administrative healthcare data, a provider-level care coordination measure is developed to assess the function of primary care at system level. In a sample of 31 070 patients with diabetes we find that the type of collaborative relationship general practitioners build up with specialists is associated with prescription drug costs. Regulating access to secondary care might result in cost savings through improved care coordination.

Formal Professional Relationships Between General Practitioners and Specialists in Shared Care: Possible Associations with Patient Health and Pharmacy Costs.

BACKGROUND: Shared care in chronic disease management aims at improving service delivery and patient outcomes, and reducing healthcare costs. The introduction of shared-care models is coupled with mixed evidence in relation to both patient health status and cost of care. Professional interactions among health providers are critical to a successful and efficient shared-care model. OBJECTIVE: This article investigates whether the strength of formal professional relationships between general practitioners (GPs) and specialists (SPs) in shared care affects either the health status of patients or their pharmacy costs. In strong GP-SP relationships, the patient health status is expected to be high, due to efficient care coordination, and the pharmacy costs low, due to effective use of resources. METHODS: This article measures the strength of formal professional relationships between GPs and SPs through the number of shared patients and proxies the patient health status by the number of comorbidities diagnosed and treated. To test the hypotheses and compare the characteristics of the strongest GP-SP connections with those of the weakest, this article concentrates on diabetes-a chronic condition where patient care coordination is likely important. Diabetes generates the largest shared patient cohort in Hungary, with the highest frequency of specialist medication prescriptions. RESULTS: This article finds that stronger ties result in lower pharmacy costs, but not in higher patient health status. CONCLUSION: Overall drug expenditure may be reduced by lowering patient care fragmentation through channelling a GP's patients to a small number of SPs.