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Study design Cross-sectional study Objective To examine prevalence of pregnancy and associations with sociodemographic and clinical factors among women with spinal cord injury (SCI) Setting U.S. National Spinal Cord Injury Database, an SCI registry that interviews participants 1, 5, and then every 5 years post-injury. Data include SCI clinical details, functional impairments, participation measures, depressive symptoms, and life satisfaction. Women ages 18-49 are asked about hospitalizations in the last year relating to pregnancy or its complications. Data represent 1,907 women, who completed 3,054 interviews. Methods We used generalized estimating equations to examine bivariable associations between pregnancy and clinical and psychosocial variables and to perform multivariable regressions predicting pregnancy. Results Across all women, 2.0% reported pregnancy during the prior 12 months. This annual prevalence differed significantly by years elapsed since injury; the highest rate occurred 15 years post-injury (3.7%). Bivariable analyses found that younger age at injury was significantly associated with current pregnancy (P < 0.0001). Compared with nonpregnant women, those reporting current pregancy were significantly more likely to be married or partnered, have sport-related SCI, have higher motor scores, and have more positive psychosocial status scores. Multivariable analyses found significant associations between current pregnancy and age, marital status, motor score, and mobility and occupation scale scores. Conclusions Current pregnancy rates among reproductive-aged women with SCI are similar to rates of other U.S. women with chronic mobility impairments. More information is needed about pregnancy experiences and outcomes to inform both women with SCI seeking childbearing and clinicians providing their care.

The adverse consequences of postpartum depression on the health of the mother and her child are well documented. However, there is little information on postpartum depression among mothers with disabilities. This study examines the patterns of depression and depressive symptoms before, during and after pregnancy and the association between depression before and during pregnancy and postpartum depression symptomatology (PPD) among women with and without disabilities. Data from the 2009–2011 Rhode Island Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed in 2013. Almost 30 % (28.9 %; 95 % CI 22.8–35.8) of mothers with disabilities reported often or always feeling down, depressed or sad after childbirth compared to 10 % of those without disabilities (95 % CI 8.9–11.3). Compared to other women in the study, women with disabilities had a greater likelihood for PPD symptoms (RR 1.6, 95 % CI 1.1–2.2) after accounting for sociodemographics, maternal characteristics related to PPD, and depression before and during pregnancy. Adjusting for other covariates, self-reported prenatal diagnosis of depression was not associated with symptoms of PPD and depression during pregnancy was marginally associated with PPD symptomatology for women with disabilities. Women with disabilities are at a greater risk of experiencing symptoms of postpartum depression than other women. Screening for PPD among new mothers with disabilities and timely referral of those with PPD diagnosis are vital to the health of mothers with disabilities and their children.

Background Patient Internet portals have created new opportunities for assessment and management of chronic conditions. Objective To conduct an online screening survey for a study recruitment using a secure patient Internet portal to identify primary care patients with untreated depression, chronic pain, or mobility difficulty before nonurgent office visits. Design Internet-based screening survey for a randomized trial. Participants Patients who were registered portal users who had scheduled primary care appointments. Approach Electronic study invitations via the portal were sent to 4,047 patients with scheduled visits to 34 primary care physicians participating in the study. After clicking on a link in the study invitation, patients were consecutively shown the study description, consent form, and lastly, the screening survey to determine final eligibility for study participation. Results Of the 2,113 (52%) patients who opened the study invitation, 1,001 consented online to join the study and 981 (98%) of these completed the screening survey. Of the respondents, 319 (33%) screened positive for 1 or more of the 3 conditions. Conclusions The online screening survey conducted through the patient portal was effective in identifying patients with chronic conditions in advance of scheduled primary care visits for participation in an intervention study.

Patients with limited English proficiency (LEP) have more difficulty communicating with health care providers and are less satisfied with their care than others. Both interpreter- and language-concordant clinicians may help overcome these problems but few studies have compared these approaches.To compare self-reported communication and visit ratings for LEP Asian immigrants whose visits involve either a clinic interpreter or a clinician speaking their native language.Cross-sectional survey-response rate 74%.Two thousand seven hundred and fifteen LEP Chinese and Vietnamese immigrant adults who received care at 11 community-based health centers across the U.S.Five self-reported communication measures and overall rating of care.Patients who used interpreters were more likely than language-concordant patients to report having questions about their care (30.1% vs 20.9%, P.001) or about mental health (25.3% vs 18.2%, P=.005) they wanted to ask but did not. They did not differ significantly in their response to 3 other communication measures or their likelihood of rating the health care received as "excellent" or "very good" (51.7% vs 50.9%, P=.8). Patients who rated their interpreters highly ("excellent" or "very good") were more likely to rate the health care they received highly (adjusted odds ratio 4.8, 95% confidence interval, 2.3 to 10.1).Assessments of communication and health care quality for outpatient visits are similar for LEP Asian immigrants who use interpreters and those whose clinicians speak their language. However, interpreter use may compromise certain aspects of communication. The perceived quality of the interpreter is strongly associated with patients' assessments of quality of care overall.

Population-based risk adjustment, as applied to reimbursement in managed care settings, may reduce pressures for adverse selection by managed care organisations. Using insurance claims data from 184 340 plan members, we compared the performance of three risk-adjustment methods. We present a model for measuring the impact of risk adjustment on the likelihood that individual members will be at risk for adverse selection. These results are compared with resource allocation based on age/sex. The predictive ability of alternative allocation schemes increased from an R(2) of 1.2% for age-sex allocation to 11.4% based on risk adjustment using diagnostic cost groups. However, the impact of risk adjustment on the proportion of members at risk for adverse selection was small. At an absolute threshold loss of $US2400 per year, 8.3% to 8.6% of members were at risk for adverse selection compared with 9.3% based on age-sex allocation. The limited impact of risk adjustment on the likelihood of adverse selection suggests that other strategies for reducing adverse selection may be required.

Lower extremity mobility difficulties often result from common medical conditions and can disrupt both physical and emotional well-being.To assess the national prevalence of mobility difficulties among noninstitutionalized adults and to examine associations with demographic characteristics and other physical and mental health problems.Cross-sectional survey using the 1994-1995 National Health Interview Survey-Disability Supplement (NHIS-D). We constructed measures of minor, moderate, and major lower extremity mobility difficulties using questions about ability to walk, climb stairs, and stand, and use of mobility aids (e.g., canes, wheelchairs). Age and gender adjustment used direct standardization methods in Software for the Statistical Analysis of Correlated Data (SUDAAN).Noninstitutionalized, civilian U.S. residents aged 18 years and older. National Health Interview Survey sampling weights with SUDAAN provided nationally representative population estimates.An estimated 19 million people (10.1%) reported some mobility difficulty. The mean age of those with minor, moderate, or major difficulty ranged from 59 to 67 years. Of those reporting major difficulties, 32% said their problems began at aged 50 years or younger. Adjusted problem rates were higher among women (11.8%) than men (8.8%), and higher among African American (15.0%) than whites (10.0%). Persons with mobility difficulties were more likely to be poorly educated, living alone, impoverished, obese, and having problems conducting daily activities. Among persons with major mobility difficulties, 30.6% reported being frequently depressed or anxious, compared to 3.8% for persons without mobility difficulties.Reports of mobility difficulties are common, including among middle-aged adults. Associations with poor performance of daily activities, depression, anxiety, and poverty highlight the need for comprehensive care for persons with mobility problems.

Data on outcomes of medical care are becoming much more available in health care organizations and systems of care. This will create new opportunities for operations researchers to make contributions to health care policy and management. To provide some background to those new to the health care area, in this article we do the following: (1) provide a brief exposure to major administrative databases that are available and useful for analyzing outcomes data; (2) discuss the strengths and limitations of the diagnostic information contained in these databases; (3) describe several systems that use this information, or in some cases information from the medical record, to determine patient severity, thus providing a basis for severity-adjustment before considering outcomes; and (4) finally, provide an overview of some recent advances in obtaining improved parameter estimates from large databases.

To see whether predictions of patients, likelihood of dying in-hospital differed among severity methods.Retrospective cohort.18,016 persons 18 years of age and older managed medically for pneumonia; 1,732 (9.6%) in-hospital deaths.Probability of death was calculated for each patient using logistic regression with age, age squared, sex, and each of five severity measures as the independent variables: 1) admission MedisGroups probability of death scores; 2) scores based on 17 admission physiologic variables; 3) Disease Staging's probability of mortality model; the Severity Score of Patient Management Categories (PMCs); 4) and the All Patient Refined Diagnosis-Related Groups (APR-DRGs). Patients were ranked by calculated probability of death; 5) rankings were compared across severity methods. Frequencies of 14 clinical findings considered poor prognostic indicators in pneumonia were examined for patients ranked differently by different methods.MedisGroups and the physiology score predicted a similar likelihood of death for 89.2% of patients. In contrast, the three code-based severity methods rated over 25% of patients differently by predicted likelihood of death when compared with the rankings of the two clinical data-based methods [MedisGroups and the physiology score]. MedisGroups and the physiology score demonstrated better clinical credibility than the three severity methods based on discharge abstract data.Some pairs of severity measures ranked over 25% of patients very differently by predicted probability of death. Results of outcomes studies may vary depending on which severity method is used for risk adjustment.