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Modeling efficiency at the process level: an examination of the care planning process in nursing homes.

ABSTRACT: To examine the efficiency of the care planning process in nursing homes.We collected detailed primary data about the care planning process for a stratified random sample of 107 nursing homes from Kansas and Missouri. We used these data to calculate the average direct cost per care plan and used data on selected deficiencies from the Online Survey Certification and Reporting System to measure the quality of care planning. We then analyzed the efficiency of the assessment process using corrected ordinary least squares (COLS) and data envelopment analysis (DEA).Both approaches suggested that there was considerable inefficiency in the care planning process. The average COLS score was 0.43; the average DEA score was 0.48. The correlation between the two sets of scores was quite high, and there was no indication that lower costs resulted in lower quality. For-profit facilities were significantly more efficient than not-for-profit facilities.Multiple studies of nursing homes have found evidence of inefficiency, but virtually all have had measurement problems that raise questions about the results. This analysis, which focuses on a process with much simpler measurement issues, finds evidence of inefficiency that is largely consistent with earlier studies. Making nursing homes more efficient merits closer attention as a strategy for improving care. Increasing efficiency by adopting well-designed, reliable processes can simultaneously reduce costs and improve quality.

SUBMITTER: Lee RH

PROVIDER: S-EPMC2669624 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature

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Modeling efficiency at the process level: an examination of the care planning process in nursing homes.

Lee Robert H RH Bott Marjorie J MJ Gajewski Byron B Taunton Roma Lee RL

Health services research 20080908 1

<h4>Objective</h4>To examine the efficiency of the care planning process in nursing homes.<h4>Methods</h4>We collected detailed primary data about the care planning process for a stratified random sample of 107 nursing homes from Kansas and Missouri. We used these data to calculate the average direct cost per care plan and used data on selected deficiencies from the Online Survey Certification and Reporting System to measure the quality of care planning. We then analyzed the efficiency of the as ...[more]

PMID: 18783455

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Project description:Advance Care Planning (ACP) is the repeated communication and decision-making process between the patient, family, and healthcare professionals. This study describes an ACP intervention in nursing homes and evaluates the outcomes of the implementation process.The ACP intervention was part of a 4-month complex, cluster randomized controlled trial (COSMOS). 37 Norwegian nursing homes with 72 units (1 cluster?=?1 unit) and 765 patients were invited to participate and eligible units were randomised to the intervention group or control. Nursing home staff in the intervention group was offered a standardized education programme to learn early and repeated communication with patients and families and to implement ACP in their units. We used a train-the-trainer approach to educate staff in the units, supported by regular telephone calls and a midway seminar after two months. Individual patient logs consisting of different communication deliverables were used to evaluate the implementation process. Supported by Qualitative Content Analyses, we identified facilitators and barriers of the ACP implementation based on feedback during midway seminars and individual patient logs.The ACP intervention was conducted in 36 NH units (n?=?297); 105 healthcare providers participated at the education seminar prior to the study, and 3-4 employees from each unit participated in the midway seminar. NH staff reported the educational material relevant for the implementation strategy. The patient logs showed that ACP was successfully implemented in 62% (n?=?183) of the patients using our predefined implementation criteria. The staff emphasized the clear communication of the relevance of ACP addressed to leaders and staff as important facilitators, along with the clearly defined routines, roles and responsibilities. Identified barriers included lack of competence, perceived lack of time, and conflicting culture and staff opinions.Monthly communication with the family was the most frequently conducted communication, and the predefined criteria of successfully implemented ACP were largely achieved. Nursing home routines and engagement of leaders and staff were crucial facilitators, whereas lack of time and competence reduced the implementation success.The COSMOS-trial was registered in the ClinicalTrials.gov ( NCT02238652 ) July 7th, 2014.

Project description:BACKGROUND:Research has highlighted the need for improving the implementation of advance care planning (ACP) in nursing homes. We developed a theory-based multicomponent ACP intervention (the ACP+ programme) aimed at supporting nursing home staff with the implementation of ACP into routine nursing home care. We describe here the protocol of a cluster randomised controlled trial (RCT) that aims to evaluate the effects of ACP+ on nursing home staff and volunteer level outcomes and its underlying processes of change. METHODS:We will conduct a cluster RCT in Flanders, Belgium. Fourteen eligible nursing homes will be pair-matched and one from each pair will be randomised to either continue care and education as usual or to receive the ACP+ programme (a multicomponent programme which is delivered stepwise over an eight-month period with the help of an external trainer). Primary outcomes are: nursing home care staff's knowledge of, and self-efficacy regarding ACP. Secondary outcomes are: 1) nursing home care staff's attitudes towards ACP and ACP practices; 2) support staff's and volunteer's ACP practices and 3) support staff's and volunteers' self-efficacy. Measurements will be performed at baseline and eight months post-measurement, using structured self-reported questionnaires. A process evaluation will accompany the outcome evaluation in the intervention group, with measurements throughout and post-intervention to assess implementation, mechanisms of impact and context and will be carried out using a mixed-methods design. DISCUSSION:There is little high-quality evidence regarding the effectiveness and underlying processes of change of ACP in nursing homes. This combined outcome and process evaluation of the ACP+ programme aims to contribute to building the necessary evidence to improve ACP and its uptake for nursing home residents and their family. TRIAL REGISTRATION:The study is registered at ClinicalTrials.gov (no. NCT03521206). Registration date: May 10, 2018. Inclusion of nursing homes started March, 2018. Hence, the trial was retrospectively registered but before end of data collection and analyses.

Project description:BackgroundClose to half of all deaths in Norway occur in nursing homes, which signals a need for good communication on end-of-life care. Advance care planning (ACP) is one means to that end, but in Norwegian nursing homes, ACP is not common. This paper describes the protocol of a project evaluating an ACP-intervention in Norwegian nursing homes. The aims of this research project were to promote the possibility for conversations about the end of life with patients and relatives; promote patient autonomy; create a better foundation for important decisions in the case of medical emergencies and at the end of life; and gain experiences in order to find out what characterizes good ACP and good implementation strategies.Methods/designThis study was a mixed method study including a cluster-randomized clinical trial. Eight nursing home wards or "clusters" were pair-matched, and one ward from each pair was randomly selected for a 12-month intervention. The intervention consisted of implementing an ACP-guideline. Implementation strategies were training and supervision of project teams and staff in using the guideline, written information to patients and next of kin, and information meetings with nursing home staff. The project was evaluated using both quantitative and qualitative data, and both outcome and process evaluation. Quantitative data included patient chart reviews of ACP, diagnoses, patient preferences for decision-making and treatment, values and wishes that are more general, documented life-prolonging treatment and hospitalizations, and concordance between patient wishes and treatment. The primary outcome was documented ACP. Qualitative data included observations of conversations, interviews with patients, next of kin and health care personnel, logs from project coordinators and conversations, and transcripts from meetings with project teams in the intervention group.DiscussionThis project attempted to increase the quality and use of ACP in Norwegian nursing homes (NH). A mixed methods approach, inclusion of patients with dementia, attempts to involve, as many patients as possible, and a sustainable implementation plan adapted to real life in nursing homes were strengths of the project.

Project description:Advance care planning (ACP) has been identified as particularly relevant for nursing home residents, but it remains unclear how or under what circumstances ACP works and can best be implemented in such settings. We aimed to develop a theory that outlines the hypothetical causal pathway of ACP in nursing homes, i.e. what changes are expected, by means of which processes and under what circumstances.The Theory of Change approach is a participatory method of programme design and evaluation whose underlying intention is to improve understanding of how and why a programme works. It results in a Theory of Change map that visually represents how, why and under what circumstances ACP is expected to work in nursing home settings in Belgium. Using this approach, we integrated the results of two workshops with stakeholders (n?=?27) with the results of a contextual analysis and a systematic literature review.We identified two long-term outcomes that ACP can achieve: to improve the correspondence between residents’ wishes and the care/treatment they receive and to make sure residents and their family feel involved in planning their future care and are confident their care will be according to their wishes. Besides willingness on the part of nursing home management to implement ACP and act accordingly, other necessary preconditions are identified and put in chronological order. These preconditions serve as precursors to, or requirements for, accomplishing successful ACP. Nine original key intervention components with specific rationales are identified at several levels (resident/family, staff or nursing home) to target the preconditions: selection of a trainer, ensuring engagement by management, training ACP reference persons, in-service education for healthcare staff, information for staff, general practitioners, residents and their family, ACP conversations and documentation, regular reflection sessions, multidisciplinary meetings, and formal monitoring.The Theory of Change map presented here illustrates a theory of how ACP is expected to work in order to achieve its desired long-term outcomes while highlighting organisational factors that potentially facilitate the implementation and sustainability of ACP. We provide the first comprehensive rationale of how ACP is expected to work in nursing homes, something that has been called for repeatedly.

Project description:BackgroundShared decision-making provides an approach to discuss advance care planning in a participative and informed manner, embodying the principles of person-centered care. A number of guided approaches to achieve shared decision-making already exist, such as the three-talk model. However, it is uncertain whether daily practice methods in nursing home wards for persons with dementia comply with the underpinnings of this model. It is also uncertain whether professionals consider shared decision-making to be important in this context, and whether they perceive themselves sufficiently competent to practice this approach frequently.MethodsThe study has a cross-sectional design, with 65 wards (46 Belgian nursing homes) participating in the study. We compared nursing home professionals' and residents' perspectives on the level of shared decision-making during advance care planning conversations with ratings from external raters. Residents and professionals rated the level of shared decision-making by means of a questionnaire, which included the topic of the conversation. External raters assessed audio recordings of the conversations. Professionals filled in an additional self-report questionnaire on the importance of shared decision-making, their competence in practicing the approach, and with what frequency.ResultsAt ward level, professionals and residents rated the average achieved level of shared decision-making 71.53/100 (σ = 16.09) and 81.11/100 (σ = 19.18) respectively. Meanwhile, raters gave average scores of 26.97/100 (σ = 10.45). Only 23.8% of residents referred to advance care planning as the topic of the conversation. Professionals considered shared decision-making to be important (x̄=4.48/5, σ = 0.26). This result contrasted significantly with the frequency (x̄=3.48/5, σ = 0.51) and competence (x̄=3.76/5, σ = 0.27) with which these skills were practiced (P < 0.001).ConclusionsResidents with dementia are grateful when involved in discussing their care, but find it difficult to report what is discussed during these conversations. Receiving more information about advance care planning could provide them with the knowledge needed to prepare for such a conversation. External raters observe a discrepancy between the three-talk model and daily practice methods. Training programs should focus on providing professionals with better knowledge of and skills for shared decision-making. They should also promote team-based collaboration to increase the level of person-centered care in nursing home wards for persons with dementia.

Project description:Background: As our population ages at an increasing rate, the demand for nursing homes is rising. The challenge will be for nursing homes to maintain efficiency with limited resources while not compromising quality. This study aimed to review the nursing home efficiency literature to survey the application of efficiency methods and the measurements of inputs, outputs, facility characteristics and operational environment, with a special focus on quality measurement. Methods: We systematically searched three databases for eligible studies published in English between January 1995 and December 2018, supplemented by an exhaustive search of reference lists of included studies. The studies included were available in full text, their units of analysis were nursing homes, and the analytical methods and efficiency scores were clearly reported. Results: We identified 39 studies meeting the inclusion criteria, of which 31 accounted for quality measures. Standard efficiency measurement techniques, data envelopment analysis and stochastic frontier method, and their specifications (orientation, returns to scale, functional forms and error term assumptions) were adequately applied. Measurements of inputs, outputs and control variables were relatively homogenous while quality measures varied. Notably, most studies did not include all three quality dimensions (structure, process and outcome). One study claimed to include quality of life; however, it was not a well-validated and widely used measure. The impacts of quality on efficiency estimates were mixed. The effect of quality on the ranking of nursing home efficiency was rarely reported. Conclusions: When measuring nursing home efficiency, it is crucial to adjust for quality of care and resident's quality of life because the ultimate output of nursing homes is quality-adjusted days living in the facility. Quality measures should reflect their multidimensionality and not be limited to quality of throughput (health-related events). More reliable estimation of nursing home efficiencies will require better routine data collection within the facility, where well-validated quality measures become an essential part of the minimum data requirement. It is also recommended that different efficiency methods and assumptions, and alternative measures of inputs, outputs and quality, are used for sensitivity analyses to ensure the robustness and validity of findings.

Project description:Although there is some evidence of improved quality in nursing home care after the implementation of the 1987 Omnibus Budget Reconciliation Act regulations, the nursing processes that contribute to that improvement are not well understood. Assumptions that the mandated tools for resident assessment and care planning account for the change remain uninvestigated.To generate an empirically supported conceptual model of care planning integrity, incorporating five subconstructs: coordination, integration, interdisciplinary team, restorative perspective, and quality.A correlational, model generation-model selection design guided the study. Using a random sample of 107 facilities, the research team combined primary data collected from care planning team members (n = 508) via a telephone survey, with variables extracted from the Medicaid Cost Reports and the Centers for Medicaid and Medicare Services Online Survey, Certification, and Reporting System (OSCAR) database. Primary and alternative models of care planning integrity were examined for fit to the data using structural equation modeling procedures.Using preliminary analyses, 18 observed indicators to represent the five latent subconstructs were identified. Fit indices for the primary model were borderline (comparative fit index =.892; root mean square error of approximation = .048), but were excellent for the alternative model (comparative fit index = .972; root mean square error of approximation = .026). Care planning integrity is demonstrated within nursing facilities through direct relationships with coordination, integration, and quality, and indirect relationships through integration with interdisciplinary team and restorative perspective.Care planning integrity captures differences in the way nursing facilities implement the care planning process, using the mandated standardized tools, that may make a difference in resident outcomes. Subsequent research is indicated to address those dynamics.

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Modeling efficiency at the process level: an examination of the care planning process in nursing homes.

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Modeling efficiency at the process level: an examination of the care planning process in nursing homes.

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