Implementation of large, multi-site hospital interventions: a realist evaluation of strategies for developing capability.

BACKGROUND: This study presents guidelines for implementation distilled from the findings of a realist evaluation. The setting was local health districts in New South Wales, Australia that implemented three clinical improvement initiatives as part of a state-wide program. We focussed on implementation strategies designed to develop health professionals' capability to deliver value-based care initiatives for multisite programs. Capability, which increases implementers' ability to cope with unexpected scenarios is key to managing change. METHODS: We used a mixed methods realist evaluation which tested and refined program theories elucidating the complex dynamic between context (C), mechanism (M) and outcome (O) to determine what works, for whom, under what circumstances. Data was drawn from program documents, a realist synthesis, informal discussions with implementation designers, and interviews with 10 key informants (out of 37 identified) from seven sites. Data analysis employed a retroductive approach to interrogate the causal factors identified as contributors to outcomes. RESULTS: CMO statements were refined for four initial program theories: Making it Relevant- where participation in activities was increased when targeted to the needs of the staff; Investment in Quality Improvement- where engagement in capability development was enhanced when it was valued by all levels of the organisation; Turnover and Capability Loss- where the effects of staff turnover were mitigated; and Community-Wide Priority- where there was a strategy of spanning sites. From these data five guiding principles for implementers were distilled: (1) Involve all levels of the health system to effectively implement large-scale capability development, (2) Design capability development activities in a way that supports a learning culture, (3) Plan capability development activities with staff turnover in mind, (4) Increased capability should be distributed across teams to avoid bottlenecks in workflows and the risk of losing key staff, (5) Foster cross-site collaboration to focus effort, reduce variation in practice and promote greater cohesion in patient care. CONCLUSIONS: A key implementation strategy for interventions to standardise high quality practice is development of clinical capability. We illustrate how leadership support, attention to staff turnover patterns, and making activities relevant to current issues, can lead to an emergent learning culture.

Impact of mental disorders on unplanned readmissions for congestive heart failure patients: a population-level study.

AIMS: Reducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28 day unplanned readmissions of CHF patients. METHODS AND RESULTS: This retrospective cohort study used population-level linked public and private hospitalization and death data of adults aged ≥18 years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause-specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all-cause hospital readmission. Of the 65 861 adults with index CHF admission discharged alive (mean age: 78.6 ± 12.1; 48% female), 19.2% (12 675) had at least one unplanned readmission within 28 days following discharge. Adults with CHF with a mental disorder diagnosis within 12 months had a higher risk of 28 day all-cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15-1.27, P-value < 0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35-1.65, P-value < 0.001). CHF patients aged ≥85 years (HR: 1.19, 95% CI: 1.11-1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25-1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28-1.40) or high (HR: 1.37, 95% CI: 1.27-1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68-35.73%) after considering other patient-level factors and competing events. CONCLUSIONS: CHF patients who had a mental disorder diagnosis in the past 12 months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions.

Four System Enablers of Large-System Transformation in Health Care: A Mixed Methods Realist Evaluation.

Policy Points The implementation of large-scale health care interventions relies on a shared vision, commitment to change, coordination across sites, and a spanning of siloed knowledge. Enablers of the system should include building an authorizing environment; providing relevant, meaningful, transparent, and timely data; designating and distributing leadership and decision making; and fostering the emergence of a learning culture. Attention to these four enablers can set up a positive feedback loop to foster positive change that can protect against the loss of key staff, the presence of lone disruptors, and the enervating effects of uncertainty. CONTEXT: Large-scale transformative initiatives have the potential to improve the quality, efficiency, and safety of health care. However, change is expensive, complex, and difficult to implement and sustain. This paper advances system enablers, which will help to guide large-scale transformation in health care systems. METHODS: A realist study of the implementation of a value-based health care program between 2017 and 2021 was undertaken in every public hospital (n = 221) in New South Wales (NSW), Australia. Four data sources were used to elucidate initial program theories beginning with a set of literature reviews, a program document review, and informal discussions with key stakeholders. Semistructured interviews were then conducted with 56 stakeholders to confirm, refute, or refine the theories. A retroductive analysis produced a series of context-mechanism-outcome (CMO) statements. Next, the CMOs were validated with three health care quality expert panels (n = 51). Synthesized data were interrogated to distill the overarching system enablers. FINDINGS: Forty-two CMO statements from the eight initial program theory areas were developed, refined, and validated. Four system enablers were identified: (1) build an authorizing environment; (2) provide relevant, authentic, timely, and meaningful data; (3) designate and distribute leadership and decision making; and (4) support the emergence of a learning culture. The system enablers provide a nuanced understanding of large-system transformation that illustrates when, for whom, and in what circumstances large-system transformation worked well or worked poorly. CONCLUSIONS: System enablers offer nuanced guidance for the implementation of large-scale health care interventions. The four enablers may be portable to similar contexts and provide the empirical basis for an implementation model of large-system value-based health care initiatives. With concerted application, these findings can pave the way not just for a better understanding of greater or lesser success in intervening in health care settings but ultimately to contribute higher quality, higher value, and safer care.

The role of frailty risk for fracture-related hospital readmission and mortality after a hip fracture.

BACKGROUND: Frailty risk estimated using hospital administrative data may provide a useful clinical tool to identify older hip fracture patients at-risk of fracture-related readmissions and mortality. This study examined hip fracture hospitalisation temporal trends and explore the role of frailty risk in fracture-related readmission and mortality. METHODS: This retrospective cohort study was conducted using linked hospital admission and mortality data in New South Wales, Australia. Patients aged ≥65 years were admitted after a hip fracture between 2014 and 2021 for temporal trends and those admitted and discharged after a hip fracture in 2014-2018 for fracture-related readmission. The Hospital Frailty Risk Score was estimated, and patients were followed for at least 36 months after discharge. A semi-competing risk analysis was used to examine the associations of frailty with fracture-related readmission and/or mortality. RESULTS: Hip fracture hospitalisation rate was 472 per 100,000 and declined by 2.9 % (95 % confidence intervals (CI): -3.7 to -2.1) annually. Amongst 28,567 patients, 9.8 % were identified with low frailty risk, 39.4 %, intermediate frailty risk, and 50.6 % with high frailty risk. Patients with intermediate or high frailty risk had a higher chance of fracture-related readmission (Hazard ratios (HR): 1.33, 95 %CI: 1.21-1.47, HR: 1.65, 95 %CI: 1.49-1.83), death (HR: 1.50, 95 %CI: 1.38-1.63, HR: 1.80, 95 %CI: 1.65-1.96) and death post fracture-related readmission (HR: 1.32, 95 %CI: 1.12-1.56, HR: 1.56, 95 %CI: 1.32-1.84) than those with low frailty risk. CONCLUSIONS: It appears that frailty risk estimated using hospital administrative data can contribute to identify patients who could benefit from targeted interventions to prevent further fractures.

Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms.

BACKGROUND: Unwarranted clinical variation in hospital care includes the underuse, overuse, or misuse of services. Audit and feedback is a common strategy to reduce unwarranted variation, but its effectiveness varies widely across contexts. We aimed to identify implementation strategies, mechanisms, and contextual circumstances contributing to the impact of audit and feedback on unwarranted clinical variation. METHODS: Realist study examining a state-wide value-based healthcare program implemented between 2017 and 2021 in New South Wales, Australia. Three initiatives within the program included audit and feedback to reduce unwarranted variation in inpatient care for different conditions. Multiple data sources were used to formulate the initial audit and feedback program theory: a systematic review, realist review, program document review, and informal discussions with key program stakeholders. Semi-structured interviews were then conducted with 56 participants to refute, refine, or confirm the initial program theories. Data were analysed retroductively using a context-mechanism-outcome framework for 11 transcripts which were coded into the audit and feedback program theory. The program theory was validated with three expert panels: senior health leaders (n = 19), Agency for Clinical Innovation (n = 11), and Ministry of Health (n = 21) staff. RESULTS: The program's audit and feedback implementation strategy operated through eight mechanistic processes. The strategy worked well when clinicians (1) felt ownership and buy-in, (2) could make sense of the information provided, (3) were motivated by social influence, and (4) accepted responsibility and accountability for proposed changes. The success of the strategy was constrained when the audit process led to (5) rationalising current practice instead of creating a learning opportunity, (6) perceptions of unfairness and concerns about data integrity, 7) development of improvement plans that were not followed, and (8) perceived intrusions on professional autonomy. CONCLUSIONS: Audit and feedback strategies may help reduce unwarranted clinical variation in care where there is engagement between auditors and local clinicians, meaningful audit indicators, clear improvement plans, and respect for clinical expertise. We contribute theoretical development for audit and feedback by proposing a Model for Audit and Feedback Implementation at Scale. Recommendations include limiting the number of audit indicators, involving clinical staff and local leaders in feedback, and providing opportunities for reflection.

Guiding principles for effective collaborative implementation strategies for multisite hospital improvement initiatives: a mixed-method realist evaluation of collaborative strategies used in four multisite initiatives at public hospitals in New South Wales, Australia.

OBJECTIVE: Large-scale, multisite hospital improvement initiatives can advance high-quality care for patients. Implementation support is key to adoption of change in this context. Strategies that foster collaboration within local teams, across sites and between initiative developers and users are important. However not all implementation strategies are successful in all settings, sometimes realising poor or unintended outcomes. Our objective here is to develop guiding principles for effective collaborative implementation strategies for multi-site hospital initiatives. DESIGN: Mixed-method realist evaluation. Realist studies aim to examine the underlying theories that explain differing outcomes, identifying mechanisms and contextual factors that may trigger them. SETTING: We report on collaborative strategies used in four multi-site initiatives conducted in all public hospitals in New South Wales, Australia (n>100). PARTICIPANTS: Using an iterative process, information was gathered on collaborative implementation strategies used, then initial programme theories hypothesised to underlie the strategies' outcomes were surfaced using a realist dialogic approach. A realist interview schedule was developed to elicit evidence for the posited initial programme theories. Fourteen participants from 20 key informants invited participated. Interviews were conducted via Zoom, transcribed and analysed. From these data, guiding principles of fostering collaboration were developed. RESULTS: Six guiding principles were distilled: (1) structure opportunities for collaboration across sites; (2) facilitate meetings to foster learning and problem-solving across sites; (3) broker useful long-term relationships; (4) enable support agencies to assist implementers by giving legitimacy to their efforts in the eyes of senior management; (5) consider investment in collaboration as effective well beyond the current projects; (6) promote a shared vision and build momentum for change by ensuring inclusive networks where everyone has a voice. CONCLUSION: Structuring and supporting collaboration in large-scale initiatives is a powerful implementation strategy if contexts described in the guiding principles are present.

Patient-reported experiences and outcomes following hospital care are associated with risk of readmission among adults with chronic health conditions.

This study quantifies the association between patient reported measures (PRMs) and readmission to inform efforts to improve hospital care. A retrospective, cross-sectional study was conducted with adults who had chronic obstructive pulmonary disease (COPD) or congestive heart failure (CHF) and were admitted for acute care in a public hospital in New South Wales, Australia for any reason (n = 2394 COPD and 2476 CHF patients in 2018-2020). Patient- level survey data were linked with inpatient data for one year prior to risk-adjust outcomes and after discharge to detect all cause unplanned readmission to a public or private hospital. Ninety-day readmission rates for respondents with COPD or CHF were 17% and 19%. Crude rates for adults with COPD were highest among those who reported that hospital care and treatment helped "not at all" (28%), compared to those who responded, "to some extent" (20%) or "definitely" (15%). After accounting for patient characteristics, adults with COPD or CHF who said care and treatment didn't help at all were at twice the risk of readmission compared to those who responded that care and treatment helped "definitely" (Hazard ratio for COPD 1.97, CI: 1.17-3.32; CHF 2.07, CI 1.25-3.42). Patients who offered the most unfavourable ratings of overall care, understandable explanations, organised care, or preparedness for discharge were at a 1.5 to more than two times higher risk of readmission. Respect and dignity, effective and clear communications, and timely and coordinated care also matter. PRMs are strong predictors of readmission even after accounting for risk related to age and co-morbidities. More moderate ratings were associated with attenuation of risk, and the most positive ratings were associated with the lowest readmission rate. These results suggest that increasing each patient's positive experiences progressively reduces the risk of adults with chronic conditions returning to acute care.

Selecting and Implementing Patient-Reported Outcome and Experience Measures to Assess Health System Performance.

Importance: Psychometrically robust patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are critical to evaluating quality and performance across health services and systems. However, the adoption and implementation of PROMs and PREMs remain a challenge in many countries. The aim of this guide is to support instrument selection and implementation to measure health system performance. Observations: The guide is split into 3 step-by-step sections. Step 1: Knowing What to Measure discusses what PROMs and PREMs capture and how they differ from related instruments. Step 2: Choosing the Right Instrument describes the critical psychometric properties of validity, reliability, and responsiveness, and provides resources to support instrument selection and evaluation. Step 3: Mitigating Potential PROM and PREM Implementation Barriers outlines key barriers and supports for instrument implementation at system, service, and individual levels. Conclusions and Relevance: This guide aims to provide practical resources for the identification of psychometrically robust PROMs and PREMs, as well as support for their implementation to drive improvements across health systems globally.

Association between number of replacements and readmissions following total knee and total hip replacements in New South Wales' public hospitals.

BACKGROUND: Total knee and total hip replacement are common and resource-intensive procedures. Complications are associated with worse outcomes and can add to the health care costs, particularly if associated with readmission. The aims of this study were to inform quality improvement by reporting on the extent of variation in readmissions across public hospitals and investigating the association between hospital volume and readmissions. METHODS: This retrospective population-based cohort study used linked, admitted patient data for a census of all admissions to public and private hospitals. Adults who had an acute hospitalization for total knee or total hip replacement elective surgery and were discharged alive between 1 July 2015 and 30 June 2018 were included. Hospital volumes and risk standardized readmission ratios were calculated, and readmissions included acute hospitalizations following discharge and returns to acute care from non-acute settings within 60 days. RESULTS: In 2015-2018, one in 10 patients were readmitted following total knee or total hip replacement (11.9 and 10.6 per 100 hospitalizations) an increase of 4.9% and 13.1% respectively, compared to 2012-2015. The majority of hospitals had risk standardized readmission ratios no different than expected. The median annual hospital volume was 170 total knee (interquartile range 116-247) and 93 total hip (interquartile range 61-141) procedures with no evidence of a meaningful association between hospital volume and readmissions. CONCLUSION: Readmissions rates for total knee and total hip replacements are increasing. While hospital volume varies, it was not associated with readmission after adjusting for risk factors and any non-linear association.

Disparities in experiences of emergency department care for people with a mental health condition.

BACKGROUND: The aim of this study was to explore differences in experiences of care in Emergency Departments (EDs) for people with and without mental health conditions. METHODS: Secondary analyses of a survey of 15,995 patients from 82 EDs in New South Wales, Australia was conducted focusing on the most positive responses for 53 questions across nine dimensions of experiences. Logistic regression was used to compare experiences between people with and without a self-reported mental health condition, regardless of the reason for presentation. RESULTS: Most patients reported positive experiences, with 60% rating care as 'very good'. However, fewer people with mental health conditions gave 'very good' ratings (52%). Their experiences were significantly less positive for 40 of 53 questions. For overall impressions of professionals, physical comfort, and continuity dimensions, experiences for those with mental health conditions were at least eight percentage points lower than those with no condition. Differences were minimal for other questions such as experiences with facilities (e.g. clean treatment areas). CONCLUSIONS: Regardless of the reason for their visit, improvements in experiences for people with mental health conditions should focus on interactions with healthcare professionals, comfort, engagement and continuity. Improving experiences of this group can help improve their outcomes of care.

Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments.

INTRODUCTION: Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond 'what works' towards more nuanced understanding of 'what tends to work for whom under which circumstances'. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts. METHODS AND ANALYSIS: This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context-mechanism-outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed. ETHICS AND DISSEMINATION: Ethical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings.

Avoiding unnecessary hospitalisation for patients with chronic conditions: a systematic review of implementation determinants for hospital avoidance programmes.

BACKGROUND: Studies of clinical effectiveness have demonstrated the many benefits of programmes that avoid unnecessary hospitalisations. Therefore, it is imperative to examine the factors influencing implementation of these programmes to ensure these benefits are realised across different healthcare contexts and settings. Numerous factors may act as determinants of implementation success or failure (facilitators and barriers), by either obstructing or enabling changes in healthcare delivery. Understanding the relationships between these determinants is needed to design and tailor strategies that integrate effective programmes into routine practice. Our aims were to describe the implementation determinants for hospital avoidance programmes for people with chronic conditions and the relationships between these determinants. METHODS: An electronic search of four databases was conducted from inception to October 2019, supplemented by snowballing for additional articles. Data were extracted using a structured data extraction tool and risk of bias assessed using the Hawker Tool. Thematic synthesis was undertaken to identify determinants of implementation success or failure for hospital avoidance programmes for people with chronic conditions, which were categorised according to the Consolidated Framework for Implementation Research (CFIR). The relationships between these determinants were also mapped. RESULTS: The initial search returned 3537 articles after duplicates were removed. After title and abstract screening, 123 articles underwent full-text review. Thirteen articles (14 studies) met the inclusion criteria. Thematic synthesis yielded 23 determinants of implementation across the five CFIR domains. 'Availability of resources', 'compatibility and fit', and 'engagement of interprofessional team' emerged as the most prominent determinants across the included studies. The most interconnected implementation determinants were the 'compatibility and fit' of interventions and 'leadership influence' factors. CONCLUSIONS: Evidence is emerging for how chronic condition hospital avoidance programmes can be successfully implemented and scaled across different settings and contexts. This review provides a summary of key implementation determinants and their relationships. We propose a hypothesised causal loop diagram to represent the relationship between determinants within a complex adaptive system. TRIAL REGISTRATION: PROSPERO 162812.

Reliability and validity of the DSM-IV-TR and proposed DSM-5 criteria for pedophilia: Implications for the ICD-11 and the next DSM.

We tested the inter-rater reliability and criterion-related validity of the DSM-IV-TR pedophilia diagnosis and proposed DSM-5 pedohebephilia diagnosis in a sample of 79 men who had committed child pornography offenses, contact sexual offenses against children, or who were referred because of concerns about whether they had a sexual interest in children. Participants were evaluated by two independent psychiatrists with an interview and questionnaire regarding demographic characteristics, sexual history, and self-reported sexual interests; they also completed phallometric and visual reaction time testing. Kappa was .59 for ever meeting DSM-IV-TR criteria for pedophilia and .52 for ever meeting the proposed DSM-5 criteria for pedohebephilia. Ever meeting DSM-IV-TR diagnosis was significantly related to self-reported index of sexual interest in children (highest AUC=.81, 95% CI=.70-.91, p<.001) and to indices of sexual interest in children from phallometric testing (AUC=.70; 95% CI=.52-.89; p<.05) or a computerized assessment based on visual reaction time and self-report (AUC=.75; 95% CI=.62-.88; p<.005). Ever meeting the proposed DSM-5 "diagnosis" was similarly related to self-report (AUC=.84, 95% CI=.74-.94, p<.001) and to the two objective indices, with AUCs of .69 (95% CI=.53-.85; p<.05) and .77 (95% CI=.64-.89; p<.001), respectively. Because the pDSM-5 criteria did not produce significantly better reliability or validity results and users are more familiar with the current DSM-5 criteria, we believe these results suggest the revision of DSM-5 and development of ICD-11 could benefit from drawing on the current DSM-5 criteria, which are essentially the same as DSM-IV-TR except for a distinction between having a paraphilia (the interest) and a paraphilic disorder (the paraphilia plus clinically significant distress or impairment).

The stuck catheter: a hazardous twist to the meaning of permanent catheters.

INTRODUCTION: Permanent central venous catheter use is associated with significant complications that often require their timely removal. An uncommon complication is resistant removal of the catheter due to adherence of the catheter to the vessel wall. This occasionally mandates invasive interventions for removal. The aim of this study is to describe the occurrence of this "stuck catheter" phenomenon and its consequences. METHODS: A retrospective review of all the removed tunneled hemodialysis catheters from July 2005 to December 2014 at a single academic-based hemodialysis center to determine the incidence of stuck catheters. Data were retrieved from a prospectively maintained computerized vascular access database and verified manually against patient charts. RESULTS: In our retrospective review of tunneled hemodialysis catheters spanning close to a decade, we found that 19 (0.92%) of catheters were retained, requiring endovascular intervention or open sternotomy. Of these, three could not be removed, with one patient succumbing to catheter-related infection. Longer catheter vintage appeared to be associated with 'stuck catheter'. CONCLUSIONS: Retention of tunneled central venous catheters is a rare but important complication of prolonged tunneled catheter use that nephrologists should be aware of. Endoluminal balloon dilatation procedures are the initial approach, but surgical intervention may be necessary.

Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia.

OBJECTIVES: To investigate the nature and potential implications of under-reporting of morbidity information in administrative hospital data. SETTING AND PARTICIPANTS: Retrospective analysis of linked self-report and administrative hospital data for 32,832 participants in the large-scale cohort study (45 and Up Study), who joined the study from 2006 to 2009 and who were admitted to 313 hospitals in New South Wales, Australia, for at least an overnight stay, up to a year prior to study entry. OUTCOME MEASURES: Agreement between self-report and recording of six morbidities in administrative hospital data, and between-hospital variation and predictors of positive agreement between the two data sources. RESULTS: Agreement between data sources was good for diabetes (κ=0.79); moderate for smoking (κ=0.59); fair for heart disease, stroke and hypertension (κ=0.40, κ=0.30 and κ =0.24, respectively); and poor for obesity (κ=0.09), indicating that a large number of individuals with self-reported morbidities did not have a corresponding diagnosis coded in their hospital records. Significant between-hospital variation was found (ranging from 8% of unexplained variation for diabetes to 22% for heart disease), with higher agreement in public and large hospitals, and hospitals with greater depth of coding. CONCLUSIONS: The recording of six common health conditions in administrative hospital data is highly variable, and for some conditions, very poor. To support more valid performance comparisons, it is important to stratify or control for factors that predict the completeness of recording, including hospital depth of coding and hospital type (public/private), and to increase efforts to standardise recording across hospitals. Studies using these conditions for risk adjustment should also be cautious of their use in smaller hospitals.

Use of a synthetic cannabinoid in a correctional population for posttraumatic stress disorder-related insomnia and nightmares, chronic pain, harm reduction, and other indications: a retrospective evaluation.

Nabilone is a synthetic cannabinoid that has shown promise for the treatment of posttraumatic stress disorder (PTSD)-related insomnia and nightmares as well as efficacy in the management of chronic pain. It has also been proposed for harm reduction in cannabis dependence. Its effectiveness for management of concurrent disorders in seriously mentally ill correctional populations has not been evaluated. This retrospective study of 104 male inmates with serious mental illness prescribed nabilone analyzes the indications, efficacy, and safety of its use. Medications discontinued with the initiation of nabilone were also reviewed. The results showed nabilone targeting a mean of 3.5 indications per patient, thus likely reducing polypharmacy risk. The mean final dosage was 4.0 mg. Results indicated significant improvement in PTSD-associated insomnia, nightmares, PTSD symptoms, and Global Assessment of Functioning and subjective improvement in chronic pain. Medications associated with greater risk for adverse effects or abuse than nabilone were often able to be discontinued with the initiation of nabilone, most often antipsychotics and sedative/hypnotics. There was no evidence of abuse within this high-risk population or reduction of efficacy when nabilone was given in powder form with water rather than as a capsule. This study supports the promise of nabilone as a safe, effective treatment for concurrent disorders in seriously mentally ill correctional populations. Prospective, randomized controlled trials are required to confirm our preliminary results. Follow-up in the community will be required to confirm effectiveness in harm reduction.

Attitudes and perceptions of nephrology nurses towards dialysis modality selection: a survey study.

BACKGROUND: There is a paucity of information about the views of dialysis nurses towards dialysis modality selection, yet nurses often have the most direct contact time with patients. We conducted a survey to better understand nurses' attitudes and perceptions, and hypothesized that nurses with different areas of expertise would have differences in opinions. METHODS: We administered an electronic survey to all dialysis/predialysis nurses (n = 129) at a large, tertiary care center. The survey included questions about preferred therapy - in-center hemodialysis (CHD), versus home dialysis (home hemodialysis and peritoneal dialysis) and ideal modality mix. Responses were compared between nurses with home dialysis and CHD experience. RESULTS: The survey response rate was 69%. Both nursing groups ranked patient caregivers and dialysis nurses as having the least impact on patient modality selection. For most patient characteristics (including age > 70 years and presence of multiple chronic illnesses), CHD nurses felt that CHD was somewhat or strongly preferred, while home dialysis nurses preferred a home modality (p < 0.001 for all characteristics studied). Similar differences in responses were noted for patient/system factors such as patient survival, cost to patients and nursing job security. Compared to CHD nurses, a higher proportion of home dialysis nurses felt that CHD was over-utilized (85% versus 58%, p = 0.024). CONCLUSION: Dialysis nurses have prevailing views about modality selection that are strongly determined by their area of experience and expertise.