Biomedical subjects

T Michael Kashner

Publications and source records attributed to T Michael Kashner.

17 recordsLinked to original sources

PubMed2007

Mental health, quality of life, and health functioning in women veterans: differential outcomes associated with military and civilian sexual assault.

The present study examined psychiatric, physical, and quality-of-life functioning in a sample of 270 women veterans receiving outpatient treatment at a Veterans Affairs medical center. Participants were interviewed regarding their civilian (CSA) and military sexual assault (MSA) histories, and data regarding quality of life and health outcomes were obtained through structured interviews and questionnaires. Women veterans with CSA histories reported significantly poorer physical, psychiatric, and quality-of-life functioning compared to those without a history of sexual assault. Furthermore, women veterans with an MSA history demonstrated additional negative consequences above and beyond the effects of CSA. The study sample was comparable to a national random sample of women veterans who access care in the Veterans Affairs healthcare system, increasing the generalizibility of the results.

Adult↗

PubMed2006

Assessing physicians' use of treatment algorithms: Project IMPACTS study design and rationale.

Effective treatments for major depressive disorder have been available for 35 years, yet inadequate pharmacotherapy continues to be widespread leading to suboptimal outcomes. Evidence-based medication algorithms have the potential to bring much-needed improvement in effectiveness of antidepressant treatment in "real-world" clinical settings. Project IMPACTS (Implementation of Algorithms using Computerized Treatment Systems) addresses the critical question of how best to facilitate integration of depression treatment algorithms into routine care. It tests an algorithm implemented through a computerized decision support system using a measurement-based care approach for depression against a paper-and-pencil version of the same algorithm and non-algorithm-based, specialist-delivered usual care. This paper reviews issues related to the Project IMPACTS study rationale, design, and procedures. Patient outcomes include symptom severity, social and work function, and quality of life. The economic impact of treatment is assessed in terms of health care utilization and cost. Data collected on physician behavior include degree of adherence to guidelines and physician attitudes about the perceived utility, ease of use, and self-reported effect of the use of algorithms on workload. Novel features of the design include a two-tiered study enrollment procedure, which initially enroll physicians as subjects, and then following recruitment of physicians, enrollment of subjects takes place based initially on an independent assessment by study staff to determine study eligibility. The study utilizes brief, easy-to-use symptom severity measures that facilitate physician decision making, and it employs a validated, phone-based, follow-up assessment protocol in order to minimize missing data, a problem common in public sector and longitudinal mental health studies. IMPACTS will assess the success of algorithm implementation and subsequent physician adherence using study-developed criteria and related statistical approaches. These new procedures and data points will also allow a more refined assessment of algorithm-driven treatment in the future.

Algorithms↗

PubMed2006

An empirical analysis of cost outcomes of the Texas Medication Algorithm Project.

OBJECTIVE: Disease management systems that incorporate medication algorithms have been proposed as cost-effective means to offer optimal treatment for patients with severe and chronic mental illnesses. The Texas Medication Algorithm Project was designed to compare health care costs and clinical outcomes between patients who received algorithm-guided medication management or usual care in 19 public mental health clinics. METHODS: This longitudinal cohort study for patients with major depression (N=350), bipolar disorder (N=267), and schizophrenia (N=309) applied a multi-part declining-effects cost model. Outcomes were assessed by the Inventory of Depressive Symptomatology and the Brief Psychiatric Rating Scale. RESULTS: Compared with patients in usual care, patients in algorithm-based care incurred higher medication costs and had more frequent physician visits, although these differences often became smaller with time. For major depression, algorithm-based care achieved better outcomes sustainable with time but at higher agency and non-agency costs (mixed cost-effective). For bipolar disorder, patients in algorithm-based management achieved better outcomes at lower agency costs (cost-effective). For schizophrenia, patients in algorithm-based care achieved better outcomes that diminished with time, with no detectable difference in health care costs (cost-effective). CONCLUSIONS: Cost outcomes of algorithm-based care and usual care varied by disorder and over time. For bipolar disorder and schizophrenia, algorithm-based care improved outcomes without higher costs for health care services. For major depression, substantively better and sustained outcomes were obtained but at greater costs.

Algorithms↗

PubMed2006

Comparison of self-report and clinician ratings on two inventories of depressive symptomatology.

OBJECTIVE: This study evaluated the concordance between the self-report and the clinician-rated versions of the Inventory of Depressive Symptomatology (IDS-30) and between the two versions of the briefer 16-item Quick Inventory of Depressive Symptomatology (QIDS-16). METHODS: Data were gathered for 544 adult outpatients with psychotic (N = 106) or nonpsychotic (N = 438) major depressive disorder at 14 public sector mental health clinics in the Texas Medication Algorithm Project. Data for the QIDS-16 were extracted from the IDS-30. Baseline scores and scores from the final study visit at or before month 12 were analyzed. The clinician-rated and the self-report versions of each scale were compared in their identification of response to treatment and remission. RESULTS: The average baseline IDS-SR-30 total score was 2.2 points higher (indicating greater severity) than the IDS-C-30 score; the average QIDS-SR-16 total score was only .3 points higher than the QIDS-C-16 score. The IDS-SR-30 and the IDS-C-30, as well as the QIDS-C-16 and QIDS-SR-16, agreed substantially in classifying response and remission for patients, regardless of whether the patients had psychotic features. None of a large number of clinical and demographic features accounted for differences between the QIDS-SR-16 and QIDS-C-16 total scores. CONCLUSIONS: Either the IDS-30 or the QIDS-16 self-report adequately assesses depressive symptom severity among public-sector outpatients with major depressive disorder. The briefer QIDS-16 may be preferred to save time and cost.

Adult↗

PubMed2005

Does provider adherence to a treatment guideline change clinical outcomes for patients with bipolar disorder? Results from the Texas Medication Algorithm Project.

BACKGROUND: Despite increasing adoption of clinical practice guidelines in psychiatry, there is little measurement of provider implementation of these recommendations, and the resulting impact on clinical outcomes. The current study describes one effort to measure these relationships in a cohort of public sector out-patients with bipolar disorder. METHOD: Participants were enrolled in the algorithm intervention of the Texas Medication Algorithm Project (TMAP). Study methods and the adherence scoring algorithm have been described elsewhere. The current paper addresses the relationships between patient characteristics, provider experience with the algorithm, provider adherence, and clinical outcomes. Measurement of provider adherence includes evaluation of visit frequency, medication choice and dosing, and response to patient symptoms. An exploratory composite 'adherence by visit' score was developed for these analyses. RESULTS: A total of 1948 visits from 141 subjects were evaluated, and utilized a two-stage declining effects model. Providers with more experience using the algorithm tended to adhere less to treatment recommendations. Few patient factors significantly impacted provider adherence. Increased adherence to algorithm recommendations was associated with larger decreases in overall psychiatric symptoms and depressive symptoms over time, but did not impact either immediate or long-term reductions in manic symptoms. CONCLUSIONS: Greater provider adherence to treatment guideline recommendations was associated with greater reductions in depressive symptoms and overall psychiatric symptoms over time. Additional research is needed to refine measurement and to further clarify these relationships.

Adolescent↗

PubMed2005

Brief psychiatric rating scale expanded version: How do new items affect factor structure?

Our goal was to suggest a factor structure for the Brief Psychiatric Rating Scale Expanded Version (BPRS-E) based upon a large and diverse sample and to determine which of the new items improved the factors derived from the 18-item version of the scale that have been used in clinical research for decades. We investigated the consistency of our proposed model over time and across demographic groups. As part of the Texas Medication Algorithm Project, the BPRS-E was administered to a total of 1440 psychiatric outpatients in three different diagnostic groups on multiple occasions. The sample was randomly split so that exploratory factor analysis could be done with the first half, and the model could be confirmed on the second half. A four-factor structure including factors assessing depression/anxiety, psychosis, negative symptoms, and activation was found. For each factor, we specify items in the expanded version that added to the breadth of the commonly used clinical factors while improving or maintaining goodness of fit and reliability. The final model proposed was consistent over time and across diagnosis, phase of illness, age, gender, ethnicity, and level of education. The BPRS-E has a stable four-factor structure, making it useful as a clinical outcome measure.

Adult↗

PubMed2005

Psychiatric emergency service use after implementation of managed care in a public mental health system.

OBJECTIVE: This study examined whether implementation of managed care in a public mental health system affected return visits to psychiatric emergency services within 180 days of an index visit. METHODS: Data were taken from an administrative database of 75,815 patient visits made to a hospital-based psychiatric emergency service for mental health care between January 1, 1995, and December 31, 2002. Rates of return visits for patients whose index visit occurred at least 26 weeks before a system of managed care was implemented in 1999 were compared with rates for patients whose index visit occurred after the implementation but at least 26 weeks before the data collection period ended. Declining-effects modeling was used to adjust for patients' gender, ethnicity, age, and admission status. RESULTS: A total of 37,371 patients met study criteria for inclusion: 21,135 before managed care was implemented and 16,236 after managed care was implemented. In the pre-managed care group, 3,687 patients (17 percent) made a repeat visit within 26 weeks of their index visit; 2,369 patients (15 percent) in the post-managed care group made such a repeat visit. For any given index visit to the psychiatric emergency department, patients who presented for treatment after managed care were only 90 percent as likely as patients who presented before managed care to have a return visit within the first five weeks after the index visit. However, there was essentially no difference between groups in the likelihood of a return visit by week 26 after the index visit, suggesting that managed care delayed, but did not eliminate, return visits. In addition, the number of police-accompanied index visits continued to rise after managed care was implemented (from 32.0 to 52.6 percent of all index visits), suggesting that increasing numbers of patients with mental illness in need of treatment were coming to the attention of law enforcement officials after managed care was implemented. CONCLUSIONS: Managed care strategies are often used to reduce reliance on emergency services. In this study, managed care delayed, rather than prevented, return visits to the psychiatric emergency service.

Aftercare↗

PubMed2005

Effect of structured interviews on evaluation time in pediatric community mental health settings.

OBJECTIVE: The purpose of this study was to determine whether a structured interview administered by a master's-level clinician and reported to physicians before an initial evaluation would reduce physicians' evaluation time without compromising diagnostic accuracy or clinical outcomes in a pediatric sample. METHODS: A sample of 225 children and adolescents who were seen in public-sector community facilities was randomly assigned either to receive a structured interview (the Schedule for Affective Disorders and Schizophrenia for School-aged Children-Present and Lifetime Versions) by a trained interviewer before the initial physician visit or to receive assessment as usual. Clinical outcome data were collected prospectively, with follow-up at four months. RESULTS: Physicians' evaluation time was reduced by approximately half among physicians who were given preliminary diagnostic information. Physicians' diagnoses were strongly related to the results of the structured interview. Physicians' having access to previously obtained diagnostic information was associated with better psychosocial functioning at follow-up in terms of peer relations and spare-time activities compared with assessment as usual. CONCLUSIONS: Adding a trained diagnostic interviewer to the clinical team could reduce physicians' initial diagnostic evaluation time and improve diagnostic reliability and psychosocial outcomes.

Adolescent↗

PubMed2004

Clinical results for patients with major depressive disorder in the Texas Medication Algorithm Project.

CONTEXT: The Texas Medication Algorithm Project is an evaluation of an algorithm-based disease management program for the treatment of the self-declared persistently and seriously mentally ill in the public mental health sector. OBJECTIVE: To present clinical outcomes for patients with major depressive disorder (MDD) during 12-month algorithm-guided treatment (ALGO) compared with treatment as usual (TAU). DESIGN: Effectiveness, intent-to-treat, prospective trial comparing patient outcomes in clinics offering ALGO with matched clinics offering TAU. SETTING: Four ALGO clinics, 6 TAU clinics, and 4 clinics that offer TAU to patients with MDD but provide ALGO for schizophrenia or bipolar disorder. Patients Male and female outpatients with a clinical diagnosis of MDD (psychotic or nonpsychotic) were divided into ALGO and TAU groups. The ALGO group included patients who required an antidepressant medication change or were starting antidepressant therapy. The TAU group initially met the same criteria, but because medication changes were made less frequently in the TAU group, patients were also recruited if their Brief Psychiatric Rating Scale total score was higher than the median for that clinic's routine quarterly evaluation of each patient. MAIN OUTCOME MEASURES: Primary outcomes included (1) symptoms measured by the 30-item Inventory of Depressive Symptomatology-Clinician-Rated scale (IDS-C(30)) and (2) function measured by the Mental Health Summary score of the Medical Outcomes Study 12-item Short-Form Health Survey (SF-12) obtained every 3 months. A secondary outcome was the 30-item Inventory of Depressive Symptomatology-Self-Report scale (IDS-SR(30)). RESULTS: All patients improved during the study (P<.001), but ALGO patients had significantly greater symptom reduction on both the IDS-C(30) and IDS-SR(30) compared with TAU. ALGO was also associated with significantly greater improvement in the SF-12 mental health score (P =.046) than TAU. CONCLUSION: The ALGO intervention package during 1 year was superior to TAU for patients with MDD based on clinician-rated and self-reported symptoms and overall mental functioning.

Adult↗

PubMed2004

Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design.

STAR*D is a multisite, prospective, randomized, multistep clinical trial of outpatients with nonpsychotic major depressive disorder. The study compares various treatment options for those who do not attain a satisfactory response with citalopram, a selective serotonin reuptake inhibitor antidepressant. The study enrolls 4000 adults (ages 18-75) from both primary and specialty care practices who have not had either a prior inadequate response or clear-cut intolerance to a robust trial of protocol treatments during the current major depressive episode. After receiving citalopram (level 1), participants without sufficient symptomatic benefit are eligible for randomization to level 2 treatments, which entail four switch options (sertraline, bupropion, venlafaxine, cognitive therapy) and three citalopram augment options (bupropion, buspirone, cognitive therapy). Those who receive cognitive therapy (switch or augment options) at level 2 without sufficient improvement are eligible for randomization to one of two level 2A switch options (venlafaxine or bupropion). Level 2 and 2A participants are eligible for random assignment to two switch options (mirtazapine or nortriptyline) and to two augment options (lithium or thyroid hormone) added to the primary antidepressant (citalopram, bupropion, sertraline, or venlafaxine) (level 3). Those without sufficient improvement at level 3 are eligible for level 4 random assignment to one of two switch options (tranylcypromine or the combination of mirtazapine and venlafaxine). The primary outcome is the clinician-rated, 17-item Hamilton Rating Scale for Depression, administered at entry and exit from each treatment level through telephone interviews by assessors masked to treatment assignments. Secondary outcomes include self-reported depressive symptoms, physical and mental function, side-effect burden, client satisfaction, and health care utilization and cost. Participants with an adequate symptomatic response may enter the 12-month naturalistic follow-up phase with brief monthly and more complete quarterly assessments.

Adolescent↗

PubMed2004

The Texas medication algorithm project: clinical results for schizophrenia.

In the Texas Medication Algorithm Project (TMAP), patients were given algorithm-guided treatment (ALGO) or treatment as usual (TAU). The ALGO intervention included a clinical coordinator to assist the physicians and administer a patient and family education program. The primary comparison in the schizophrenia module of TMAP was between patients seen in clinics in which ALGO was used (n = 165) and patients seen in clinics in which no algorithms were used (n = 144). A third group of patients, seen in clinics using an algorithm for bipolar or major depressive disorder but not for schizophrenia, was also studied (n = 156). The ALGO group had modestly greater improvement in symptoms (Brief Psychiatric Rating Scale) during the first quarter of treatment. The TAU group caught up by the end of 12 months. Cognitive functions were more improved in ALGO than in TAU at 3 months, and this difference was greater at 9 months (the final cognitive assessment). In secondary comparisons of ALGO with the second TAU group, the greater improvement in cognitive functioning was again noted, but the initial symptom difference was not significant.

Adolescent↗

PubMed2003

Catching up on health outcomes: the Texas Medication Algorithm Project.

OBJECTIVE: To develop a statistic measuring the impact of algorithm-driven disease management programs on outcomes for patients with chronic mental illness that allowed for treatment-as-usual controls to "catch up" to early gains of treated patients. DATA SOURCES/STUDY SETTING: Statistical power was estimated from simulated samples representing effect sizes that grew, remained constant, or declined following an initial improvement. Estimates were based on the Texas Medication Algorithm Project on adult patients (age > or = 18) with bipolar disorder (n = 267) who received care between 1998 and 2000 at 1 of 11 clinics across Texas. STUDY DESIGN: Study patients were assessed at baseline and three-month follow-up for a minimum of one year. Program tracks were assigned by clinic. DATA COLLECTION/EXTRACTION METHODS: Hierarchical linear modeling was modified to account for declining-effects. Outcomes were based on 30-item Inventory for Depression Symptomatology-Clinician Version. PRINCIPAL FINDINGS: Declining-effect analyses had significantly greater power detecting program differences than traditional growth models in constant and declining-effects cases. Bipolar patients with severe depressive symptoms in an algorithm-driven, disease management program reported fewer symptoms after three months, with treatment-as-usual controls "catching up" within one year. CONCLUSIONS: In addition to psychometric properties, data collection design, and power, investigators should consider how outcomes unfold over time when selecting an appropriate statistic to evaluate service interventions. Declining-effect analyses may be applicable to a wide range of treatment and intervention trials.

Adult↗

PubMed2003

Impact of structured clinical interviews on physicians' practices in community mental health settings.

OBJECTIVE: Budgetary constraints often limit practicing psychiatrists from conducting more thorough diagnostic evaluations. This study examined physicians' diagnosing and prescribing practices in the context of feedback from nurse-administered, structured clinical interviews of psychiatric patients in publicly funded outpatient mental health settings. METHODS: A randomized controlled trial was conducted of newly enrolled adult psychiatric patients who made at least one return visit for care at two county-supported outpatient clinics. Within two weeks after their intake psychiatric evaluation, patients were randomly assigned to receive a nurse-administered Structured Clinical Interview for DSM-IV-Clinician Version (SCID) (N=158) or to a control condition (N=138). The attending psychiatrist was provided with the SCID results. Abstracts from clinical records were used to measure differences in physicians' rates of ordering additional diagnostic evaluations, changing diagnoses, and changing types and dosages of medications at three- and six-month follow-ups. RESULTS: Physicians treating patients who received SCIDs, compared with control patients, were more likely to order evaluative procedures, update and change diagnosis (consistent with SCID results), and change prescription medication type and were less likely to increase patients' medication dosages. CONCLUSION: Nurse-administered structured clinical interviews are feasible and effectively help psychiatrists in publicly supported mental health clinics reach more accurate diagnoses for newly enrolled patients.

Adolescent↗

PubMed2003

Texas Medication Algorithm Project, phase 3 (TMAP-3): rationale and study design.

BACKGROUND: Medication treatment algorithms may improve clinical outcomes, uniformity of treatment, quality of care, and efficiency. However, such benefits have never been evaluated for patients with severe, persistent mental illnesses. This study compared clinical and economic outcomes of an algorithm-driven disease management program (ALGO) with treatment-as-usual (TAU) for adults with DSM-IV schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) treated in public mental health outpatient clinics in Texas. DISCUSSION: The disorder-specific intervention ALGO included a consensually derived and feasibility-tested medication algorithm, a patient/family educational program, ongoing physician training and consultation, a uniform medical documentation system with routine assessment of symptoms and side effects at each clinic visit to guide ALGO implementation, and prompting by on-site clinical coordinators. A total of 19 clinics from 7 local authorities were matched by authority and urban status, such that 4 clinics each offered ALGO for only 1 disorder (SCZ, BD, or MDD). The remaining 7 TAU clinics offered no ALGO and thus served as controls (TAUnonALGO). To determine if ALGO for one disorder impacted care for another disorder within the same clinic ("culture effect"), additional TAU subjects were selected from 4 of the ALGO clinics offering ALGO for another disorder (TAUinALGO). Patient entry occurred over 13 months, beginning March 1998 and concluding with the final active patient visit in April 2000. Research outcomes assessed at baseline and periodically for at least 1 year included (1) symptoms, (2) functioning, (3) cognitive functioning (for SCZ), (4) medication side effects, (5) patient satisfaction, (6) physician satisfaction, (7) quality of life, (8) frequency of contacts with criminal justice and state welfare system, (9) mental health and medical service utilization and cost, and (10) alcohol and substance abuse and supplemental substance use information. Analyses were based on hierarchical linear models designed to test for initial changes and growth in differences between ALGO and TAU patients over time in this matched clinic design.

Adolescent↗

PubMed2003

Texas Medication Algorithm Project, phase 3 (TMAP-3): clinical results for patients with a history of mania.

BACKGROUND: The Texas Medication Algorithm Project (TMAP) assessed the clinical and economic impact of algorithm-driven treatment (ALGO) as compared with treatment-as-usual (TAU) in patients served in public mental health centers. This report presents clinical outcomes in patients with a history of mania (BD), including bipolar I and schizoaffective disorder, bipolar type, during 12 months of treatment beginning March 1998 and ending with the final active patient visit in April 2000. METHOD: Patients were diagnosed with bipolar I disorder or schizoaffective disorder, bipolar type, according to DSM-IV criteria. ALGO was comprised of a medication algorithm and manual to guide treatment decisions. Physicians and clinical coordinators received training and expert consultation throughout the project. ALGO also provided a disorder-specific patient and family education package. TAU clinics had no exposure to the medication algorithms. Quarterly outcome evaluations were obtained by independent raters. Hierarchical linear modeling, based on a declining effects model, was used to assess clinical outcome of ALGO versus TAU. RESULTS: ALGO and TAU patients showed significant initial decreases in symptoms (p =.03 and p <.001, respectively) measured by the 24-item Brief Psychiatric Rating Scale (BPRS-24) at the 3-month assessment interval, with significantly greater effects for the ALGO group. Limited catch-up by TAU was observed over the remaining 3 quarters. Differences were also observed in measures of mania and psychosis but not in depression, side-effect burden, or functioning. CONCLUSION: For patients with a history of mania, relative to TAU, the ALGO intervention package was associated with greater initial and sustained improvement on the primary clinical outcome measure, the BPRS-24, and the secondary outcome measure, the Clinician-Administered Rating Scale for Mania (CARS-M). Further research is planned to clarify which elements of the ALGO package contributed to this between-group difference.

Adolescent↗

PubMed2002

Impact of work therapy on health status among homeless, substance-dependent veterans: a randomized controlled trial.

BACKGROUND: Little is known about the health outcomes of clinician-supervised, performance-based, abstinence-contingent therapeutic work programs on homeless persons with addiction disorders. This study examined the effect of the Department of Veterans Affairs compensated work therapy program (CWT) on nonvocational outcomes. With mandatory urine screenings and adherence to addiction treatment schedules, CWT provided work opportunities (wages, hours, and responsibilities) with jobs created from Veterans Affairs contracts competitively obtained from private industry. METHODS: Homeless, substance-dependent veterans (N = 142) from 4 Department of Veterans Affairs medical centers were randomized, assessed at baseline, and reassessed at 3-month intervals for 1 year. Both CWT and control groups had access to comprehensive rehabilitation, addictions, psychiatric, and medical services. Data were analyzed to determine an immediate CWT effect after treatment and rates of change during 1 year. RESULTS: Compared with control subjects, patients in the CWT program were more likely to (1) initiate outpatient addictions treatment, (2) experience fewer drug and alcohol problems, (3) report fewer physical symptoms related to substance use, (4) avoid further loss of physical functioning, and (5) have fewer episodes of homelessness and incarceration. No effect on psychiatric outcomes was found. CONCLUSION: Work therapy can enhance nonvocational outcomes of addiction treatment for homeless persons, although long-term gains remain unknown.

Adult↗

PubMedDate not supplied

Sexual assault in women veterans: an examination of PTSD risk, health care utilization, and cost of care.

OBJECTIVE: This study examines the differential impact of military, civilian adult, and childhood sexual assault on the likelihood of developing posttraumatic stress disorder (PTSD). It also examines the relationship of military sexual assault (MSA) to service utilization and health care costs among women who access services through Veterans Affairs (VA). METHODS: A convenience sample of 270 veteran women receiving medical and/or mental health treatment at the VA North Texas Healthcare System participated in the study. Participants were interviewed using the Clinician Administered PTSD Scale (CAPS) and categorized into a sexual assault group using the Interview of Sexual Experiences (ISE). A chart review was also conducted to determine the frequency of diagnoses among the women. Data regarding health care utilization was obtained from self-report using the Utilization and Cost Patient Questionnaire (UAC-PQ) and VA administrative records. RESULTS: Compared with those without a history of sexual assault, women veterans were 9 times more likely to have PTSD if they had a history of MSA, 7 times more likely if they had childhood sexual assault (CSA) histories, and 5 times more likely if they had civilian sexual assault histories. An investigation of medical charts revealed that PTSD is diagnosed more often for women with a history of MSA than CSA. CSA was associated with a significant increase in health care utilization and cost for services, but there was no related increase in use or cost associated with MSA. CONCLUSION: Women veterans have differential rates of PTSD due to sexual assault, with higher rates found among those assaulted while on active duty. Although women with MSA are more likely to have PTSD, results suggest that they are receiving fewer health care services.

Adolescent↗