Minimisation of dialysis risk in hospital patients with chronic kidney disease (MinDial): study protocol for a multicentre, stepped-wedge, cluster-randomised controlled trial.

BACKGROUND: Early identification of patients with chronic kidney disease (CKD) and advancing kidney insufficiency, followed by specialist care, can decelerate the progression of the disease. However, awareness of the importance and possible consequences of kidney insufficiency is low among doctors and patients. Since kidney insufficiency can be asymptomatic even in higher stages, it is often not even known to those belonging to risk groups. This study aims to clarify whether, for hospitalised patients with advanced chronic kidney disease, a risk-based appointment with a nephrology specialist reduces disease progression. METHODS: The target population of the study is hospitalised CKD patients with an increased risk of end-stage renal disease (ESRD), more specifically with an ESRD risk of at least 9% in the next 5 years. This risk is estimated by the internationally validated Kidney Failure Risk Equation (KFRE). The intervention consists of a specific appointment with a nephrology specialist after the hospital stay, while control patients are discharged from the hospital as usual. Eight medical centres include participants according to a stepped-wedge design, with randomised sequential centre-wise crossover from recruiting patients into the control group to recruitment to the intervention. The estimated glomerular filtration rate (eGFR) is measured for each patient during the hospital stay and after 12 months within the regular care by the general practitioner. The difference in the change of the eGFR over this period is compared between the intervention and control groups and considered the primary endpoint. DISCUSSION: This study is designed to evaluate the effect of risk-based appointments with nephrology specialists for hospitalised CKD patients with an increased risk of end-stage renal disease. If the intervention is proven to be beneficial, it may be implemented in routine care. Limitations will be examined and discussed. The evaluation will include further endpoints such as non-guideline-compliant medication, economic considerations and interviews with contributing physicians to assess the acceptance and feasibility of the intervention. TRIAL REGISTRATION: German Clinical Trials Register DRKS00029691 . Registered on 12 September 2022.

Access to New Clinic Appointments for Patients With Cancer.

Importance: Racial and ethnic disparities have been observed in the outpatient visit rates for specialist care, including cancer care; however, little is known about patients' experience at the critical step of attempting to access new clinic appointments for cancer care. Objective: To determine simulated English-speaking, Spanish-speaking, and Mandarin-speaking patient callers' ability to access new clinic appointments for 3 cancer types (colon, lung, and thyroid cancer) that disproportionately impact Hispanic and Asian populations. Design, Setting, and Participants: This cross-sectional audit study was conducted between November 2021 and March 2023 using 479 clinic telephone numbers that were provided by the hospital general information personnel at 143 hospitals located across 12 US states. Using standardized scripts, trained research personnel assigned to the roles of English-speaking, Spanish-speaking, and Mandarin-speaking patients called the telephone number for a clinic that treats colon, lung, or thyroid cancer to inquire about a new clinic appointment. Data analysis was conducted from June to September 2023. Main Outcomes and Measures: The primary outcome was whether the simulated patient caller was able to access cancer care (binary variable, yes or no), which was defined to include being provided with a clinic appointment date or scheduling information. Multivariable logistic regression analysis was performed to determine factors independently associated with simulated patient callers being able to access cancer care. Results: Of 985 total calls (399 English calls; 302 Spanish calls; 284 Mandarin calls), simulated patient callers accessed cancer care in 409 calls (41.5%). Differences were observed based on language type, with simulated English-speaking patient callers significantly more likely to access cancer care compared with simulated Spanish-speaking and Mandarin-speaking patient callers (English, 245 calls [61.4%]; Spanish, 110 calls [36.4%]; Mandarin, 54 calls [19.0%]; P < .001). A substantial number of calls ended due to linguistic barriers (291 of 586 Spanish or Mandarin calls [49.7%]) and workflow barriers (239 of 985 calls [24.3%]). Compared with English-speaking simulated patient callers, the odds of accessing cancer care were lower for Spanish-speaking simulated patient callers (adjusted odds ratio [aOR], 0.34; 95% CI, 0.25-0.46) and Mandarin-speaking simulated patient callers (aOR, 0.13; 95% CI, 0.09-0.19). Compared with contacting clinics affiliated with teaching hospitals, callers had lower odds of accessing cancer care when contacting clinics that were affiliated with nonteaching hospitals (aOR, 0.53; 95% CI, 0.40-0.70). Conclusions and Relevance: In this cross-sectional audit study, simulated patient callers encountered substantial barriers when attempting to access clinic appointments for cancer care. These findings suggest that interventions focused on mitigating these barriers are necessary to increase access to cancer care for all patients.

Understanding the causes of missingness in primary care: a realist review.

BACKGROUND: Although missed appointments in healthcare have been an area of concern for policy, practice and research, the primary focus has been on reducing single 'situational' missed appointments to the benefit of services. Little attention has been paid to the causes and consequences of more 'enduring' multiple missed appointments in primary care and the role this has in producing health inequalities. METHODS: We conducted a realist review of the literature on multiple missed appointments to identify the causes of 'missingness.' We searched multiple databases, carried out iterative citation-tracking on key papers on the topic of missed appointments and identified papers through searches of grey literature. We synthesised evidence from 197 papers, drawing on the theoretical frameworks of candidacy and fundamental causation. RESULTS: Missingness is caused by an overlapping set of complex factors, including patients not identifying a need for an appointment or feeling it is 'for them'; appointments as sites of poor communication, power imbalance and relational threat; patients being exposed to competing demands, priorities and urgencies; issues of travel and mobility; and an absence of choice or flexibility in when, where and with whom appointments take place. CONCLUSIONS: Interventions to address missingness at policy and practice levels should be theoretically informed, tailored to patients experiencing missingness and their identified needs and barriers; be cognisant of causal domains at multiple levels and address as many as practical; and be designed to increase safety for those seeking care.

Identifying barriers to outpatient appointment attendance in patient groups at risk of inequity: a mixed methods study in a London NHS trust.

BACKGROUND: There is significant health inequity in the United Kingdom (U.K.), with different populations facing challenges accessing health services, which can impact health outcomes. At one London National Health Service (NHS) Trust, data showed that patients from deprived areas and minority ethnic groups had a higher likelihood of missing their first outpatient appointment. This study's objectives were to understand barriers to specific patient populations attending first outpatient appointments, explore systemic factors and assess appointment awareness. METHODS: Five high-volume specialties identified as having inequitable access based on ethnicity and deprivation were selected as the study setting. Mixed methods were employed to understand barriers to outpatient attendance, including qualitative semi-structured interviews with patients and staff, observations of staff workflows and interrogation of quantitative data on appointment communication. To identify barriers, semi-structured interviews were conducted with patients who missed their appointment and were from a minority ethnic group or deprived area. Staff interviews and observations were carried out to further understand attendance barriers. Patient interview data were analysed using inductive thematic analysis to create a thematic framework and triangulated with staff data. Subthemes were mapped onto a behavioural science framework highlighting behaviours that could be targeted. Quantitative data from patient interviews were analysed to assess appointment awareness and communication. RESULTS: Twenty-six patients and 11 staff were interviewed, with four staff observed. Seven themes were identified as barriers - communication factors, communication methods, healthcare system, system errors, transport, appointment, and personal factors. Knowledge about appointments was an important identified behaviour, supported by eight out of 26 patients answering that they were unaware of their missed appointment. Environmental context and resources were other strongly represented behavioural factors, highlighting systemic barriers that prevent attendance. CONCLUSION: This study showed the barriers preventing patients from minority ethnic groups or living in deprived areas from attending their outpatient appointment. These barriers included communication factors, communication methods, healthcare the system, system errors, transport, appointment, and personal factors. Healthcare services should acknowledge this and work with public members from these communities to co-design solutions supporting attendance. Our work provides a basis for future intervention design, informed by behavioural science and community involvement.

An examination of the usefulness of a quantitative appraisal method in nursing human resource management in primary hospital operating rooms: An example of integrated collaborative scheduling.

In recent years, China medical and health services have made great development. However, the management of nursing human resources in operating room of primary hospitals still faces a series of challenges. In the nursing work of operating room, high-quality nursing human resource management is important for improving the efficiency of operating room and ensuring the safety of patients. From January 2022 to December 2022, comprehensive collaborative scheduling and quantitative scoring evaluation methods were carried out in our hospital, and relevant data were collected. The flexible scheduling combined quantitative scoring performance appraisal system and the traditional scheduling plus average distribution performance appraisal system were statistically analyzed and compared in terms of annual surgical cases, annual overtime hours, annual back work hours, annual compensatory rest hours, and average daily working hours. This study was based on 30 medical staff (27 females and 3 males) in the operating room of a primary hospital. The annual operation volume increased by 387 cases compared with before, and the attitudes of patients to the service attitude and preoperative waiting time were significantly improved, reaching more than 95%. In addition, in the survey of surgeons, it was found that their satisfaction with preoperative preparation and operation time was significantly higher than that of the traditional scheduling method, and reached more than 95%. In the survey of nursing staff, it was found that the satisfaction with the traditional scheduling method was about 80%, and the satisfaction directly reached 100% after the comprehensive collaborative scheduling system. Based on the above survey, the satisfaction of nurses, doctors and patients with the new comprehensive collaborative scheduling system has improved compared with before. After the implementation of the comprehensive collaborative scheduling system, the annual surgical volume has increased significantly, and the average daily working hours of nursing staff have decreased. Comprehensive collaborative scheduling is an effective method of nursing human resource management in operating room, which can effectively improve the work efficiency of nurses and the satisfaction of patients, doctors and nurses. In practice, this method needs to be continuously explored and refined to adapt to different application scenarios and requirements.

Telehealth Visits have Lower Non-attendance than Traditional Orthopaedic Clinic Visits.

The use of telemedicine has rapidly expanded in the wake of the COVID pandemic, but its effect on patient attendance remains unknown for different clinicians. This study compared traditional in-clinic visits with telehealth visits by retrospectively reviewing all scheduled orthopaedic clinic visits. Results demonstrated lower rates of cancellations in patients scheduled for telehealth visits as compared to in-clinic visits, during the initial COVID pandemic. In general, physicians can expect a lower cancellation rate than non-physician practitioners.

Increasing access to cataract surgery in Counties Manukau by optimising the clinical pathway: a quality improvement report.

AIM: To streamline the cataract surgery pathway to improve the time from first specialist assessment (FSA) to surgery, while reducing the clinical priority assessment criteria (CPAC) score from 55 to 50. METHOD: A quality improvement project using Lean Six Sigma tools and the Model for Improvement. Most data were collected from the i.Patient Manager (iPM) system and analysed using statistical process control charts. Change interventions included combining FSA and pre-admission clinics (PAC); post-operative telephone review by non senior medical officers (SMO); and using our own surgeons in private theatres. RESULTS: The standard cataract pathway was reduced from 5 to 3 appointments. This removed 1,514 hours of appointments, released 113 SMO hours and saved patients NZ$156,000 in indirect costs over a year. The average waiting time from FSA to surgery decreased from 90 to 77 days (-13.5%). The number of overdue patients reduced from 127 to 44 (-35%). The average number of patients on the FSA waiting list dropped from 322 to 205 (-40%). There was no change to the proportions of surgeries or appointment attendance rates by ethnicity. Average monthly cataract surgeries increased from 192 to 215 (+12%), and the CPAC score threshold was decreased to 50 in February 2021. CONCLUSION: Despite significant demand pressures, and the disruptions of COVID-19, we were able to reduce the CPAC score for accessing cataract surgery by optimising the clinical pathway to better utilise staff capacity and maximise value for patients.

Team-Based Approach to Successful Annual Wellness Visits.

OBJECTIVE: The purpose of this study was to implement a 2-phase approach to rapidly increase the number of annual wellness visits (AWVs) and build a sustainable model at 3 study units (Mayo Clinic in Rochester, Minnesota, and clinics in 2 regions of Mayo Clinic Health System), which collectively serve approximately 80 000 patients who qualify for an AWV annually. METHODS: In the rapid improvement phase, beginning in July 2022, goals at the facilities were reoriented to prioritize AWVs, educate staff on existing AWV resources, and create low-effort workflows so that AWVs could be incorporated into existing patient appointments. Staff at all 3 study units worked independently and iterated quickly. In the second phase, all study units collaborated to design and implement a best-practice solution while they leveraged the engagement and lessons learned from the first phase and invested in additional system elements and change management to codify long-term success. RESULTS: The number of AWVs completed monthly increased in each study unit. In the rapid improvement phase, the number of AWVs increased but then plateaued (or decreased at some study units). In April 2023, the final scheduled outreach automation and visit tools were implemented, and the number of AWVs was sustained or increased, while outreach and scheduling times were decreased. The number of completed AWVs increased from 1148 across all study units in the first 6 months of 2022 to 14 061 during the first 6 months of 2023. CONCLUSIONS: The lessons learned from this project can be applied to other health systems that want to provide more patients with AWVs while improving operational efficiency. The keys are to have a clear vision of a successful outcome, engage all stakeholders, and iterate quickly to find what works best for the organization.

[«Digital Postcovid Syndrome¼ - possibilities and limits in digital communication with neurological patients]. / «Digitales Postcovid-Syndrom¼ ­ Möglichkeiten und Grenzen in der digitalisierten Kommunikation mit neurologischen Patienten.

INTRODUCTION: Background: This work deals with the question of which digital touchpoints in the course of a patient journey are desired by neurological patients, important for effective treatment and easy to implement. Methodology: 100 (44 men, 56 women) patients in a neurological practice at three different locations were examined using a written questionnaire with closed questions on topics of online booking, making appointments and reminders via SMS, video consultation with the doctor and chat with the doctor or the medical practice assistant. Results: It was shown that the older a person is, the less they prefer digital booking and consultation and that the more they work, the more they prefer digital booking and consultation and the longer they live in Switzerland, the less they prefer chat advice. Data protection plays a more important role in older patients. Regarding gender no significant differences can be shown. Discussion: The results are in line with a survey conducted by the Swiss Medical Association (Foederatio Medicorum Helveticorum) of 2020, which shows that the population wants to relieve the burden on doctors in administrative tasks through the use of digital solutions considered desirable. In this study, both younger and older patients are very interested in booking appointments online and to receive an appointment reminder via text message. Since older patients tend to prefer conservative booking, a «hybrid model¼ should be offered so that both options are available.

Effectiveness of patient reminders on influenza vaccination coverage among adults with chronic conditions: A feasibility study in Australian general practices.

BACKGROUND: Influenza vaccination is recommended for Australians 18+ years old with medical risk factors, but coverage is suboptimal. We aimed to examine whether automatic, opportunistic patient reminders (SMS and/or printed) before appointments with a general practitioner increased influenza vaccination uptake. METHODS: This clustered non-randomised feasibility study in Australian general practice included patients aged 18-64 years with at least one medical risk factor attending participating practices between May and September 2021. Software installed at intervention practices identified unvaccinated eligible patients when they booked an appointment, sent vaccination reminders (SMS on booking and 1 h before appointments), and printed automatic reminders on arrival. Control practices provided usual care. Clustered analyses adjusted for sociodemographic differences among practices were performed using logistic regression. RESULTS: A total of 12,786 at-risk adults attended 16 intervention practices (received reminders = 4066; 'internal control' receiving usual care = 8720), and 5082 individuals attended eight control practices. Baseline influenza vaccination uptake (2020) was similar in intervention and control practices (∼34%). After the intervention, uptake was similar in all groups (control practices = 29.3%; internal control = 30.0%; intervention = 31.6% (p-value = 0.203). However, SMS 1 h before appointments increased vaccination coverage (39.3%, adjusted OR = 1.65; 95%CI 1.20;2.27; number necessary to treat = 13), especially when combined with other reminder forms. That effect was more evident among adults with chronic respiratory, rheumatologic, or inflammatory bowel disease. CONCLUSION: These findings indicate that automated SMS reminders delivered at proximate times to appointments are a low-cost strategy to increase influenza vaccination among adults at higher risk of severe disease attending Australian general practices.

Referral Process Enhancement: Innovative Approaches and Best Practices.

OBJECTIVE: This study aimed to enhance the efficiency of the referral system at the Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) in Muscat, Oman by reducing the average time for new patients' acceptance and the delay between patient acceptance and their first appointment. METHODS: A one-group pretest-posttest quasi-experimental project was conducted from Quarter 2 of 2022 to Quarter 2 of 2023. Data collected during the pretest and posttest phases were compared to evaluate the impact of interventions on the average days for patient acceptance and the time to first appointment after acceptance. The intervention involved developing a comprehensive referral system incorporating technology development, improved accessibility, orientation materials, internal training, policy formulation, criteria definition, and tailoring acceptance criteria to specialty programs. Awareness campaigns were also conducted to educate patients about the referral process and available transportation options. The project followed the FOCUS PDCA (Find, Organize, Clarify, Understand, Select, Plan, Do, Check, Act) approach for implementation. RESULT: Significant improvements were observed in the oncology referral process, with the average days for patient acceptance decreasing from 4.3 days to 1.3 days post-implementation. Statistical analysis confirmed the significance of this change (F-value = 46.25, p < .0001). Similarly, the average days to first visit appointment after acceptance decreased from 8.6 days to 4.0 days, with statistical support (F-value = 6.29, p < .0). CONCLUSION: This study represents a significant advancement in optimizing the oncology referral process. When considered in conjunction with previous research findings, it underscores the importance of ongoing efforts to enhance efficiency in patient referrals.

Revolutionizing Schedules: The Power of AI in Physician Practices.

Since the early 2000s, artificial intelligence (AI) has raised concerns regarding its use in healthcare to manage vast amounts of patient data, ensure proper handling, and maintain robust security measures. Nevertheless, contemporary healthcare organizations are exploring ways AI can safely enhance operational efficiency and support their patient populations. Successful, evidence-based utilization relies on a well-defined ambulatory strategy, and operational efficiency must be foundational to that strategy. Patient no-shows and appointment compliance, especially in the context of social determinants of health such as access, present inherent obstacles to patient and provider satisfaction, continuity of care, practice productivity, and the financial sustainability of an organization. To address these obstacles, Berkeley Research Group has been working with Phoebe Physician Group. Their shared objective is twofold: enhance patient encounter volume and the associated revenue. This article provides insights into the steps taken to integrate AI and machine learning to mitigate the problem of no-shows by automatically double-booking appointments for patients with a high probability of not showing up. A glimpse into the outcomes achieved and lessons learned throughout the process also is presented.

Determining pre-procedure fasting alert time using procedural and scheduling data.

Before a medical procedure requiring anesthesia, patients are required to not eat or drink non-clear fluids for 6 h and not drink clear fluids for 2 h. Fasting durations in standard practice far exceed these minimum thresholds due to uncertainties in procedure start time. The aim of this retrospective, observational study was to compare fasting durations arising from standard practice with different approaches for calculating the timepoint at which patients are instructed to stop eating and drinking. Scheduling data for procedures performed in the cardiac catheterization laboratory of an academic hospital in Canada (January 2020 to April 2022) were used. Four approaches utilizing machine learning (ML) and simulation were used to predict procedure start times and calculate when patients should be instructed to start fasting. Median fasting duration for standard practice was 10.08 h (IQR 3.5) for both food and clear fluids intake. The best performing alternative approach, using tree-based ML models to predict procedure start time, reduced median fasting from food/non-clear fluids to 7.7 h (IQR 2) and clear liquids fasting to 3.7 h (IQR 2.4). 97.3% met the minimum fasting duration requirements (95% CI 96.9% to 97.6%). Further studies are required to determine the effectiveness of operationalizing this approach as an automated fasting alert system.