Healthcare costs associated with elderly chronic pain patients in primary care.

OBJECTIVE: This study aimed to estimate the total healthcare costs associated with elderly chronic pain (CP) patients, define cost-related factors in this population, and examine cost evolution over two years. METHOD: This is an ancillary study from the CP S.AGE subcohort, including non-institutionalized patients aged over 65 suffering from CP. 1190, 1108, 1042, and 950 patients were reviewed with available healthcare data at follow-up visits at 6, 12, 18, and 24 months, respectively. Healthcare components included medical and paramedical visits, medication prescription, and hospitalization. RESULT: The mean total cost in the first semester was estimated at 2548 ± 8885 per patient. Hospitalization represented the largest cost component (50%) followed by paramedical care (24%), medications (21%), and medical visits (5%). Significant cost-associated factors were comorbidity (OR 1.49, 95% CI 1.35-1.64), dependency in daily activities (OR 1.85, 95% CI 1.39-2.47), probable depression (OR 1.71, 95% CI 1.09-2.69), permanent pain (OR 1.48, 95% CI 1.18-1.86), neuropathic pain (OR 1.94, 95% CI 1.38-2.73), living alone (OR 1.45, 95% CI 1.16-1.82), chronic back pain (OR 1.35, 95% CI 1.07-1.71), and vertebral fracture/compression (OR 1.47, 95% CI 1.08-2.01). Healthcare costs increased significantly by 48% (p < 0.0001) during follow-up namely due to hospitalizations. Elevated costs were associated with a higher risk of future hospitalization (OR 1.95, CI 95% 1.33-2.87). CONCLUSION: Healthcare costs increased rapidly over time, largely due to hospitalization. Prevention strategies to limit hospitalizations in elderly appear to be the most useful in order to achieve cost savings in the future.

Do male and female general practitioners differently prescribe chronic pain drugs to older patients?

OBJECTIVE: The aim of this study was to identify the relationship between general practitioner (GP) gender and prescribing practice of chronic pain drugs in older adults. DESIGN: Cross-sectional observational study. SETTING: GPs in private practice throughout France. SUBJECTS: Two hundred and sixty GPs (80.8% male and 19.2% female) enrolled 1,379 (28.4% male and 71.6% female) noninstitutionalized patients over 65 years of age, suffering from chronic pain. METHODS: A comparison of prescribing habits between male and female GPs was performed on baseline data with univariate analyses followed by multivariate analyses after taking several confounding factors into account. RESULTS: No significant differences were found when comparing male and female GPs' prescriptions of World Health Organization step 1, step 2, and step 3 analgesics. Male GPs were more likely than female GPs to prescribe antineuropathic pain drugs (11.3% of patients with male GPs versus 4.8% of patients with female GPs, P = 0.004) and less likely to prescribe symptomatic slow-acting drugs for osteoarthritis (SySADOA) (10.2% of male GPs' patients versus 18.8% of female GPs' patients, P = 0.0003). After adjusting for several confounding factors, male GPs were still more likely to prescribe antineuropathic pain drugs (OR 2.43, 95% CI 1.15-5.14, P = 0.02) and less likely to prescribe symptomatic slow-acting drugs (OR 0.64, 95% CI 0.42-0.97, P = 0.03). CONCLUSION: Male and female GPs prescribe analgesics in a similar manner. However, male GPs prescribe more antineuropathic pain drugs, but fewer SySADOA.

Predicting falls in elderly patients with chronic pain and other chronic conditions.

BACKGROUND: The aim was to identify fall predictors in elderly suffering from chronic pain (CP) and to test their applicability among patients with other chronic conditions. METHODS: 1,379 non-institutionalized patients aged 65 years and older who were suffering from CP (S.AGE CP sub-cohort) were monitored every 6 months for 1 year. Socio-demographic, clinical and pain data and medication use were assessed at baseline for the association with falls in the following year. Falls were assessed retrospectively at each study visit. Logistic regression analyses were performed to identify fall predictors. The derived model was applied to two additional S.AGE sub-cohorts: atrial fibrillation (AF) (n = 1,072) and type-2 diabetes mellitus (T2DM) (n = 983). RESULTS: Four factors predicted falls in the CP sub-cohort: fall history (OR: 4.03, 95 % CI 2.79-5.82), dependency in daily activities (OR: 1.81, 95 % CI 1.27-2.59), age ≥75 (OR: 1.53, 95 % CI 1.04-2.25) and living alone (OR: 1.73, 95 % CI 1.24-2.41) (Area Under the Curve: AUC = 0.71, 95 % CI 0.67-0.75). These factors were relevant in AF (AUC = 0.71, 95 % CI 0.66-0.75) and T2DM (AUC = 0.67, 95 % CI 0.59-0.73) sub-cohorts. Fall predicted probability in CP, AF and T2DM sub-cohorts increased from 7, 7 and 6 % in patients with no risk factors to 59, 66 and 45 % respectively, in those with the four predictors. Fall history was the strongest predictor in the three sub-cohorts. CONCLUSION: Fall history, dependency in daily activities, age ≥75 and living alone are independent fall predictors in CP, AF and T2DM patients.

Consequences of dextropropoxyphene market withdrawal in elderly patients with chronic pain.

OBJECTIVE: Describe the consequences of dextropropoxyphene (DXP) market withdrawal on analgesic prescriptions and on the quality of therapeutic management of chronic pain. PATIENTS AND METHODS: From a cohort of non-institutionalised elderly patients with chronic pain recruited by general practitioners, we selected patients who were treated with DXP daily for at least 6 months just prior to DXP market withdrawal and who had an evaluation of pain and its impact on daily activities before and after DXP withdrawal. RESULTS: One hundred three patients took DXP daily for chronic pain. Immediately after DXP market withdrawal, 42 (40.8%), 55 (53.4%) and 3 (2.9%) patients were treated with step 1, 2 and 3 analgesics, respectively, and 3 patients (2.9%) were no longer receiving any analgesic medication. Among the 55 patients who continued on step 2 analgesics, 37 were treated with tramadol, 14 with codeine and 9 with opium. Pain intensity and the impact of pain on daily activities remained stable. CONCLUSION: DXP market withdrawal had no consequences on the intensity or impact of chronic pain in elderly patients.

National observatory on the therapeutic management in ambulatory care patients aged 65 and over, with type 2 diabetes, chronic pain or atrial fibrillation.

The primary objective of the S.AGES cohort is to describe the real-life therapeutic care of elderly patients. Patients and methods. This is a prospective observational cohort study of 3 700 non-institutionalized patients over the age of 65 years with either type 2 diabetes mellitus (T2DM), chronic pain or atrial fibrillation (AF) recruited by French general practitioners (GPs). Follow-up is planned for 3 years. Baseline characteristics. In the chronic pain sub-cohort, 33% of patients are treated with only grade 1 analgesics, 29% with grade 2 analgesics and 3% with grade 3 analgesics, and 22% have no pain treatment. In the T2DM sub-cohort, 61% of patients have well-controlled diabetes (Hb1c<7%) and 18% are treated with insulin. In the AF sub-cohort, 65% of patients have a CHADS2 score greater than 2, 77% are treated with oral anticoagulants, 17% with platelet inhibitors, 40% with antiarrhythmic drugs and 56% with rate slowing medications. Conclusion. The S.AGES cohort presents a unique opportunity to clarify the real-life therapeutic management of ambulatory elderly subjects and will help to identify the factors associated with the occurrence of major clinical events.

Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study.

BACKGROUND: New nursing homes (NH) data warehouses fed from residents' medical records allow monitoring the health of elderly population on a daily basis. Elsewhere, syndromic surveillance has already shown that professional data can be used for public health (PH) surveillance but not during a long-term follow-up of the same cohort. OBJECTIVE: This study aimed to build and assess a national ecological NH PH surveillance system (SS). METHODS: Using a national network of 126 NH, we built a residents' cohort, extracted medical and personal data from their electronic health records, and transmitted them through the internet to a national server almost in real time. After recording sociodemographic, autonomic and syndromic information, a set of 26 syndromes was defined using pattern matching with the standard query language-LIKE operator and a Delphi-like technique, between November 2010 and June 2016. We used early aberration reporting system (EARS) and Bayes surveillance algorithms of the R surveillance package (Höhle) to assess our influenza and acute gastroenteritis (AGE) syndromic data against the Sentinelles network data, French epidemics gold standard, following Centers for Disease Control and Prevention surveillance system assessment guidelines. RESULTS: By extracting all sociodemographic residents' data, a cohort of 41,061 senior citizens was built. EARS_C3 algorithm on NH influenza and AGE syndromic data gave sensitivities of 0.482 and 0.539 and specificities of 0.844 and 0.952, respectively, over a 6-year period, forecasting the last influenza outbreak by catching early flu signals. In addition, assessment of influenza and AGE syndromic data quality showed precisions of 0.98 and 0.96 during last season epidemic weeks' peaks (weeks 03-2017 and 01-2017) and precisions of 0.95 and 0.92 during last summer epidemic weeks' low (week 33-2016). CONCLUSIONS: This study confirmed that using syndromic information gives a good opportunity to develop a genuine French national PH SS dedicated to senior citizens. Access to senior citizens' free-text validated health data on influenza and AGE responds to a PH issue for the surveillance of this fragile population. This database will also make possible new ecological research on other subjects that will improve prevention, care, and rapid response when facing health threats.

Primary care management of non-institutionalized elderly diabetic patients: The S.AGES cohort - Baseline data.

AIM: S.AGES is a multicenter prospective cohort study of non-institutionalized patients aged 65 and over with atrial fibrillation, type 2 diabetes or chronic pain. Its objective is to describe the medical management in primary care. This article presents the baseline characteristics of subjects in the diabetes subcohort and compares the results to those from cohorts of older diabetic patients. METHODS: From April 2009 to June 2011, 983 patients were included in the diabetes subcohort by 213 primary care providers. Demographic data, geriatric parameters and the history, characteristics and treatment of the diabetes were recorded at baseline. RESULTS: The mean age was 76.7 ± 5.9 years. Most patients were living independently, with no cognitive impairment and in relatively good health. The duration of diabetes was 11.3 ± 8.7 years with average HbA1c of 6.9 ± 1.0%. 20% of patients had macrovascular disease, 33% renal failure, 14.6% ocular complication and 7.1% neuropathy. The first-line antidiabetic treatment was metformin (61.2%) and 18% of patients had used insulin. Treatment intensified with the worsening of diabetic symptoms. When compared to those from French and North American cohorts, the results showed increased complications and use of insulin with age, disease duration and severity. CONCLUSION: Due to the method of recruitment, S.AGES patients were generally healthy with well-controlled diabetes. However, the results were consistent with those from other cohorts. Three-year follow-up is expected to study the management of diabetic patients aged 65 and over in primary care.