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Association of Insurance Status With Provision of Recommended Services During Comprehensive Postpartum Visits.

ABSTRACT: Importance:Improving care during the postpartum period is a clinical and policy priority. During the comprehensive postpartum visit, guidelines recommend delivery of a large number of assessment, screening, and counseling services. However, little is known about services provided during these visits. Objective:To examine rates of recommended services during the comprehensive postpartum visits and differences by insurance type. Design, Setting, and Participants:This cross-sectional study included 20?071?093 weighted office-based postpartum visits (645 observations) with obstetrical-gynecological or family medicine physicians from annual National Ambulatory Medical Care Surveys from December 28, 2008, to December 31, 2016, and estimated multivariate regression models to calculate the frequency of recommended services by insurance type, controlling for visit, patient, and physician characteristics. Data analysis was conducted from November 1, 2019, to September 1, 2020. Exposures:Visit paid by Medicaid vs other payment types. Main Outcomes and Measures:Visit length and binary indicators of blood pressure measurement, depression screening, contraceptive counseling or provision, pelvic examinations, Papanicolaou tests, breast examinations, medication ordered or provided, referral to other physician, and counseling for weight reduction, exercise, stress management, diet and/or nutrition, and tobacco use. Results:A total of 20?071?093 weighted comprehensive postpartum visits to office-based family medicine or obstetrical-gynecological physicians were included (mean patient age, 29.7 [95% CI, 29.1-30.3] years). Of these visits, 34.3% (95% CI, 27.6%-41.1%) were covered by Medicaid. Mean visit length was 17.4 (95% CI, 16.4-18.5) minutes. The most common procedures were blood pressure measurement (91.1% [95% CI, 88.0%-94.2%]), pelvic examinations (47.3% [95% CI, 40.8%-53.7%]), and contraception counseling or provision (43.8% [95% CI, 38.2%-49.3%]). Screening for depression (8.7% [95% CI, 4.1%-12.2%]) was less common. When controlling for visit, patient, and physician characteristics, the only significant difference in visit length or provision of recommended services based on insurance type was a difference in provision of breast examinations (14.7% [95% CI, 8.0%-21.5%] for Medicaid vs 25.6% [95% CI, 19.4%-31.8%] for non-Medicaid; P?=?.02). Conclusions and Relevance:These findings suggest that receipt of recommended services during comprehensive postpartum visits is less than 50% for most services and is similar across insurance types. These findings underscore the importance of efforts to reconceptualize postpartum care to ensure women have access to a range of supports to manage their health during this sensitive period.

SUBMITTER: Geissler K

PROVIDER: S-EPMC7656283 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Association of Insurance Status With Provision of Recommended Services During Comprehensive Postpartum Visits.

Geissler Kimberley K Ranchoff Brittany L BL Cooper Michael I MI Attanasio Laura B LB

JAMA network open 20201102 11

<h4>Importance</h4>Improving care during the postpartum period is a clinical and policy priority. During the comprehensive postpartum visit, guidelines recommend delivery of a large number of assessment, screening, and counseling services. However, little is known about services provided during these visits.<h4>Objective</h4>To examine rates of recommended services during the comprehensive postpartum visits and differences by insurance type.<h4>Design, setting, and participants</h4>This cross-se ...[more]

PMID: 33170263

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Project description:IntroductionPostpartum family planning is an effective means of achieving improved health outcomes for women and children, especially in low- and middle-income settings. We assessed the cost-effectiveness of an immediate postpartum intrauterine device (PPIUD) initiative compared with standard practice in Bangladesh and Tanzania (which is no immediate postpartum family planning counseling or service provision) to inform resource allocation decisions for governments and donors.MethodsA decision analysis was constructed to compare the PPIUD program with standard practice. The analysis was based on the number of PPIUD insertions, which were then modeled using the Impact 2 tool to produce estimates of cost per couple-years of protection (CYP) and cost per disability-adjusted life years (DALYs) averted. A micro-costing approach was used to estimate the costs of conducting the program, and downstream cost savings were generated by the Impact 2 tool. Results are presented first for the program as evaluated, and second, based on a hypothetical national scale-up scenario. One-way sensitivity analyses were conducted.ResultsCompared to standard practice, the PPIUD program resulted in an incremental cost-effectiveness ratio (ICER) of US$14.60 per CYP and US$91.13 per DALY averted in Bangladesh, and US$54.57 per CYP and US$67.67 per DALY averted in Tanzania. When incorporating estimated direct health care costs saved, the results for Bangladesh were dominant (PPIUD is cheaper and more effective versus standard practice). For Tanzania, the PPIUD initiative was highly cost-effective, with the ICER (incorporating direct health care costs saved) estimated at US$15.20 per CYP and US$18.90 per DALY averted compared to standard practice. For the national scale-up model, the results were dominant in both countries.Conclusions/implications: The PPIUD initiative was highly cost-effective in Bangladesh and Tanzania, and national scale-up of PPIUD could produce long-term savings in direct health care costs in both countries. These analyses provide a compelling case for national governments and international donors to invest in PPIUD as part of their family planning strategies.

Project description:Interventions: The recruitment process will follow 2 ways: 1.Based on the characterization, the target population recorded in the database of the insurance health company will be invited to participate until the estimated sample size is completed. 2. During the hospitalization the patients can be detected and invited to participate into the study. In both, the informed consent will be a prior and required procedure. The study will assess the outcomes in the same group of patients before and after intervention. The intervention follows the next steps: 1. Case detection: Identifying if the patient suffers from multiple diseases, if there are readmissions and high demand for health services during hospital stay or according to the reports of the health promoting entity (EPS in Spanish). 2. Case screening: assessing complexity INTERMED scale (European Consultation-Liaison Workgroup for General Hospital Psychiatry and Psychosomatic), medium-high or high). 3. To establish the baseline measurement of indicators to comparate during post-intervention. 4. Comprehensive and multidimensional assessment of the patient: identifying care needs. 5. Assessment of caregiver burden: identifying fatigue and general health status. 6. Personalized care plan: a comprehensive and individual plan is made for each case according to the needs detected. 7. Coordination between providers: contacts and procedures to secure referral to service providers as required by the patient and the family caregiver. 8. Monitoring and evaluation of the personalized plan.;Comprehensive Health Care;Patient Care Management;Long-Term Care;Delivery of Health Care ;Progressive Patient Care;Caregivers Primary outcome(s): 1. Demand for health care services. (Frequency of use of health services for causes related to multi-pathological clinical categories, Measurement tool: Patients Database). Measurement time: At baseline and, 6 months. 2. Admission and re-admission (Frequency of unscheduled admissions and re-admissions related to multi-pathological clinical categories, Measurement tool: Patients Database). Measurement time: At baseline and, 6 months. 3. Pharmaceutical prescription (Medications prescribed to the patient,Measurement tool: drug-dispending database). Measurement time: At baseline and, 6 months. Study Design: Allocation: Non-randomized controlled trial. Masking: Open. Control group: Historical. Assignment: Single group. Purpose: Prevention

Project description:ImportanceNavigating health insurance and health care choices requires considerable health insurance literacy. Although recommended preventive services are exempt from out-of-pocket costs under the Affordable Care Act, many people may remain unaware of this provision and its effect on their required payment. Little is known about the association between individuals' health insurance literacy and their use of preventive or nonpreventive health care services.ObjectiveTo assess the association between health insurance literacy and self-reported avoidance of health care services owing to cost.Design, setting, and participantsIn this survey study, a US national, geographically diverse, nonprobability sample of 506 US residents aged 18 years or older with current health insurance coverage was recruited to participate in an online survey between February 22 and 23, 2016.Main outcomes and measuresThe validated 21-item Health Insurance Literacy Measure (HILM) assessed individuals' self-rated confidence in selecting and using health insurance (score range, 0-84, with higher scores indicating greater levels of health insurance literacy). Dependent variables included delayed or foregone preventive and nonpreventive services in the past 12 months owing to perceived costs, and preventive and nonpreventive use of services. Covariates included age, sex, race/ethnicity, income, educational level, high-deductible health insurance plan, health literacy, numeracy, and chronic health conditions. Analyses included descriptive statistics and bivariate and multivariable logistic regression.ResultsA total of 506 of 511 participants who began the survey completed it (participation rate, 99.0%). Of the 506 participants, 339 (67.0%) were younger than 35 years (mean [SD] age, 34 [10.4] years), 228 (45.1%) were women, 406 of 504 who reported race (80.6%) were white, and 245 (48.4%) attended college for 4 or more years. A total of 228 participants (45.1%) had 1 or more chronic health condition, 361 of 500 (72.2%) who responded to the survey item had seen a physician in the outpatient setting in the past 12 months, and 446 of the 501 (89.0%) who responded to the survey item had their health insurance plan for 12 or more months. One hundred fifty respondents (29.6%) reported having delayed or foregone care because of cost. The mean (SD) HILM score was 63.5 (12.3). In multivariable logistic regression, each 12-point increase in HILM score was associated with a lower likelihood of both delayed or foregone preventive care (adjusted odds ratio [aOR], 0.61; 95% CI, 0.48-0.78) and delayed or foregone nonpreventive care (aOR, 0.71; 95% CI, 0.55-0.91).Conclusions and relevanceThis study's findings suggest that lower health insurance literacy may be associated with greater avoidance of both preventive and nonpreventive services. It appears that to improve appropriate use of recommended health care services, including preventive health services, clinicians, health plans, and policymakers may need to communicate health insurance concepts in accessible ways regardless of individuals' health insurance literacy. Plain language communication may be able to improve patients' understanding of services exempt from out-of-pocket costs.

Project description:OBJECTIVES:Policymakers have increasingly focused on emergency department (ED) utilization for primary care-treatable conditions as a potentially avoidable source of rising health care costs. The objective was to determine the association of health insurance type and arrival time, as indicators of limited availability of primary care, with primary care-treatable classification of ED visits. METHODS:This was a retrospective analysis of a nationally representative sample of 241,167 ED visits from the 1997 to 2009 National Hospital Ambulatory Medical Care Surveys (NHAMCS). Probabilities of ED visits being primary care-treatable were categorized based on the primary International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code. The association of health insurance type and arrival time was determined with the average probability of the primary diagnosis being primary care-treatable using multivariable linear regression. RESULTS:Compared to privately insured visits, Medicaid visits had a 1.7% (95% confidence interval [CI] = 1.2% to 2.2%) and uninsured visits a 2.4% (95% CI = 1.9% to 3.0%) higher probability of primary care-treatable classification, while Medicare visits had a 1.4% (95% CI = 0.7% to 2.0%) lower probability during the overall study period. Compared to business hours, weekend visits had a 1.5% (95% CI = 1.0% to 2.0%) higher probability of being primary care-treatable during the overall study period. From 1997 to 2009, the overall adjusted probability of ED visits being primary care-treatable increased by 0.19% (95% CI = 0.10 to 0.28) per year. This probability increased at a rate of 0.52% per year for Medicare visits (95% CI = 0.38% to 0.65%), more than double that of Medicaid visits (0.25% per year, 95% CI = 0.13% to 0.37%). By contrast, there was no significant change from 1997 to 2009 in the average probability of ED visits being primary care-treatable by privately insured (0.05% per year, 95% CI = -0.07 to 0.16) or uninsured (0.00% per year, 95% CI = -0.12 to 0.13) individuals. CONCLUSIONS:These findings add to prior work that implicates insurance type and arrival time in the variation of primary care-treatable ED visits. Although primary care-treatable classification of ED visits was most associated with uninsured or Medicaid visits, this classification increased most rapidly among Medicare visits during the study period.

Dataset Information

Association of Insurance Status With Provision of Recommended Services During Comprehensive Postpartum Visits.

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Association of Insurance Status With Provision of Recommended Services During Comprehensive Postpartum Visits.

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