Relationships between Acute and Postacute Care Providers: Measurement and Estimation.
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ABSTRACT:
SUBMITTER: Konetzka RT
PROVIDER: S-EPMC5583305 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Publications
Relationships between Acute and Postacute Care Providers: Measurement and Estimation.
Konetzka R Tamara RT Werner Rachel M RM
Health services research 20170605 5
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Project description:BackgroundInfertility patients generally see provider-patient communication and relationships as important, but as often insufficient, raising critical questions regarding why these gaps persist, and how they might best be addressed.MethodsSemi-structured interviews of approximately one hour each were conducted with 37 ART providers and patients (17 physicians, 10 other health providers, and 10 patients) and were thematically analyzed.ResultsPatients see clinicians' interactions as ranging widely from good to bad, related to several specific barriers and factors. Patients and providers may differ in their physical and emotional experiences, expectations concerning treatment outcomes and uncertainties, and time frames and finances, generating dynamic processes and tensions. Characteristics of particular providers, clinics and patients can also vary. Infertility patients tend to find only one outcome acceptable - a "take home baby" - rather than partial success, as is the case with many other diseases. Yet most IVF cycles fail. Many patients must pay considerable out-of-pocket expenses for infertility treatment, exacerbating disappointments and frustrations. Providers often work in competitive, entrepreneurial markets, and "hype" their potential success. After treatment failures, providers may feel guilty and withdraw from patients. Yet these behaviors can antagonize patients more than physicians realize, aggravating patient stresses. Several providers described how they understood patients' needs and perceptions more fully only after becoming infertility patients themselves. Interactions with not only physicians, but other providers (e.g., nurses and staff) can play key roles. Patients may be willing to understand these impediments, but providers often communicate these obstacles and reasons poorly or not at all, furthering tensions.ConclusionsThese data, the first to examine several critical aspects of challenges that infertility providers and patients face in communication and relationships, suggest that several key dynamic processes and factors may be involved, and need to be addressed. While prior research has shown that infertility patients value, but often feel disappointed in relationships with clinicians, the present data highlight several specific impediments, and thus have critical implications for future practice, research, guidelines and education.
| S-EPMC5989459 | biostudies-literature
Project description:ObjectiveTo examine the extent to which accountable care organizations (ACOs) formally incorporate postacute care providers.Data sourcesThe National Survey of ACOs (N = 269, response rate 66 percent).Study designWe report statistics on ACOs' formal inclusion of postacute care providers and the organizational characteristics and clinical capabilities of ACOs that have postacute care.Principal findingsHalf of ACOs formally include at least one postacute service, with inclusion at higher rates in ACOs with commercial (64 percent) and Medicaid contracts (70 percent) compared to ACOs with Medicare contracts only (45 percent). ACOs that have a formal relationship with a postacute provider are more likely to have advanced transition management, end of life planning, readmission prevention, and care management capabilities.ConclusionsMany ACOs have not formally engaged postacute care, which may leave room to improve service integration and care management.
| S-EPMC4946026 | biostudies-literature
Project description:Profiling analysis aims to evaluate health care providers by modeling each provider's performance with respect to a patient outcome, such as unplanned hospital readmission. High-dimensional regression models are used in profiling to risk-adjust for patient case-mix covariates. Case-mix covariates typically ascertained from administrative databases are inherently error-prone. We examine the impact of case-mix measurement error (ME) on profiling models. The results show that even though the models' coefficient estimates are biased, this does not affect the estimation of standardized readmission ratio (SRR). However, ME leads to increased variation in SRR estimates and degrades the ability to identify under-performing providers.
| S-EPMC7731965 | biostudies-literature
Project description:BackgroundMeasuring person-centred outcomes and using this information to improve service delivery is a challenge for many care providers. We aimed to identify predictors of QoL among older adults receiving community-based aged care services and examine variation across different community care service outlets.MethodsA retrospective sample of 1141 Australians aged ≥60 years receiving community-based care services from a large service provider within 19 service outlets. Clients' QoL was captured using the ICEpop CAPability Index. QoL scores and predictors of QoL (i.e. sociodemographic, social participation and service use) were extracted from clients' electronic records and examined using multivariable regression. Funnel plots were used to examine variation in risk-adjusted QoL scores across service outlets.ResultsMean age was 81.5 years (SD = 8) and 75.5% were women. Clients had a mean QoL score of 0.81 (range 0-1, SD = 0.15). After accounting for other factors, being older (p < 0.01), having lower-level care needs (p < 0.01), receiving services which met needs for assistance with activities of daily living (p < 0.01), and having higher levels of social participation (p < 0.001) were associated with higher QoL scores. Of the 19 service outlets, 21% (n = 4) had lower mean risk-adjusted QoL scores than expected (< 95% control limits) and 16% (n = 3) had higher mean scores than expected.ConclusionUsing QoL as an indicator to compare care quality may be feasible, with appropriate risk adjustment. Implementing QoL tools allows providers to measure and monitor their performance and service outcomes, as well as identify clients with poor quality of life who may need extra support.Trial registrationAustralian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.
| S-EPMC8240205 | biostudies-literature
Project description:ObjectivesTo fill the existing research gap related to long-term costs of postacute care in methanol poisoning survivors, healthcare cost for 6 years after the outbreak has been modelled and estimated.DesignIn a prospective longitudinal cohort study, data collected from 55 survivors of the Czech methanol mass poisoning outbreak in 2012 were collected in four rounds (5 months, then 2, 4 and 6 years after the discharge) in the General University Hospital in Prague according to the same predefined study protocol. The collected data were used to inform the cost model.Setting and participantsAll 83 patients discharged from a hospital poisoning treatment after the 2012 methanol outbreak were informed about the study and invited to participate. Fifty-five patients (66%) gave their written informed consent and were followed until their death or the last follow-up 6 years later. The costs were modelled from the Czech healthcare service (general health insurance) perspective.Main outcome measuresLong-term national budget impact of the methanol poisoning outbreak, frequencies of sequelae and their average costs.ResultsThe postacute cost analysis concentrated on visual and neurological sequelae that were shown to be dominant. Collected data were used to create process maps portraying gradual changes in long-term sequelae over time. Individual process maps were created for the central nervous system, peripheral nervous system, sequelae detected during eye examinations and sequelae concerning the visual evoked potentials. Based on the process maps the costs of the postacute outpatient care were estimated.ConclusionsIn 2013-2019 the highest costs per patient related to postacute care were found in the first year; the average costs decreased afterwards, and remained almost constant for the rest of the studied period of time. These costs per patient ranged from CZK4142 in 2013 to CZK1845 in 2018, when they raised to CZK2519 in 2019 again.
| S-EPMC8137204 | biostudies-literature
Project description:ObjectivesQuantify the relationship between increasing influenza and respiratory syncytial virus (RSV) community viral activity and cardiorespiratory rehospitalizations among older adults discharged to skilled nursing facilities (SNFs).DesignRetrospective cohort.Setting and participantsAdults aged ≥65 years who were hospitalized and then discharged to a US SNF between 2012 and 2015.MethodsWe linked Medicare Provider Analysis and Review claims to Minimum Data Set version 3.0 assessments, PRISM Climate Group data, and the Centers for Disease Control and Prevention viral testing data. All data were aggregated to US Department of Health and Human Services regions. Negative binomial regression models quantified the relationship between increasing viral activity for RSV and 3 influenza strains (H1N1pdm09, H3N2, and B) and cardiorespiratory rehospitalizations from SNFs. Incidence rate ratios described the relationship between a 5% increase in circulating virus and the rates of rehospitalization for cardiorespiratory outcomes. Analyses were repeated using the same model, but influenza and RSV were considered "in season" or "out of season" based on a 10% positive testing threshold.ResultsCardiorespiratory rehospitalization rates increased by approximately 1% for every 5% increase in circulating influenza A(H3N2), influenza B, and RSV, but decreased by 1% for every 5% increase in circulating influenza A(H1N1pdm09). When respiratory viruses were in season (vs out of season), cardiorespiratory rehospitalization rates increased by approximately 6% for influenza A(H3N2), 3% for influenza B, and 5% for RSV, but decreased by 6% for influenza A(H1N1pdm09).Conclusions and implicationsThe respiratory season is a particularly important period to implement interventions that reduce cardiorespiratory hospitalizations among SNF residents. Decreasing viral transmission in SNFs through practices such as influenza vaccination for residents and staff, use of personal protective equipment, improved environmental cleaning measures, screening and testing of residents and staff, surveillance of viral activity, and quarantining infected individuals may be potential strategies to limit viral infections and associated cardiorespiratory rehospitalizations.
| S-EPMC9308831 | biostudies-literature
Project description:Provider profiling has been recognized as a useful tool in monitoring health care quality, facilitating inter-provider care coordination, and improving medical cost-effectiveness. Existing methods often use generalized linear models with fixed provider effects, especially when profiling dialysis facilities. As the number of providers under evaluation escalates, the computational burden becomes formidable even for specially designed workstations. To address this challenge, we introduce a serial blockwise inversion Newton algorithm exploiting the block structure of the information matrix. A shared-memory divide-and-conquer algorithm is proposed to further boost computational efficiency. In addition to the computational challenge, the current literature lacks an appropriate inferential approach to detecting providers with outlying performance especially when small providers with extreme outcomes are present. In this context, traditional score and Wald tests relying on large-sample distributions of the test statistics lead to inaccurate approximations of the small-sample properties. In light of the inferential issue, we develop an exact test of provider effects using exact finite-sample distributions, with the Poisson-binomial distribution as a special case when the outcome is binary. Simulation analyses demonstrate improved estimation and inference over existing methods. The proposed methods are applied to profiling dialysis facilities based on emergency department encounters using a dialysis patient database from the Centers for Medicare & Medicaid Services.
| S-EPMC9314652 | biostudies-literature
Project description:Weak service coordination between community corrections and community treatment agencies is a significant barrier in the diffusion of pharmacotherapy for treating opioid and alcohol use disorders. This analysis draws on qualitative interviews (n=141) collected in a multisite randomized trial to explore what probation/parole officers and treatment staff believe are the most critical influences on developing positive interorganizational relationships (IORs) between their respective agencies. Officers and treatment staff highlighted factors at both the individual and organizational level, with issues related to communication surfacing as pivotal. Findings suggest that future interventions consider developing shared interagency goals with input at all staff levels.
| S-EPMC5423682 | biostudies-other
Project description:ObjectiveTo examine the extent to which there was any therapeutic relationship between Veterans and their initial buprenorphine provider and whether the presence of this relationship influenced treatment retention.Data sourcesNational, secondary administrative data used from the Veterans Health Administration (VHA), 2008-2017.Study designRetrospective cohort study. The primary exposure was a therapeutic relationship between the Veteran and buprenorphine provider, defined as the presence of a previous visit or medication prescribed by the provider in the 2 years preceding buprenorphine treatment initiation. The primary outcome was treatment discontinuation, evaluated as 14 days of absence of medication from initiation through 1 year.Data collection/extraction methodsAdult Veterans (age ≥ 18 years) diagnosed with opioid use disorder and treated with buprenorphine or buprenorphine/naloxone within the VHA system were included in this study. We excluded those receiving buprenorphine patches, those with documentation of a metastatic tumor diagnosis within 2 years prior to buprenorphine initiation, and those without geographical information on rurality.Principal findingsA total of 28,791 Veterans were included in the study. Within the overall study sample, 56.3% (n = 16,206) of Veterans previously had at least one outpatient encounter with their initial buprenorphine provider, and 24.9% (n = 7174) of Veterans previously had at least one prescription from that provider in the 2 years preceding buprenorphine initiation. There was no significant or clinically meaningful association between therapeutic relationship history and treatment retention when defined as visit history (aHR: 0.99; 95% CI: 0.96, 1.02) or medication history (aHR: 1.03; 95% CI: 1.00, 1.07).ConclusionsVeterans initiating buprenorphine frequently did not have a therapeutic history with their initial buprenorphine provider, but this relationship was not associated with treatment retention. Future work should investigate how the quality of Veteran-provider therapeutic relationships influences opioid use dependence management and whether eliminating training requirements for providers might affect access to buprenorphine, and subsequently, treatment initiation and retention.
| S-EPMC8928033 | biostudies-literature
Project description:BackgroundInformation exchange is essential for transitioning high-quality care between care settings. Inadequate or delayed information exchange can result in medication errors, missed test results, considerable delays in care, and even readmissions. Unfortunately, long-term and postacute care facilities often lag behind other health care facilities in adopting health information technologies, increasing difficulty in facilitating care transitions through electronic information exchange. The research gap is most evident when considering the implications of the inability to electronically transfer patients' health records between these facilities.ObjectiveThis study aimed to design and evaluate an open standards-based interoperability solution that facilitates seamless bidirectional information exchange between acute care and long-term and postacute care facilities using 2 vendor electronic health record (EHR) systems.MethodsUsing the design science research methodology, we designed an interoperability solution that improves the bidirectional information exchange between acute care and long-term care (LTC) facilities using different EHR systems. Different approaches were applied in the study with a focus on the relevance cycle, including eliciting detailed requirements from stakeholders in the health system who understand the complex data formats, constraints, and workflows associated with transferring patient records between 2 different EHR systems. We performed literature reviews and sought experts in the health care industry from different organizations with a focus on the rigor cycle to identify the components relevant to the interoperability solution. The design cycle focused on iterating between the core activities of implementing and evaluating the proposed artifact. The artifact was evaluated at a health care organization with a combined footprint of acute and postacute care operations using 2 different EHR systems.ResultsThe resulting interoperability solution offered integrations with source systems and was proven to facilitate bidirectional information exchange for patients transferring between an acute care facility using an Epic EHR system and an LTC facility using a PointClickCare EHR system. This solution serves as a proof of concept for bidirectional data exchange between Epic and PointClickCare for medications, yet the solution is designed to expand to additional data elements such as allergies, problem lists, and diagnoses.ConclusionsHistorically, the interoperability topic has centered on hospital-to-hospital data exchange, making it more challenging to evaluate the efficacy of data exchange between other care settings. In acute and LTC settings, there are differences in patients' needs and delivery of care workflows that are distinctly unique. In addition, the health care system's components that offer long-term and acute care in the United States have evolved independently and separately. This study demonstrates that the interoperability solution improves the information exchange between acute and LTC facilities by simplifying data transfer, eliminating manual processes, and reducing data discrepancies using a design science research methodology.
| S-EPMC9985001 | biostudies-literature