Effect of HCV or HIV infection on mortality among hospitalized persons who used opioids, 2000-2010.

Mortality due to opioid misuse and overdose has increased substantially in the United States over the past two decades. The study objective was to describe the causes of death among persons with opioid-related hospitalizations and examine survival by Hepatitis C virus (HCV) or HIV. Opioid-related hospitalization records in Pennsylvania from 2000 to 2010 were linked to death registry files to assess cause of death, and survival from first hospital discharge date to death date, or December 31, 2010. Accelerated failure time models were used to compare survival between persons with and without HCV or HIV diagnoses. Among the 136,416 individuals with an opioid-related hospitalization, 13.0% died over a median of 56 months of follow-up; the most common causes of death were circulatory diseases (26.4%) and drug overdose (23.5%). There were 27,122 (19.9%) and 3662 (2.7%) persons who had an HCV and HIV diagnosis, respectively. Among patients aged ≥20 years, those with HCV had shorter survival time compared to those without HCV, with discrepancies more pronounced at older ages. Patients with HIV also had shorter survival time (time ratio: 0.29 [95% CI: 0.26, 0.34]) compared to without HIV. These findings show that in a cohort of patients with opioid-related hospitalizations, those with HCV or HIV diagnoses have shorter survival. This has public health implications, providing further evidence that medical providers should educate patients who use opioids about the risks of HCV and HIV infection and focus prevention and treatment to decrease mortality among patients hospitalized for opioid use.

Healthcare and associated costs related to type 2 diabetes in youth and adolescence: the TODAY clinical trial experience.

The economic issues related to medical treatments in youth with type 2 diabetes (T2D) are rarely reported and thus not fully understood. The Treatment Options for type 2 Diabetes in Adolescents and Youth clinical trial of youth recently diagnosed with T2D collected healthcare and related cost information from the largest cohort studied to date. Costs related to medical treatments and expenses faced by caregivers were identified over a 2-year period from 496 participants. Data were collected by surveys and diaries to document frequency of use of diabetes care (excluding study laboratory tests), non-diabetes care services and treatments, caregiver time, and expenses related to exercise and dietary activities recommended for patients. Economic costs were derived by applying national cost values to the reported utilization frequency data. Annual medical costs in the first year varied by the treatment group, averaging $1798 in those assigned to metformin alone (M), $2971 to combination drug therapy with metformin + rosiglitazone (M + R), and $2092 to metformin + an intensive lifestyle and behavior change program (M + L). Differences were primarily due to costs related to combination drug therapy. Adult caregiver support costs were higher for participants in the lifestyle program, which was delivered in weekly sessions in the first 6 months. Expenses for purchases to enhance diet and exercise change did not vary by treatment assignment. In year 2, medication costs increased in M and M + L due to the initiation of insulin in subjects who failed to maintain glycemic control on the assigned treatment. Data are reported for use by researchers and those providing healthcare to this vulnerable patient population.

Is There a Relationship Between Perceived Neighborhood Contentedness and Physical Activity in Young Men and Women.

The relationship between perceived neighborhood contentedness and physical activity was evaluated in the Add Health study population. Wave I includes 20,745 respondents (collected between 1994 and 1995) and wave II includes 14,738 (71 %) of these same students (collected in 1996). Multinomial logistic regression was used to evaluate this relationship in both wave I and wave II of the sample. Higher levels of Perceived Neighborhood Contentedness were associated with higher reports of physical activity in both males and females and in both waves. For every one-point increment in PNS, males were 1.3 times as likely to report being highly physically active than low (95 % CI 1.23-1.37) in wave 1 and 1.25 times as likely in wave 2 (95 % CI 1.17-1.33). Females were 1.17 (95 % CI 1.12-1.22) times as likely to report being highly active than low and 1.22 times as likely in wave 2 (95 % CI 1.17-1.27) with every one-point increment. PNC appears to be significantly associated with physical activity in adolescents. Involving the community in the development of intervention programs could help to raise the contentedness of adolescents in these communities.

An observational study of shift length, crew familiarity, and occupational injury and illness in emergency medical services workers.

OBJECTIVES: Emergency medical services (EMS) clinicians are shift workers deployed in two-person teams. Extended shift duration, workplace fatigue, poor sleep and lack of familiarity with teammates are common in the EMS workforce and may contribute to workplace injury. We sought to examine the relationship between shift length and occupational injury while controlling for relevant shift work and teamwork factors. METHODS: We obtained 3 years of shift schedules and occupational injury and illness reports were from 14 large EMS agencies. We abstracted shift length and additional scheduling and team characteristics from shift schedules. We matched occupational injury and illness reports to shift records and used hierarchical logistic regression models to test the relationship between shift length and occupational injury and illness while controlling for teammate familiarity. RESULTS: The cohort contained 966,082 shifts, 4382 employees and 950 outcome reports. Risk of occupational injury and illness was lower for shifts ≤8 h in duration (RR 0.70; 95% CI 0.51 to 0.96) compared with shifts >8 and ≤12 h. Relative to shifts >8 and ≤12 h, risk of injury was 60% greater (RR 1.60; 95% CI 1.22 to 2.10) for employees that worked shifts >16 and ≤24 h. CONCLUSIONS: Shift length is associated with increased risk of occupational injury and illness in this sample of EMS shift workers.

The association between weekly work hours, crew familiarity, and occupational injury and illness in emergency medical services workers.

OBJECTIVE: Emergency Medical Services (EMS) workers are shift workers in a high-risk, uncontrolled occupational environment. EMS-worker fatigue has been associated with self-reported injury, but the influence of extended weekly work hours is unknown. METHODS: A retrospective cohort study was designed using historical shift schedules and occupational injury and illness reports. Using multilevel models, we examined the association between weekly work hours, crew familiarity, and injury or illness. RESULTS: In total, 966,082 shifts and 950 reports across 14 EMS agencies were obtained over a 1-3 year period. Weekly work hours were not associated with occupational injury or illness. Schedule characteristics that yield decreased exposure to occupational hazards, such as part-time work and night work, conferred reduced risk of injury or illness. CONCLUSIONS: Extended weekly work hours were not associated with occupational injury or illness. Future work should focus on transient exposures and agency-level characteristics that may contribute to adverse work events.

Diabetes Care Barriers, Use, and Health Outcomes in Younger Adults With Type 1 and Type 2 Diabetes.

Importance: Treatment challenges exist for younger adults with type 1 (T1D) and type 2 diabetes (T2D). Health care coverage, access to, and use of diabetes care are not well delineated in these high-risk populations. Objective: To compare patterns of health care coverage, access to, and use of diabetes care and determine their associations with glycemia among younger adults with T1D and with T2D. Design, Setting, and Participants: This cohort study analyzed data from a survey that was jointly developed by 2 large, national cohort studies: the SEARCH for Diabetes in Youth (SEARCH) study, an observational study of individuals with youth-onset T1D or T2D, and the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study, a randomized clinical trial (2004-2011) followed by an observational study (2012-2020). The interviewer-directed survey was administered during in-person study visits in both studies between 2017 and 2019. Data analyses were performed between May 2021 and October 2022. Main Outcomes and Measures: Survey questions addressed health care coverage, usual sources of diabetes care, and frequency of care use. Glycated hemoglobin (HbA1c) levels were assayed in a central laboratory. Patterns of health care factors and HbA1c levels were compared by diabetes type. Results: The analysis included 1371 participants (mean [range] age, 25 [18-36] years; 824 females [60.1%]), of whom 661 had T1D and 250 had T2D from the SEARCH study and 460 had T2D from the TODAY study. Participants had a mean (SD) diabetes duration of 11.8 (2.8) years. More participants with T1D than T2D in both the SEARCH and TODAY studies reported health care coverage (94.7%, 81.6%, and 86.7%), access to diabetes care (94.7%, 78.1%, and 73.4%), and use of diabetes care (88.1%, 80.5%, and 73.6%). Not having health care coverage was associated with significantly higher mean (SE) HbA1c levels in participants with T1D in the SEARCH study (no coverage, 10.8% [0.5%]; public, 9.4% [0.2%]; private, 8.7% [0.1%]; P < .001) and participants with T2D from the TODAY study (no coverage, 9.9% [0.3%]; public, 8.7% [0.2%]; private, 8.7% [0.2%]; P = .004). Medicaid expansion vs without expansion was associated with more health care coverage (participants with T1D: 95.8% vs 90.2%; participants with T2D in SEARCH: 86.1% vs 73.9%; participants with T2D in TODAY: 93.6% vs 74.2%) and lower HbA1c levels (participants with T1D: 9.2% vs 9.7%; participants with T2D in SEARCH: 8.4% vs 9.3%; participants with T2D in TODAY: 8.7% vs 9.3%). The T1D group incurred higher median (IQR) monthly out-of-pocket expenses than the T2D group ($74.50 [$10.00-$309.00] vs $10.00 [$0-$74.50]). Conclusions and Relevance: Results of this study suggested that lack of health care coverage and of an established source of diabetes care were associated with significantly higher HbA1c levels for participants with T1D, but inconsistent results were found for participants with T2D. Increased access to diabetes care (eg, through Medicaid expansion) may be associated with improved health outcomes, but additional strategies are needed, particularly for individuals with T2D.

Health-related quality of life in adolescents with or at risk for type 2 diabetes mellitus.

OBJECTIVE: To evaluate how adolescents with or at risk for type 2 diabetes mellitus (T2DM) and their parent/guardians (parents) perceive adolescents' health-related quality of life. STUDY DESIGN: We interviewed overweight/obese, 12- to 18-year-old youth with T2DM, prediabetes, or insulin resistance and one parent from 5 US sites. Assessments included Pediatric Quality of Life Inventory (PedsQL), Health Utilities Index, family conflict, and diabetes burden. RESULTS: In 108 adolescents, diagnoses included 40.7% with T2DM, 25.0% with prediabetes, and 34.3% with insulin resistance. PedsQL summary score (SS) was higher in adolescents than parents (P=.02). Parents rated physical functioning lower than adolescents (P<.0001), but there were no differences in psychosocial health. Adolescent PedsQL SS did not differ with diagnosis, but was inversely associated with adolescent body mass index z-score (P=.0004) and family conflict (P<.0001) and associated with race/ethnicity (P<.0001). Number of adolescent co-morbidities (P=.007) and burden of diabetes care (P<.05) were inversely associated with parent PedsQL SS. There were no differences in the Health Utilities Index-Mark 3 multi-attribute utility score. CONCLUSIONS: Parents perceive their adolescents' physical functioning as more impaired than adolescents themselves. Contextual factors including severity of obesity, race/ethnicity, family conflict, and burden of diabetes care influence health-related quality of life. Family-based approaches to treatment and prevention of T2DM may benefit from increased attention to the biopsychosocial context.

Association between poor sleep, fatigue, and safety outcomes in emergency medical services providers.

OBJECTIVE: To determine the association between poor sleep quality, fatigue, and self-reported safety outcomes among emergency medical services (EMS) workers. METHODS: We used convenience sampling of EMS agencies and a cross-sectional survey design. We administered the 19-item Pittsburgh Sleep Quality Index (PSQI), 11-item Chalder Fatigue Questionnaire (CFQ), and 44-item EMS Safety Inventory (EMS-SI) to measure sleep quality, fatigue, and safety outcomes, respectively. We used a consensus process to develop the EMS-SI, which was designed to capture three composite measurements of EMS worker injury, medical errors and adverse events (AEs), and safety-compromising behaviors. We used hierarchical logistic regression to test the association between poor sleep quality, fatigue, and three composite measures of EMS worker safety outcomes. RESULTS: We received 547 surveys from 30 EMS agencies (a 35.6% mean agency response rate). The mean PSQI score exceeded the benchmark for poor sleep (6.9, 95% confidence interval [CI] 6.6, 7.2). More than half of the respondents were classified as fatigued (55%, 95% CI 50.7, 59.3). Eighteen percent of the respondents reported an injury (17.8%, 95% CI 13.5, 22.1), 41% reported a medical error or AE (41.1%, 95% CI 36.8, 45.4), and 90% reported a safety-compromising behavior (89.6%, 95% CI 87, 92). After controlling for confounding, we identified 1.9 greater odds of injury (95% CI 1.1, 3.3), 2.2 greater odds of medical error or AE (95% CI 1.4, 3.3), and 3.6 greater odds of safety-compromising behavior (95% CI 1.5, 8.3) among fatigued respondents versus nonfatigued respondents. CONCLUSIONS: In this sample of EMS workers, poor sleep quality and fatigue are common. We provide preliminary evidence of an association between sleep quality, fatigue, and safety outcomes.

Preferences for type 2 diabetes health states among adolescents with or at risk of type 2 diabetes mellitus.

OBJECTIVE: We evaluated how adolescents with or at risk of type 2 diabetes (T2DM) and their parent/guardians (parents) value health states associated with T2DM. METHODS: We interviewed overweight/obese [Body Mass Index (BMI) ≥ 85th percentile], 12-18-yr old adolescents with T2DM, prediabetes, or insulin resistance (IR) and a parent. The standard gamble (SG) method elicited preferences (utilities) for seven hypothetical T2DM health states reported on a scale from 0 (dead) to 1 (perfect health). Adolescent's current health was evaluated with the SG and Health Utilities Index (HUI). RESULTS: There were 70 adolescents and 69 parents. Adolescents were 67.1% female and 15.5 ± 2.2 yr old; 30% had T2DM, 30% prediabetes, and 40% IR. Almost half (48.6%) had a BMI > 99th percentile. Parents (83% mothers) were 45.1 ± 7.3 yr old and 75% had at least some college/technical school education. Adolescents and parents rated T2DM with no complications treated with diet as most desirable [median (IQR); adolescent 0.72 (0.54, 0.98); parent 1.0 (0.88, 1.0)] and end-stage renal disease as least desirable [adolescent 0.51 (0.31, 0.70); parent 0.80 (0.65, 0.94)]. However, adolescents' utilities were significantly lower (p ≤ 0.001) than parents for all health states assessed. Adolescents' assessments of their current health with the SG and HUI were not correlated. CONCLUSIONS: Adolescents with or at risk of T2DM rated treatments and sequelae of diabetes as significantly worse than their parents. These adolescent utilities should be considered in the evaluation of treatment strategies for youth with T2DM. Family-based programs for T2DM must also be prepared to address conflicting preferences in order to promote shared decision-making.

Participant food and activity costs in a translational Diabetes Prevention Program.

The Diabetes Prevention Program (DPP) and its translational adaptations have been shown to be effective. However, individual-level economic impacts, such as the out-of-pocket costs borne by participants due to involvement in these programs have not been consistently and thoroughly evaluated. As cost is an important consideration that will impact the willingness of individuals to participate in such programs, this study examined direct monetary costs to participants in the Group Lifestyle Balance (GLB) DPP. Older adults (n = 134, mean age 62.8 years) with body mass index (BMI) ≥24 kg/m2 and prediabetes and/or metabolic syndrome participated in this GLB intervention, with two-thirds randomized to begin the intervention immediately and one-third functioning as a control for 6 months before receiving the entire intervention. Food and activity time and costs borne by participants were measured by self-report at baseline and after 6 months. Significant improvements in clinical metabolic measures, weight, and physical activity levels were achieved after 6 months in the intervention group compared both with baseline and the controls. Food costs did not increase among intervention participants. Costs related to physical activity did not change consistently over the course of the intervention. This DPP-GLB lifestyle intervention was effective in reducing risk factors for Type 2 diabetes mellitus among a diverse group of older participants without significantly increasing their out-of-pocket costs for food or physical activity over the course of the intervention. These results should help reduce concerns of individuals who are hesitant to participate in similar programs due to costs. The clinical trial registration number of this study is NCT01050205.

Opioid-related hospitalizations in Pennsylvania: A latent class analysis.

BACKGROUND: Opioid abuse is associated with substantial morbidity and often results in hospitalization. Despite this, patient-level factors associated with opioid-related hospitalizations are not well understood. METHODS: We used the Pennsylvania Health Care Cost Containment Council dataset (2000-2014) to identify opioid-related hospitalizations using primary and/or secondary ICD-9-CM hospital discharge codes for opioid use disorder (OUD), opioid poisoning, and heroin poisoning. Latent class analyses (LCA) of patient-level factors including sociodemographic characteristics, pregnancy, alcohol, tobacco, other substance use, and psychiatric disorders were used to identify common patterns within hospitalizations. RESULTS: Among 28,538,499 hospitalizations, 430,569 (1.5%) were opioid-related. LCA identified five latent class (LC) patient groups associated with opioid-related hospitalizations: pregnant women with OUD (LC1); women over 65 with opioid overdose (LC2); OUD, polysubstance use and co-occurring psychiatric disorders (LC3); patients with opioid overdose without co-occurring polysubstance use (LC4); and African American patients with OUD and co-occurring cocaine use (LC5). LC3 was the largest latent class (58.2%) with annual hospitalizations doubling over time. DISCUSSION: Among patients with opioid-related discharges, we identified five subpopulations among this sample. These findings suggest increased outpatient OUD treatment, mental health service support for patients with co-occurring psychiatric disorders and polysubstance use to prevent overdose and hospitalization.

A comparison of baseline sociodemographic and clinical characteristics between major depressive disorder patients with and without diabetes: a STAR*D report.

BACKGROUND: Patients with major depressive disorder (MDD) have high rates of medical comorbidities which can impair MDD treatment. Yet little is known regarding associations between the presence of a serious comorbidity and MDD treatment. The purpose of this study was to examine the baseline sociodemographic and clinical characteristics of MDD outpatients with and without diabetes mellitus to evaluate possible associations between these characteristics and the presence of comorbid diabetes. METHODS: We gathered baseline sociodemographic and clinical data for 4041 participants with non-psychotic MDD who enrolled in the STAR*D, a large-scale depression treatment protocol, and made comparisons between participants with and without diabetes. RESULTS: Participants with diabetes were more likely to be male, older, black, Hispanic, unemployed, and have less education, a lower income, higher mental functioning, lower physical functioning, atypical features, increased appetite, psychomotor slowing and leaden paralysis, and were less likely to have concurrent alcohol abuse/dependence, mood reactivity or problems with concentration. We found no significant differences between groups regarding depression severity. LIMITATIONS: The primary limitation is the lack of a clinical diagnosis of diabetes. CONCLUSIONS: We found no difference in depression severity between participants with and without diabetes. Diabetes was associated with physical symptoms of depression. Thus treatments for these participants should be directed toward these symptoms.

The Rapid Escalation of Fentanyl in Illicit Drug Evidence in Allegheny County, Pennsylvania, 2010-2016.

Opioid overdose deaths in the United States quadrupled from 1999 (n = 8050 deaths) to 2015 (n = 33 091 deaths), and the number of deaths associated with synthetic opioids, such as fentanyl, increased from 3105 deaths in 2013 to nearly 20 000 deaths in 2016. Given this rapid increase, timely surveillance for drugs in circulation is crucial. However, current surveillance systems used to track drug overdoses do not detect new drugs in circulation quickly. We studied the change in the presence of fentanyl in "stamp bag" drug evidence in Allegheny County, Pennsylvania, from 2010 through 2016. Stamp bags are small wax packets with individual stamps that contain mixtures of drugs, most commonly heroin, that law enforcement officers seize and retain as legal evidence. The proportion of stamp bags determined to contain fentanyl or a fentanyl analog was 2.1% in 2014 and rose sharply to 17.1% in 2016. Monitoring the chemical makeup of drug evidence items could help public health authorities identify drug use trends in their jurisdictions.

Translating the chronic care model into the community: results from a randomized controlled trial of a multifaceted diabetes care intervention.

OBJECTIVE: To determine whether using the chronic care model (CCM) in an underserved community leads to improved clinical and behavioral outcomes for people with diabetes. RESEARCH DESIGN AND METHODS: This multilevel, cluster-design, randomized controlled trial examined the effectiveness of a CCM-based intervention in an underserved urban community. Eleven primary care practices, along with their patients, were randomized to three groups: CCM intervention (n = 30 patients), provider education only (PROV group) (n = 38), and usual care (UC group) (n = 51). RESULTS: A marked decline in HbA(1c) was observed in the CCM group (-0.6%, P = 0.008) but not in the other groups. The magnitude of the association remained strong after adjustment for clustering (P = 0.01). The same pattern was observed for a decline in non-HDL cholesterol and for the proportion of participants who self-monitor blood glucose in the CCM group (non-HDL cholesterol: -10.4 mg/dl, P = 0.24; self-monitor blood glucose: +22.2%, P < 0.0001), with statistically significant between-group differences in improvement (non-HDL cholesterol: P = 0.05; self-monitor blood glucose: P = 0.03) after adjustment. The CCM group also showed improvement in HDL cholesterol (+5.5 mg/dl, P = 0.0004), diabetes knowledge test scores (+6.7%, P = 0.07), and empowerment scores (+2, P = 0.02). CONCLUSIONS: These results suggest that implementing the CCM in the community is effective in improving clinical and behavioral outcomes in patients with diabetes.

Influences on screening for chronic diabetes complications in type 1 diabetes.

Screening for the long-term complications of diabetes is a critical component of diabetes management; however, evidence demonstrates that screening rates in diabetes populations are suboptimal. Our objective was to determine the use and predictors of optimal screening behavior, defined as receiving a fasting lipid test, dilated eye exam, spot urine test, foot examination, blood pressure reading, and hemoglobin A1c (HbA1c) in the previous year in a representative cohort of subjects with type 1 diabetes. Data are from the Pittsburgh Epidemiology of Diabetes Complications Study, a prospective cohort study of subjects with childhood onset type 1 diabetes. Data from 325 participants who responded to a survey during 1999-2001 were included in analyses. Reported screening rates were as follows: 87.9% had at least one HbA1c measurement in the past year, 63% had a foot exam, 73.3% had a spot urine test, 81.9% had a dilated eye exam, 93.5% had a blood pressure reading and 68.7% received a fasting lipid profile. Within this group, 37.7% of subjects reported undergoing all five tests (optimal screening). Independent correlates of optimal screening were receiving care from a specialist provider (odds ratio [OR] = 2.4; 95% confidence interval [CI]: 1.4-4.1) and blood glucose monitoring at least weekly (OR = 2.6; 95% CI: 1.1-6.2). These findings indicate that a large proportion of persons with type 1 diabetes are not being screened at the optimal level. Our data indicate that efforts to rectify this should focus on men and those who do not monitor blood glucose, and should involve primary care practitioners.

High risk characteristics for motor vehicle crashes in persons with diabetes by age.

Studies highlight a higher involvement of drivers with diabetes in motor vehicle accidents. Extensive debate, though, exists over the most appropriate approach to license these drivers. Risk factors for crashes in persons with diabetes are not well defined. In this report, motor vehicle crash involvement was identified in two cohorts of persons with type 1 diabetes to identify if crash patterns and characteristics differ by age. Overall, reported crashes decline with age in persons with and without diabetes, but the crash risk remained higher for persons with diabetes throughout the age span. No relationship was observed between diabetes complications, blood glucose control, and diabetes treatment patterns and motor vehicle crashes. Severe hypoglycemia, though, was consistently and strongly related to crashes at all ages. The findings suggest that the crash risk related to hypoglycemia does not diminish markedly in persons with Type 1 diabetes, despite changes in health and age. Several reports highlight the involvement of drivers with diabetes in motor vehicle crashes [Charlton, 2004]. Extensive debate exists, though, over the role of diabetes in these crashes and licensing policy differs, worldwide, for these drivers. The natural history of type 1 diabetes (worsening health outcomes over time) indicates that factors influencing crashes in persons with diabetes may change over time. Few reports, though, have examined the factors related to crashes in persons with diabetes by age.

Diabetes in employer-sponsored health insurance.

OBJECTIVE: To examine medical and mental health care expenditures for large numbers of individuals with diabetes enrolled in employment-sponsored insurance plans. RESEARCH DESIGN AND METHODS: Health insurance billing data for approximately 1.3 million individuals enrolled in health insurance plans sponsored by 862 large self-insured employers nationwide were used to examine employer expenditures and consumer out-of-pocket payments for 20,937 people identified with diabetes. These expenditures were compared with expenditures for individuals with other chronic illnesses. Main outcome measures were covered charges, insurance plan reimbursements, and estimated consumer out-of-pocket payments for both medical and mental health services. RESULTS: A total of 1.7% of enrollees were identified as having diabetes and approximately 11% of those used at least one mental health service during 1996. Health care expenditures were three times higher for those with diabetes compared with all health care consumers in these insurance plans, but when compared with individuals with other chronic illnesses such as heart disease, HIV/AIDS, cancer, and asthma, those with diabetes were not more expensive for employers' insurance plans. Diabetes accounts for 6.5% of total health plan expenditures. CONCLUSIONS: Diabetes is not more expensive for either consumers or their employer-sponsored insurance plans than other chronic illnesses.

Influence of health care providers on the development of diabetes complications: long-term follow-up from the Pittsburgh Epidemiology of Diabetes Complications Study.

OBJECTIVE: To quantify total diabetes care received (generalist or specialist) from diagnosis onward and its association with the incidence of diabetes complications in a representative cohort of patients with type 1 diabetes. RESEARCH DESIGN AND METHODS: A total of 429 subjects from the Pittsburgh Epidemiology of Diabetes Complications Study, a prospective follow-up study of childhood-onset type 1 diabetic subjects first seen between 1986 and 1988 (mean age 28 years, mean duration 19 years), followed biennially for up to 10 years were studied. Specialist care was defined as care received from a board-certified endocrinologist, diabetologist, or diabetes clinic and quantified as the percent of diabetes duration spent in specialist care. RESULTS: There was a significant trend for a higher incidence of neuropathy, overt nephropathy, and coronary artery disease with lower use of specialist care. Multivariate analyses controlling for diabetes duration, demographic characteristics, health care practices, and physiological risk factors demonstrated that higher past use of specialist care was found to be significantly protective against the development of overt nephropathy (risk ratio 0.43, 95% CI 0.21-0.88) and neuropathy (0.54, 0.35-0.83) and weakly protective against coronary artery disease (0.65, 0.37-1.1). CONCLUSIONS: A higher proportion of diabetes duration spent in specialist care may result in delayed development of certain diabetes complications independent of other risk factors. This study thus supports the concept that the benefits of specialist care should be available to all patients with type 1 diabetes.

Preferences for fertility in women with pelvic inflammatory disease.

OBJECTIVE: To identify the value that women with pelvic inflammatory disease (PID) assign to the health impact of future infertility. DESIGN: Cross-sectional observations on patient preferences. SETTING: Participants in an existing multicenter clinical trial of PID treatment options. PATIENT(S): Five hundred thirty-two women with signs and symptoms of PID who were identified from emergency departments and sexually transmitted disease clinics. INTERVENTION(S): Women were asked to rate whether life with future infertility was more or less meaningful than life with each of seven chronic health conditions: sinus congestion, insomnia, chronic headache, asthma, incontinence, dialysis, and paralysis. MAIN OUTCOME MEASURE(S): Preferences regarding future infertility. RESULT(S): Most respondents rated future infertility as being worse than sinus congestion and asthma but better than the health impact of incontinence, dialysis, and paralysis. There was a wide range of opinion, with 18% viewing future infertility as minor (better than all conditions) and 5% viewing it as extremely important (worse than all conditions). Future infertility ratings were influenced by race, parity, difficulty in conceiving, and views on the importance of future pregnancy. CONCLUSION(S): The majority of women with PID rate future infertility as a significant issue. Optimizing access to infertility treatment may affect the quality of life for such women.

Cost-of-illness studies in diabetes mellitus.

Several cost-of-illness (COI) studies related to diabetes mellitus have been performed over the last three decades. This review examines the results of these COI studies, identifies the strengths and limitations of the various methods utilised, and suggests future research that will help determine the economic burden of diabetes more accurately. Diabetes imposes a large economic burden on society. The economic cost of diabetes is estimated to be as much as dollars US 100 billion per year in the US alone (1997 values). This estimated cost has increased notably over time, primarily due to price inflation and the increasing prevalence of diabetes. Differing methodologies have significantly influenced the cost estimates and made comparisons between COI studies problematic. For example, early reports tended to rely exclusively on data where diabetes was listed as the primary diagnosis or reason for healthcare use. To better capture the costs associated with diabetes-related complications, later studies have included costs related to diabetes as a secondary or tertiary diagnosis using the attributable risk methodology. Given the types of long-term complications that are associated with diabetes, attempts at capturing these secondary costs are appropriate. However, estimates of attributable risk can be limited by the epidemiological data currently available. The tremendous economic burden of diabetes makes the disease an important clinical and public health problem. In order to formulate an effective response to this problem, it is important to track future economic trends as healthcare delivery, morbidity and mortality patterns evolve. Future research efforts should focus on refining methods to estimate costs, improving the interpretation of study findings, and facilitating comparisons between studies.