Quality Of Hospital Care Research Articles

The impact of professional midwives and mentoring on the quality and availability of maternity care in government sub-district hospitals in Bangladesh: a mixed-methods observational study

BackgroundThis study compared government sub-district hospitals in Bangladesh without globally standard midwives, with those with recently introduced midwives, both with and without facility mentoring, to see if the introduction of midwives was associated with improved quality and availability of maternity care. In addition, it analysed the experiences of the newly deployed midwives and the maternity staff and managers that they joined.MethodsThis was a mixed-methods observational study. The six busiest hospitals from three pre-existing groups of government sub-district hospitals were studied; those with no midwives, those with midwives, and those with midwives and mentoring. For the quantitative component, observations of facility readiness (n = 18), and eight quality maternity care practices (n = 641) were carried out using three separate tools. Willing maternity staff (n = 237) also completed a survey on their knowledge, perceptions, and use of the maternity care interventions. Descriptive statistics and logistic regression were used to identify differences between the hospital types. The qualitative component comprised six focus groups and 18 interviews involving midwives, other maternity staff, and managers from the three hospital types. Data were analysed using an inductive cyclical process of immersion and iteration to draw out themes. The quantitative and qualitative methods complemented each other and were used synergistically to identify the study’s insights.ResultsQuantitative analysis found that, of the eight quality practices, hospitals with midwives but no mentors were significantly more likely than hospitals without midwives to use three: upright labour (94% vs. 63%; OR = 22.57, p = 0.001), delayed cord clamping (88% vs. 11%; OR = 140.67, p < 0.001), skin-to-skin (94% vs. 13%; OR = 91.21, p < 0.001). Hospitals with mentors were significantly more likely to use five: ANC card (84% vs. 52%; OR = 3.29, p = 0.002), partograph (97% vs. 14%; OR = 309.42, p = 0.002), upright positioning for labour (95% vs. 63%; OR = 1850, p < 0.001), delayed cord clamping (98% vs. 11%; OR = 3400, p = 0.003), and skin-to-skin contact following birth (93% vs. 13%; OR = 70.89, p < 0.001) Qualitative analysis identified overall acceptance of midwives and the transition to improved quality care; this was stronger with facility mentoring. The most resistance to quality care was expressed in facilities without midwives. In facilities with midwives and mentoring, midwives felt proud, and maternity staff conveyed the greatest acceptance of midwives.ConclusionFacilities with professional midwives had better availability and quality of maternity care across multiple components of the health system. Care quality further improved with facility mentors who created enabling environments, and facilitated supportive relationships between existing maternity staff and managers and the newly deployed midwives.

Rural-Urban Disparities in Quality of Inpatient Psychiatric Care.

Rural residents have higher rates of serious mental illness than urban residents, but little is known about the quality of inpatient psychiatric care available to them locally or how quality may have changed in response to federal initiatives. This study aimed to examine differences and changes in the quality of inpatient psychiatric care in rural and urban hospitals. This national retrospective study of 1,644 facilities examined facility-level annual quality-of-care data from the Inpatient Psychiatric Facility Quality Reporting program, 2015-2019. Facility location was categorized as urban, large rural, or small or isolated rural on the basis of zip code-level rural-urban commuting area codes. Generalized regression models were used to assess rural-urban differences in care quality (five continuity-of-care and two patient experience measures) and changes over time. Rural inpatient psychiatric units performed better than urban units in nearly all domains. Improvements in quality of care (excluding follow-up care) were similar in rural and urban units. Rates of 30- and 7-day postdischarge follow-up care decreased in all hospitals but faster in rural units. Timely transmission of transition records was more frequent in small or isolated rural versus urban units (mean marginal difference=22.5, 95% CI=6.3-38.8). Physical restraint or seclusion use was less likely in rural than in urban units (OR=0.6, 95% CI=0.5-0.8). Rural psychiatric units had better care quality at baseline (better follow-up care, better timely transmission of transition records, and lower rates of physical restraint use) than urban units, but during 2015-2019, follow-up care performance decreased overall and more in rural than urban units.

Does hospital location matter? Association of neighborhood socioeconomic disadvantage with hospital quality in US metropolitan settings.

An aspect of a hospital's location, such as its degree of socioeconomic disadvantage, could potentially affect quality ratings of the hospital; yet, few studies have granularly explored this relationship in United States (US) metropolitan areas characterized by a wide breadth of socioeconomic disparities across neighborhoods. An understanding of the effect of neighborhood socioeconomic disadvantage on hospital quality of care is informative for targeting resources in poor neighborhoods. We assessed the association of neighborhood socioeconomic disadvantage with hospital quality of care across several areas of quality (including mortality, readmission, safety, patient experience, effectiveness of care, summary and overall star rating) in US metropolitan areas. Hospitals in the most disadvantaged neighborhoods, compared to hospitals in the least disadvantaged neighborhoods, had worse mortality scores, readmission scores, safety of care scores, patient experience of care scores, effectiveness of care scores, summary scores and overall star rating. Timeliness of care and efficient use of imaging scores were not strongly associated with neighborhood socioeconomic disadvantage; although, future studies are needed to validate this finding. Policymakers could target innovative strategies for improving neighborhood socioeconomic conditions in more disadvantaged areas, as this may improve hospital quality.

3.N. Workshop: IMAgiNE EURO: Quality of maternity care in the WHO European Region during the COVID-19 pandemic

Abstract From 2020 the COVID-19 pandemic has deeply affected maternal and neonatal care. The implementation of governmental policy responses to limit the spread of the disease and the development of new hospital protocols have forced healthcare workers and women alike to adapt. The perception of the quality of hospital care by both groups has been at the core of the IMAgiNE EURO project, led by the WHO Collaborating Center for Maternal and Child Health (Trieste, IT). With a network of 18 countries and more than 40 institutions, this collaborative project has gathered so far data from more than 50 000 births and 5000 health workers, through two validated online surveys. It allows monitoring the quality of maternal and newborn care in four domains: the three domains of the WHO Standards for improving quality of maternal and newborn care in health facilities (namely provision of care, experience of care, and availability of human and essential physical resources) and the additional domain of key organisational changes related to the COVID-19 pandemic. Following multi-country analyses, and analyses at the regional and national level, the project findings show major gaps in the perceived quality of maternal and neonatal care in hospitals during the pandemic, as well as large variations in practices across different countries of the WHO European Region. In this workshop, Dr. Emanuelle Valente (WHO Collaborating Center for Maternal and Child Health, Trieste, IT) first introduces the methodological development of the project and the two validated data collection instruments. Dr. Marzia Lazzerini (WHO Collaborating Center for Maternal and Child Health, Trieste, IT) then presents the main results of the women's questionnaire for all countries. The focus will be on the Quality of Maternal and Newborn Care Index (QMNC Index) and how the different countries perform with regard to the four above-mentioned dimensions. Then, we carry on with two presentations focusing on specific topics relevant to maternity and newborn care. Dr. Ilana Chertock (College of Health Sciences and Professions, Ohio University, Athens, Ohio, USA) and Dr. Rada Artzi-Medvedik (Ben-Gurion University, Beersheva, Israel) will present findings on the factors influencing exclusive breastfeeding in healthcare facilities during the pandemic. Dr. Céline Miani (Institute of Public Health, Bielefeld University, Bielefeld, Germany) will discuss the topic of medicalisation, looking at the potential associations between individual and country-level factors and medicalisation of birth. We will conclude the workshop with a panel discussion on the implications of our research for policies and practice, and examples of the first steps already taken to bridge the gap between monitoring and implementation. Key messages • This workshop will present two new, validated tools to monitor the quality of maternal and newborn care in WHO European Region, from the perspective of the women and of the healthcare providers. • It will also provide an overview of key findings so far, highlighting inequalities and gaps in the quality of maternal and neonatal care at hospital level in the WHO European Region.

Improving in-patient neonatal data quality as a pre-requisite for monitoring and improving quality of care at scale: A multisite retrospective cohort study in Kenya.

The objectives of this study were to (1)explore the quality of clinical data generated from hospitals providing in-patient neonatal care participating in a clinical information network (CIN) and whether data improved over time, and if data are adequate, (2)characterise accuracy of prescribing for basic treatments provided to neonatal in-patients over time. This was a retrospective cohort study involving neonates ≤28 days admitted between January 2018 and December 2021 in 20 government hospitals with an interquartile range of annual neonatal inpatient admissions between 550 and 1640 in Kenya. These hospitals participated in routine audit and feedback processes on quality of documentation and care over the study period. The study's outcomes were the number of patients as a proportion of all eligible patients over time with (1)complete domain-specific documentation scores, and (2)accurate domain-specific treatment prescription scores at admission, reported as incidence rate ratios. 80,060 neonatal admissions were eligible for inclusion. Upon joining CIN, documentation scores in the monitoring, other physical examination and bedside testing, discharge information, and maternal history domains demonstrated a statistically significant month-to-month relative improvement in number of patients with complete documentation of 7.6%, 2.9%, 2.4%, and 2.0% respectively. There was also statistically significant month-to-month improvement in prescribing accuracy after joining the CIN of 2.8% and 1.4% for feeds and fluids but not for Antibiotic prescriptions. Findings suggest that much of the variation observed is due to hospital-level factors. It is possible to introduce tools that capture important clinical data at least 80% of the time in routine African hospital settings but analyses of such data will need to account for missingness using appropriate statistical techniques. These data allow exploration of trends in performance and could support better impact evaluation, exploration of links between health system inputs and outcomes and scrutiny of variation in quality and outcomes of hospital care.

Intraoperative Adverse Events, Technical Performance, and Surgical Outcomes in Laparoscopic Radical Surgery for Gastric Cancer: A Pooled Analysis From 2 Randomized Trials.

To verify an intraoperative adverse event (iAE) classification (ClassIntra grade) to evaluate quality control and to predict the prognostic performance of laparoscopic radical surgery for gastric cancer. Surgical quality control is a key factor in the evaluation of surgical treatment for tumors. And, there is no recognized iAE classification for gastric cancer. We performed a retrospective post hoc analysis of previously collected data from the FUGES-001 study (NCT02327481) and a subset of the CLASS-01 study (NCT01609309). Patients were classified into the iAE and non-iAE groups. And iAE was further classified into 5 subgrades according to the ClassIntra grade (with I-V severity categories). Technical performance was evaluated using the Objective Structured Assessment of Technical Skills tool and the Generic Error Rating Tool. Overall, 528 gastric cancer patients were included in this study, with 105 patients (19.9%) in the iAE group and 423 (80.1%) in the non-iAE group. The survival curve showed that the overall, disease-specific, and recurrence-free survival of the non-iAE group were significantly better than those of the iAE group ( P =0.001). The prognosis of patients with ClassIntra grade ≥II was significantly worse than that of patients with ClassIntra grade ≤I. A higher ClassIntra grade, lower Objective Structured Assessment of Technical Skills score, and total gastrectomy were independent risk factors for severe postoperative complications. There was a significant increase in bleeding (grade IV) and injury with splenic hilar lymph node dissection during total gastrectomy. The ClassIntra grade is an effective prognostic and surgical quality control index for laparoscopic radical surgery for gastric cancer; therefore, it could be included in routine hospital care and surgical quality control.

An assessment of the quality of antenatal care and pregnancy outcomes in a tertiary hospital in Ghana.

Antenatal care (ANC) is imperative to decreasing adverse pregnancy outcomes and their related maternal mortality. However, in sub-Saharan Africa, increases in ANC coverage have not correlated well with improved maternal and fetal outcomes suggesting the quality of ANC received could be the missing link. This study assessed ANC quality and its effect on adverse pregnancy outcomes among women who delivered at Komfo Anokye Teaching Hospital. A cross-sectional study was conducted among women who delivered at Komfo Anokye Teaching Hospital within the study period. Women were selected through systematic sampling and interviewed using a pretested structured questionnaire as well as review of their medical records. Data were collected on their sociodemographic and reproductive characteristics, care provided during ANC and delivery outcomes. Categorical variables were compared using the χ2 test. Factors associated with quality of ANC and adverse pregnancy outcomes were assessed using univariate and multivariate logistic regression to generate crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Statistical analyses were performed using SPSS and GraphPad Prism. P-values of < 0.05 were considered statistically significant. 950 women were recruited into the study with mean age of 30.39±5.57 years. Less than one-tenth (7.6%) of the women received good quality ANC, 63.4% had average quality ANC, and 29.0% received poor quality ANC. Increasing educational level and initiating ANC in the first trimester [aOR 0.2; 95%CI 0.08-0.68; p<0.001] increased the odds of receiving good quality ANC while being unemployed decreased the odds of receiving good quality ANC [aOR 0.3; 95% CI 0.12-0.65; p = 0.003]. Receiving poor and average quality of ANC were significantly associated with increased likelihood of developing anaemia during pregnancy, preeclampsia with severe features or delivering a low birth weight baby. Most women did not receive good quality ANC. High quality ANC should be provided while the women are encouraged to comply with the recommendations during ANC.

Utilizing Multi-Criteria Decision Making to Evaluate the Quality of Healthcare Services

Today’s patients are more informed and quality-conscious than ever before, which is crucial for healthcare practitioners as they interact with people’s lives daily. One of the most important challenges facing the healthcare sector worldwide concerns how to improve the overall quality of hospital care. As a result of the highly competitive nature of the economy in which healthcare services are offered, both public and private hospitals in Saudi Arabia must have their patient satisfaction rates assessed to help consumers make more informed decisions. As a result, we used the analytical hierarchy process (AHP) model to ascertain how patients in Saudi Arabia perceive the quality of the service that is provided by hospitals. The objective of the research work is to identify criteria for enhancing healthcare services using the analytic hierarchy process (AHP) technique to model the five SERVQUAL dimensions along with 2 dimensions and 31 sub-criteria. Three healthcare service organizations were selected for the study and evaluated based on their service quality performance. The AHP-based model has been demonstrated systematically for ranking the hospitals based on the healthcare system. It is observed that hospitals should concentrate the most on reliability, tangibles, and security and the least on consistency. In addition, according to the sub-criteria, the hospitals’ primary priority should be infection prevention and hygiene, with completeness receiving the least attention. Based on a survey of dimensions and their sub-criteria, the best hospital is Abha Private Hospital, followed by AHH, and then Asir General Hospital. Therefore, this study has implications for choices on the efficient monitoring of the overall health system to improve quality service delivery that would boost patient happiness, which is the goal of creating hospitals.

The lifetime costs of perinatal depression and anxiety in Brazil

BackgroundEach year, an estimated 860,000 Brazilian women experience depression and anxiety perinatally. Despite well-known devastating impacts of these conditions on mothers and children, they remain neglected in low- and middle-income countries. Knowing the costs of untreated perinatal depression and anxiety can inform decision-making. MethodsSimulation modelling is used to examine lifetime costs of perinatal depression and anxiety for a hypothetical cohort of women and their children, followed until children are aged 40 years. Costs are measured from a societal perspective, including healthcare expenditure, productivity and health-related quality of life losses; 2017 data are taken from country-specific sources. Present values are calculated using a discount rate of 3 %. ResultsLifetime cost of perinatal depression and anxiety in Brazil are USD 4.86 billion or R$ 26.16 billion, including costs linked to poorer quality of life (USD 2.65 billion), productivity loss (USD 2.16 billion) and hospital care (USD 0.05 billion). When the costs associated with maternal suicide are included, total costs increase to USD 4.93 billion. LimitationsSeveral costs could not be included in the analysis because of a lack of data. The study is reliant of longitudinal data on associations between perinatal depression and anxiety and impacts on mothers and children. Therefore, no causality can be inferred. ConclusionOur findings illustrate the economic rationale for investment in this area. This is the first study that estimates the costs of perinatal mental health problems in a low- or middle-income country setting.

Semi-parametric time-to-event modelling oflengths of hospital stays.

Length of stay (LOS) is an essential metric for the quality of hospital care. Published works on LOS analysis have primarily focused on skewed LOS distributions and the influences of patient diagnostic characteristics. Few authors have considered the events that terminate a hospital stay: Both successful discharge and death could end a hospital stay but with completely different implications. Modelling the time to the first occurrence of discharge or death obscures the true nature of LOS. In this research, we propose a structure that simultaneously models the probabilities of discharge and death. The model has a flexible formulation that accounts for both additive and multiplicative effects of factors influencing the occurrence of death and discharge. We present asymptotic properties of the parameter estimates so that valid inference can be performed for the parametric as well as nonparametric model components. Simulation studies confirmed the good finite-sample performance of the proposed method. As the research is motivated by practical issues encountered in LOS analysis, we analysed data from two real clinical studies to showcase the general applicability of the proposed model.

Proposal to set up a College of Family Medicine in East, Central and Southern Africa.

Family Medicine training in Africa is constrained by limited postgraduate educational resources and opportunities. Specialist training programmes in surgery, anaesthetics, internal medicine, paediatrics and others have developed a range of trainers and assessors through colleges across East, Central and Southern Africa (ECSA). Each college has a single curriculum with standardised training and assessment in designated institutions, which run alongside and in collaboration with the Master’s in Medicine programmes in universities. Partnerships between colleges in Britain, Ireland and Canada and national specialist associations have led to joint training-of-trainer courses, e-learning platforms, improved regional coordination, better educational networking and research opportunities through regional conferences and joint publications. We propose the establishment of a regional college for specialist training of family physicians, similar to other specialist colleges in ECSA. Partnerships with family medicine programmes in South Africa, Canada and Australia, with support from international institutions such as the Primary Care and Family Medicine Network for Sub-Saharan Africa (PRIMAFAMED) and the World Organisation of Family Doctors (WONCA Africa), would be essential for its success. Improved health outcomes have been demonstrated with strong primary care systems and related to the number of family physicians in communities. A single regional college would make better use of resources available for training, assessment and accreditation and strengthen international and regional partnerships. Family medicine training in Africa could benefit from the experience of specialist colleges in the ECSA region to accelerate training of a critical mass of family physicians. This will raise the profile of family medicine in Africa and contribute to improved quality of primary care and clinical services in district hospitals.

Factors associated with emergency readmissions after acute stroke: A retrospective audit of two hospitals.

Emergency hospital readmissions within 30 days of discharge from hospital are considered a marker for the quality of hospital care, patient experience, the discharge process and integration with community services. This paper describes the frequency and variations in cause of emergency readmissions at 30 and 90 days following discharge after acute stroke from two stroke units. Retrospective data collection of Hospital Episodes Statistics (HES) and Sentinel Stroke National Audit Programme (SSNAP) of consecutive acute stroke hospital discharges over 24 months from 2017 to 2019 from two specialist stroke units in England. HES data were used to calculate the Charlson comorbidity index (CCI). Covariates were analysed for their association with readmission rate, including: age; gender; CCI; length of stay for first stroke admission; living alone; discharge to a care home; discharge receiving stroke specialist early supported discharge (ESD) rehabilitationand stroke severity as determined by National Institute for Health Stroke Scaleon stroke admission. From 2017 to 2019 there were 1999 live discharges with a primary diagnosis of stroke. Both hospitals had a trend of increasing readmission rates with increasing stroke severity and comorbidity. Longer length of stroke admission, especially for patients with increasing stroke severity, and patients receiving ESD rehabilitation after discharge reduced 90-day readmissions. This association was stronger at 90 days than at 30 days. Different readmission event rates were found at 30 and 90 days and when events were compared between the two hospitals. Understanding differences in readmission event rates between hospitals at 30 and 90 days can support local planning of patient needs in the first weeks after stroke discharge and to investigate ways for hospital to reduce the impact of readmission. It is recommended that stroke services use both 30 and 90-day readmissions to inform service evaluation and improvement.

Effect of WHO-SCC based intra-department mentoring program on quality of intrapartum care in public sector secondary hospitals in Andhra Pradesh, India: Pre-post mixed methods evaluation.

Quality of intrapartum care is essential for improving pregnancy outcomes; several models for improving performance are tested, globally. Dakshata is one such WHO SCC-based national program-improving resources, providers' competence, and accountability-in public sector secondary care hospitals of India. Andhra Pradesh state devised strategy of mentoring by the handpicked member from within the obstetric team, supported by external technical partner. We evaluated the effectiveness and assessed contextual factors to success of the program. We conducted pre and post mentoring mixed-method surveys to evaluate the change in evidence-based intrapartum and newborn care practices and stillbirth rates, across 23 of 38 eligible hospitals. We directly observed obstetric assessments and childbirth, extracted data from casesheets and registers, interviewed beneficiaries and conducted facility surveys. We in-depth interviewed stakeholders from state, district and facility managers, mentors and obstetric staff, and external managers for theory-driven qualitative assessment. After one year we found, average adherence to practices sustained high during admission (81%, 81%); improved during childbirth (78%, 86%; p = 0.016); moderate within one hour of birth (72%, 71%), and poor postpartum care before discharge (46% to 43%). Stillbirths reduced from 11(95% CI, 9-13) to 4(3-5) per 1000 births (p<0.001). Some practices did not improve even after sustained reinforcement. Commitment from state, engaging district officers, monitoring and feedback by external managers enabled supportive setting. The structured training and mentoring package, and periodic assessments delivered under supervision ensured the standards of mentoring. The mentoring model is acceptable, effective, less costly and scalable; appears sustainable if state commits to institutionalising a long-term mentoring with adequate monitoring. We conclude that the SCC-based mentoring and skill building program showed improvement in practices during childbirth while it sustained high levels of care during admission, but no improvement in postpartum care. The state needs to monitor and ensure continuous mentoring with required infrastructural support.

Machine learning prediction of postoperative unplanned 30-day hospital readmission in older adult.

Background: Although unplanned hospital readmission is an important indicator for monitoring the perioperative quality of hospital care, few published studies of hospital readmission have focused on surgical patient populations, especially in the elderly. We aimed to investigate if machine learning approaches can be used to predict postoperative unplanned 30-day hospital readmission in old surgical patients. Methods: We extracted demographic, comorbidity, laboratory, surgical, and medication data of elderly patients older than 65 who underwent surgeries under general anesthesia in West China Hospital, Sichuan University from July 2019 to February 2021. Different machine learning approaches were performed to evaluate whether unplanned 30-day hospital readmission can be predicted. Model performance was assessed using the following metrics: AUC, accuracy, precision, recall, and F1 score. Calibration of predictions was performed using Brier Score. A feature ablation analysis was performed, and the change in AUC with the removal of each feature was then assessed to determine feature importance. Results: A total of 10,535 unique surgeries and 10,358 unique surgical elderly patients were included. The overall 30-day unplanned readmission rate was 3.36%. The AUCs of the six machine learning algorithms predicting postoperative 30-day unplanned readmission ranged from 0.6865 to 0.8654. The RF + XGBoost algorithm overall performed the best with an AUC of 0.8654 (95% CI, 0.8484–0.8824), accuracy of 0.9868 (95% CI, 0.9834–0.9902), precision of 0.3960 (95% CI, 0.3854–0.4066), recall of 0.3184 (95% CI, 0.259–0.3778), and F1 score of 0.4909 (95% CI, 0.3907–0.5911). The Brier scores of the six machine learning algorithms predicting postoperative 30-day unplanned readmission ranged from 0.3721 to 0.0464, with RF + XGBoost showing the best calibration capability. The most five important features of RF + XGBoost were operation duration, white blood cell count, BMI, total bilirubin concentration, and blood glucose concentration. Conclusion: Machine learning algorithms can accurately predict postoperative unplanned 30-day readmission in elderly surgical patients.

Evaluation of the hospital care quality perceived by patients with immune-mediated inflammatory diseases from the pharmacy service. SACVINFA study.

Immune-mediated inflammatory diseases (IMIDs) are a group of chronic and highly disabling diseases. The objective is to evaluate the satisfaction with the health care received by patients with the most prevalent IMIDs in Spain: inflammatory bowel disease (IBD), psoriasis (Ps) psoriatic arthritis (PsA), rheumatoid arthritis (RA) and spondyloarthropathies (SpAs), and to determine the factors that influence patient satisfaction. This was an observational, cross-sectional, multicentre study in a real-world evidence context conducted in the Pharmacy Service in four hospital centres of the Community of Madrid that belong to the National Health System. The study included adult patients diagnosed with an IMID who had attended the Pharmacy Service at least three times. The patients were grouped according to the main IMID. Health care satisfaction was evaluated using the chronic patient experience assessment (IEXPAC) questionnaire. The responses to IEXPAC are grouped into three factors: productive interactions, new relational model and patient self-management, with a total score from 0 (worst) to 10 (best experience). Health-related quality of life (HRQoL) was also evaluated using the EQ-5D-5L questionnaire, and pharmacological adherence was evaluated through the Morisky-Green test. A total of 578 patients were analysed (IBD=25.3%; Ps=19.7%; SpAs=18.7%; RA=18.5%; PsA=17.8%). The mean age (SD) was 49.8 (12.3) years and 50.7% were male. The average score (SD) for the total IEXPAC sample was 6.6 (1.9). RA was the IMID with the lowest score, at 5.83 (2.0), significantly lower than the scores of Ps (SD) [7.01 (1.7); p=0.003], IBD [6.83 (1, 9); p=0.012] and SpAs [6.80 (1.6); p=0.001]. Productive interactions (SD) [8.5 (1.8)] and patient self-management (SD) [7.3 (2.3)] were the factors with the highest scores, and the new relational model had the lowest score (SD) [3.2 (2.7)]. Male gender, a longer time interval between medication administrations and a higher HRQoL were correlated with better patient satisfaction. Current biological therapy (according to the Anatomical Chemical classification system) also had a significant influence; patients treated with tumour necrosis factor inhibitors and interleukin inhibitors showed greater satisfaction than those treated with selective immunosuppressants. The IEXPAC results show high general satisfaction with care quality reported by patients with IMIDs treated in the Pharmacy Service. However, there are areas of improvement in care quality specially health professional-patient communication, such as increasing access to information, and promoting and facilitating relationships with patients in similar conditions.

Type 1 Diabetes Patient Experiences Before and After Transfer from a Paediatric to an Adult Hospital.

IntroductionThe management of type 1 diabetes (T1D) is especially complex during adolescence when youths are transferred to adult care centres. The objectives of this qualitative study were to: a) determine the expectations of young T1D patients prior to transfer, b) evaluate the transfer process between the 2 centres, and c) evaluate the therapeutic education and care programme (TECP) in the adult centre from their point of view.Material and MethodsOpinion sampling of adolescents from 2018–2019 was performed: Phase 1: adolescents with T1D prior to transfer to the adult hospital; Phase 2: adolescents with T1D one or two years after transfer and having undergone TECP. A focus group (1.5h) and semi-structured interviews (45 min) were performed and taped, transcribed, and sent to the participants for confirmation. Date analysis was performed of the transcriptions of the focus group and interviews. Fragments were selected and meta-categories created.ResultsEleven youths accepted to participate: 7 in Phase 1, 4 repeated in Phase 2 and 4 more transferred 2 years previously were added. The meta-categories obtained were: 1) perception of the quality of care and therapeutic education in the paediatric hospital. 2) transfer to the adult hospital. 3) experience of the youths 1–2 years after transfer and having undergone TECP. The data are presented in narrative form and are supported with text fragments of the participants’ discussions.Discussion and conclusionsAnalysis of patients’ experience complemented by clinical-educational evaluation of TECP provides understanding of the perspectives of youths on the complexity of living with a chronic disease since childhood. It also provides information regarding the factors favouring quality care and therapeutic education, the complexity of transfer from paediatric to adult care, determination of the strong and weak points and the establishment of strategies to improve the programme.

US Surveillance of Acute Ischemic Stroke Patient Characteristics, Care Quality, and Outcomes for 2019.

The United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes. Clinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge. We estimate 552 476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60-81), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%). We provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.

Patient satisfaction with nursing care: A bibliometric and visualization analysis (1950-2021).

The current study aimed to provide an overview of research publications on patient satisfaction with nursing care. Research activity on patient satisfaction with nursing care is an indicator of the commitment of policymakers to improve the quality of health services. This was a descriptive cross-sectional bibliometric study. The Scopus database was used to retrieve relevant documents for the period from 1950 to 31 December 2021. The keywords 'patient satisfaction' and 'nursing care' were used in the search strategy. Two volunteers validated the search strategy. The search strategy found 387 documents authored by 1470 researchers and disseminated through 241 journals. Research on patient satisfaction with nursing care (a) has experienced a steep growth over the last decade; (b) was mainly published by scholars from a limited number of countries; (c) has limited cross-country collaboration and limited author collaboration; (d) has addressed research topics concerning the quality of care, instrument validation, emergency department and hospital care and (e) has shown the highest readability for topics related to nurses' burnout and patient satisfaction. Researchers and educators, especially in low- and middle-income countries, need to focus on this field to support activities to upgrade health services and patient outcomes.

Global core indicators for measuring WHO’s paediatric quality-of-care standards in health facilities: development and expert consensus

BackgroundThere are currently no global recommendations on a parsimonious and robust set of indicators that can be measured routinely or periodically to monitor quality of hospital care for children and young adolescents. We describe a systematic methodology used to prioritize and define a core set of such indicators and their metadata for progress tracking, accountability, learning and improvement, at facility, (sub) national, national, and global levels.MethodsWe used a deductive methodology which involved the use of the World Health Organization Standards for improving the quality-of-care for children and young adolescents in health facilities as the organizing framework for indicator development. The entire process involved 9 complementary steps which included: a rapid literature review of available evidence, the application of a peer-reviewed systematic algorithm for indicator systematization and prioritization, and multiple iterative expert consultations to establish consensus on the proposed indicators and their metadata.ResultsWe derived a robust set of 25 core indicators and their metadata, representing all 8 World Health Organization quality standards, 40 quality statements and 520 quality measures. Most of these indicators are process-related (64%) and 20% are outcome/impact indicators. A large proportion (84%) of indicators were proposed for measurement at both outpatient and inpatient levels. By virtue of being a parsimonious set and given the stringent criteria for prioritizing indicators with “quality measurement” attributes, the recommended set is not evenly distributed across the 8 quality standards.ConclusionsTo support ongoing global and national initiatives around paediatric quality-of-care programming at country level, the recommended indicators can be adopted using a tiered approach that considers indicator measurability in the short-, medium-, and long-terms, within the context of the country’s health information system readiness and maturity. However, there is a need for further research to assess the feasibility of implementing these indicators across contexts, and the need for their validation for global common reporting.

HealthRota: An evaluation of a digital rostering platform for managing hospital doctors' rotas and leave

In order to provide safe, high-quality hospital care, it is essential that doctors are optimally deployed. Digital platforms for rostering doctors improves both the quality of hospital care and the wellbeing of doctors. We evaluated the usability and acceptability of the HealthRota© e-rostering system. We circulated an electronic survey among doctors with current/previous experience of using HealthRota, and measured usability (with a system usability score (SUS)) and acceptability. We collected data on how doctors believed HealthRota affected wellbeing, patient safety and training. There were 209 responses (67 non-training clinical fellows, 114 training doctors and 27 consultants) from an estimated 350 doctors who have used HealthRota. Overall, the median SUS score was 86/100 (interquartile range (IQR) 75-97), and there were no differences by role (p=0.118), age (p=0.632) or years of experience (p=0.963). The median Likert score for recommending HealthRota to a colleague was 5/5 (IQR 4-5). There were no differences in role (p=0.477), age (p=0.904) or years of experience (p=0.930). Doctors suggested that HealthRota improves patient safety (4/5 (IQR 3-5)), junior doctor training (4/5 (IQR 3-5)), doctor wellbeing (4/5 (IQR 3-5)) and out-of-hours cover (4/5 (IQR 3-5)). HealthRota is usable and acceptable to doctors and improved the quality of patient care and doctor wellbeing. This serves as evidence to broaden the use of HealthRota.