Implementing paediatric patient-reported outcome measures in outpatient asthma clinics: a feasibility assessment study.

OBJECTIVE: Implementation of patient-reported outcome measures (PROMs) is limited in paediatric routine clinical care. The KidsPRO programme has been codesigned to facilitate the implementation of PROMs in paediatric healthcare settings. Therefore, this study (1) describes the development of innovative KidsPRO programme and (2) reports on the feasibility of implementing PedsQL (Pediatric Quality of Life Inventory) PROM in asthma clinics using the KidsPRO programme. DESIGN: Feasibility assessment study. SETTING: Outpatient paediatric asthma clinics in the city of Calgary, Canada. PARTICIPANTS: Five paediatric patients, four family caregivers and three healthcare providers were recruited to pilot the implementation of PedsQL PROM using KidsPRO. Then, a survey was used to assess its feasibility among these study participants. MAIN OUTCOME MEASURES: Participants' understanding of using PROMs, the adequacy of support provided to them, the utility of using PROMs as part of their appointment, and their satisfaction with using PROMs. ANALYSES: The quantitative data generated through closed-ended questions was analysed and represented in the form of bar charts for each category of study participants (ie, patients, their family caregivers and healthcare providers). The qualitative data generated through the open-ended questions were content analysed and categorised into themes. RESULTS: The experience of using PROMs was overwhelmingly positive among patients and their family caregivers, results were mixed among healthcare providers. Qualitative data collected through open-ended questions also complemented the quantitative findings. CONCLUSION: The evidence from this study reveals that the implementation of PROMs in routine paediatric clinical care asthma clinics in Alberta is seems to be feasible.

Automating data collection methods in electronic health record systems: a Social Determinant of Health (SDOH) viewpoint.

Social Determinant of Health (SDOH) data are important targets for research and innovation in Health Information Systems (HIS). The ways we envision SDOH in "smart" information systems will play a considerable role in shaping future population health landscapes. Current methods for data collection can capture wide ranges of SDOH factors, in standardised and non-standardised formats, from both primary and secondary sources. Advances in automating data linkage and text classification show particular promise for enhancing SDOH in HIS. One challenge is that social communication processes embedded in data collection are directly related to the inequalities that HIS attempt to measure and redress. To advance equity, it is imperative thatcare-providers, researchers, technicians, and administrators attend to power dynamics in HIS standards and practices. We recommend: 1. Investing in interdisciplinary and intersectoral knowledge generation and translation. 2. Developing novel methods for data discovery, linkage and analysis through participatory research. 3. Channelling information into upstream evidence-informed policy.

Health data governance for research use in Alberta.

Alberta has rich clinical and health services data held under the custodianship of Alberta Health and Alberta Health Services (AHS), which is not only used for clinical and administrative purposes but also disease surveillance and epidemiological research. Alberta is the largest province in Canada with a single payer centralised health system, AHS, and a consolidated data and analytics team supporting researchers across the province. This paper describes Alberta's data custodians, data governance mechanisms, and streamlined processes followed for research data access. AHS has created a centralised data repository from multiple sources, including practitioner claims data, hospital discharge data, and medications dispensed, available for research use through the provincial Data and Research Services (DRS) team. The DRS team is integrated within AHS to support researchers across the province with their data extraction and linkage requests. Furthermore, streamlined processes have been established, including: 1) ethics approval from a research ethics board, 2) any necessary operational approvals from AHS, and 3) a tripartite legal agreement dictating terms and conditions for data use, disclosure, and retention. This allows researchers to gain timely access to data. To meet the evolving and ever-expanding big-data needs, the University of Calgary, in partnership with AHS, has built high-performance computing (HPC) infrastructure to facilitate storage and processing of large datasets. When releasing data to researchers, the analytics team ensures that Alberta's Health Information Act's guiding principles are followed. The principal investigator also ensures data retention and disposition are according to the plan specified in ethics and per the terms set out by funding agencies. Even though there are disparities and variations in the data protection laws across the different provinces in Canada, the streamlined processes for research data access in Alberta are highly efficient.

Factors Associated With Willingness to Share Health Information: Rapid Review.

BACKGROUND: To expand research and strategies to prevent disease, comprehensive and real-time data are essential. Health data are increasingly available from platforms such as pharmaceuticals, genomics, health care imaging, medical procedures, wearable devices, and internet activity. Further, health data are integrated with an individual's sociodemographic information, medical conditions, genetics, treatments, and health care. Ultimately, health information generation and flow are controlled by the patient or participant; however, there is a lack of understanding about the factors that influence willingness to share health information. A synthesis of the current literature on the multifactorial nature of health information sharing preferences is required to understand health information exchange. OBJECTIVE: The objectives of this review are to identify peer-reviewed literature that reported factors associated with health information sharing and to organize factors into cohesive themes and present a narrative synthesis of factors related to willingness to share health information. METHODS: This review uses a rapid review methodology to gather literature regarding willingness to share health information within the context of eHealth, which includes electronic health records, personal health records, mobile health information, general health information, or information on social determinants of health. MEDLINE and Google Scholar were searched using keywords such as electronic health records AND data sharing OR sharing preference OR willingness to share. The search was limited to any population that excluded health care workers or practitioners, and the participants aged ≥18 years within the US or Canadian context. The data abstraction process using thematic analysis where any factors associated with sharing health information were highlighted and coded inductively within each article. On the basis of shared meaning, the coded factors were collated into major themes. RESULTS: A total of 26 research articles met our inclusion criteria and were included in the qualitative analysis. The inductive thematic coding process revealed multiple major themes related to sharing health information. CONCLUSIONS: This review emphasized the importance of data generators' viewpoints and the complex systems of factors that shape their decision to share health information. The themes explored in this study emphasize the importance of trust at multiple levels to develop effective information exchange partnerships. In the case of improving precision health care, addressing the factors presented here that influence willingness to share information can improve sharing capacity for individuals and allow researchers to reorient their methods to address hesitation in sharing health information.

Exploring the differences in ICD and hospital morbidity data collection features across countries: an international survey.

BACKGROUND: The International Classification of Diseases (ICD) is the reference standard for reporting diseases and health conditions globally. Variations in ICD use and data collection across countries can hinder meaningful comparisons of morbidity data. Thus, we aimed to characterize ICD and hospital morbidity data collection features worldwide. METHODS: An online questionnaire was created to poll the World Health Organization (WHO) member countries that were using ICD. The survey included questions focused on ICD meta-features and hospital data collection systems, and was distributed via SurveyMonkey using purposive and snowball sampling. Accordingly, senior representatives from organizations specialized in the topic, such as WHO Collaborating Centers, and other experts in ICD coding were invited to fill out the survey and forward the questionnaire to their peers. Answers were collated by country, analyzed, and presented in a narrative form with descriptive analysis. RESULTS: Responses from 47 participants were collected, representing 26 different countries using ICD. Results indicated worldwide disparities in the ICD meta-features regarding the maximum allowable coding fields for diagnosis, the definition of main condition, and the mandatory type of data fields in the hospital morbidity database. Accordingly, the most frequently reported answers were "reason for admission" as main condition definition (n = 14), having 31 or more diagnostic fields available (n = 12), and "Diagnoses" (n = 26) and "Patient demographics" (n = 25) for mandatory data fields. Discrepancies in data collection systems occurred between but also within countries, thereby revealing a lack of standardization both at the international and national level. Additionally, some countries reported specific data collection features, including the use or misuse of ICD coding, the national standards for coding or lack thereof, and the electronic abstracting systems utilized in hospitals. CONCLUSIONS: Harmonizing ICD coding standards/guidelines should be a common goal to enhance international comparisons of health data. The current international status of ICD data collection highlights the need for the promotion of ICD and the adoption of the newest version, ICD-11. Furthermore, it will encourage further research on how to improve and standardize ICD coding.

A data quality assessment to inform hypertension surveillance using primary care electronic medical record data from Alberta, Canada.

BACKGROUND: Hypertension is a common chronic condition affecting nearly a quarter of Canadians. Hypertension surveillance in Canada typically relies on administrative data and/or national surveys. Routinely-captured data from primary care electronic medical records (EMRs) are a complementary source for chronic disease surveillance, with longitudinal patient-level details such as sociodemographics, blood pressure, weight, prescribed medications, and behavioural risk factors. As EMR data are generated from patient care and administrative tasks, assessing data quality is essential before using for secondary purposes. This study evaluated the quality of primary care EMR data from one province in Canada within the context of hypertension surveillance. METHODS: We conducted a cross-sectional, descriptive study using primary care EMR data collected by two practice-based research networks in Alberta, Canada. There were 48,377 adults identified with hypertension from 53 clinics as of June 2018. Summary statistics were used to examine the quality of data elements considered relevant for hypertension surveillance. RESULTS: Patient year of birth and sex were complete, but other sociodemographic information (ethnicity, occupation, education) was largely incomplete and highly variable. Height, weight, body mass index and blood pressure were complete for most patients (over 90%), but a small proportion of outlying values indicate data inaccuracies were present. Most patients had a relevant laboratory test present (e.g. blood glucose/glycated hemoglobin, lipid profile), though a very small proportion of values were outside a biologically plausible range. Details of prescribed antihypertensive medication, such as start date, strength, dose, frequency, were mostly complete. Nearly 80% of patients had a smoking status recorded, though only 66% had useful information (i.e. categorized as current, past, or never), and less than half had their alcohol use described; information related to amount, frequency or duration was not available. CONCLUSIONS: Blood pressure and prescribed medications in primary care EMR data demonstrated good completeness and plausibility, and contribute valuable information for hypertension epidemiology and surveillance. The use of other clinical, laboratory, and sociodemographic variables should be used carefully due to variable completeness and suspected data errors. Additional strategies to improve these data at the point of entry and after data extraction (e.g. statistical methods) are required.

Identifying the facilitators, constraints and barriers of community indoor walking programmes: protocol for a realist synthesis.

INTRODUCTION: Physical inactivity is a costly and leading health risk factor. Engaging in moderate or more intense regular physical activity reduces premature mortality at the population level. Walking is a viable option for achieving the recommended level of physical activity. Yet, the sedentary lifestyle is trending. Determinants of physical activity may be personal, social or environmental. Health promotion endeavours aiming to enhance population-level physical activity are reported in the literature. However, a full range of factors influencing the development and implementation of sustainable indoor walking programmes is unclear. The current review protocol is aimed at describing a process of realist synthesis to uncover contexts, mechanisms and outcomes of indoor walking intervention programmes, which might reveal facilitators, constraints and barriers of planning, implementing and participating in indoor walking initiatives open for the members of the general public. METHODS AND ANALYSIS: We will employ a realist synthesis to determine successes or failures in certain circumstances for specific stakeholders, which will aid in developing a sustainable mall walking health promotion and community engagement programme. Qualitative, quantitative and mixed-method articles and reports will be screened for intervention theories and models in order to identify elements of programmes that may be linked to the success or failure of the interventions. Data related to the context, mechanism and outcome of the interventions will be collected, analysed and synthesised iteratively until a theoretical understanding develops, which might explain the intricacies of the success and failure of identified indoor walking programmes. The review process will be conducted and evaluated by using the recommended tools. ETHICS AND DISSEMINATION: Ethical approval, such as Conjoint Health Research Ethics Board, was not required for this study because no direct interaction with patients will occur for data collection and analysis. We will disseminate directly to the scholarly community through publication and presentation and may post on social media or websites. PROSPERO REGISTRATION NUMBER: CRD42020150415.

Inequality in the health services utilization in rural and urban china: A horizontal inequality analysis.

BACKGROUND: Inequality in health and health care remains a rather challenging issue in China, existing both in rural and urban area, and between rural and urban. This study used nationally representative data to assess inequality in both rural and urban China separately and to identify socioeconomic factors that may contribute to this inequality. METHODS: This study used 2008 National Health Services Survey data. Demographic characteristics, income, health status, medical service utilization, and medical expenses were collected. Horizontal inequality analysis was performed using nonlinear regression method. RESULTS: Positive inequity in outpatient services and inpatient service was evident in both rural and urban area of China. Greater inequity of outpatient service use in urban than that in rural areas was evident (horizontal inequity index [HI] = 0.085 vs 0.029). In contrast, rural areas had greater inequity of inpatient service use compared to urban areas (HI = 0.21 vs 0.16). The decomposition analysis found that the household income made the greatest pro-rich contribution in both rural and urban China. However, chronic diseases and aging were also important contributors to the inequality in rural area. CONCLUSION: The inequality in health service in both rural and urban China was mainly attributed to the household income. In addition, chronic disease and aging were associated with inequality in rural population. Those findings provide evidences for policymaker to develop a sustainable social welfare system in China.

Improving the quality of care with a single-entry model of referral for total joint replacement: a preimplementation/postimplementation evaluation.

OBJECTIVES: We assessed: (1) waiting time variation among surgeons; (2) proportion of patients receiving surgery within benchmark and (3) influence of the Winnipeg Central Intake Service (WCIS) across five dimensions of quality: accessibility, acceptability, appropriateness, effectiveness, safety. DESIGN: Preimplementation/postimplementation cross-sectional design comparing historical (n=2282) and prospective (n=2397) cohorts. SETTING: Regional, provincial health authority. PARTICIPANTS: Patients awaiting total joint replacement of the hip or knee. INTERVENTIONS: The WCIS is a single-entry model (SEM) to improve access to total hip replacement (THR) or total knee replacement (TKR) surgery, implemented to minimise variation in total waiting time (TW) across orthopaedic surgeons and increase the proportion of surgeries within 26 weeks (benchmark). Impact of SEMs on quality of care is poorly understood. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes related to 'accessibility': waiting time variation across surgeons, waiting times (Waiting Time 2 (WT2)=decision to treat until surgery and TW=total waiting time) and surgeries within benchmark. Analysis included descriptive statistics, group comparisons and clustered regression. RESULTS: Variability in TW among surgeons was reduced by 3.7 (hip) and 4.3 (knee) weeks. Mean waiting was reduced for TKR (WT2/TW); TKR within benchmark increased by 5.9%. Accessibility and safety were the only quality dimensions that changed (post-WCIS THR and TKR). Shorter WT2 was associated with post-WCIS (knee), worse Oxford score (hip and knee) and having medical comorbidities (hip). Meeting benchmark was associated with post-WCIS (knee), lower Body Mass Index (BMI) (hip) and worse Oxford score (hip and knee). CONCLUSIONS: The WCIS reduced variability across surgeon waiting times, with modest reductions in overall waits for surgery. There was improvement in some, but not all, dimensions of quality.

Developing an adapted Charlson comorbidity index for ischemic stroke outcome studies.

BACKGROUND: The Charlson comorbidity index (CCI) is commonly used to adjust for patient casemix. We reevaluated the CCI in an ischemic stroke (IS) cohort to determine whether the original seventeen comorbidities and their weights are relevant. METHODS: We identified an IS cohort (N = 6988) from the Ontario Stroke Registry (OSR) who were discharged from acute hospitals (N = 100) between April 1, 2012 and March 31, 2013. We used hospital discharge ICD-10-CA data to identify Charlson comorbidities. We developed a multivariable Cox model to predict one-year mortality retaining statistically significant (P < 0.05) comorbidities with hazard ratios ≥1.2. Hazard ratios were used to generate revised weights (1-6) for the comorbid conditions. The performance of the IS adapted Charlson comorbidity index (ISCCI) mortality model was compared to the original CCI using the c-statistic and continuous Net Reclassification Index (cNRI). RESULTS: Ten of the 17 Charlson comorbid conditions were retained in the ISCCI model and 7 had reassigned weights when compared to the original CCI model . The ISCCI model showed a small but significant increase in the c-statistic compared to the CCI for 30-day mortality (c-statistic 0.746 vs. 0.732, p = 0.009), but no significant increase in c-statistic for in-hospital or one-year mortality. There was also no improvement in the cNRI when the ISCCI model was compared to the CCI. CONCLUSIONS: The ISCCI model had similar performance to the original CCI model. The key advantage of the ISCCI model is it includes seven fewer comorbidities and therefore easier to implement in situations where coded data is unavailable.

How to measure cultural competence when evaluating patient-centred care: a scoping review.

OBJECTIVES: The purpose of this study was to identify patient-centred quality indicators (PC-QI) and measures for measuring cultural competence in healthcare. DESIGN: Scoping review. SETTING: All care settings. SEARCH STRATEGY: A search of CINAHL, EMBASE, MEDLINE, PsycINFO, Social Work Abstracts and SocINDEX, and the grey literature was conducted to identify relevant studies. Studies were included if they reported indicators or measures for cultural competence. We differentiated PC-QIs from measures: PC-QIs were identified as a unit of measurement of the performance of the healthcare system, which reflects what matters to patients and families, and to any individual that is in contact with healthcare services. In contrast, measures evaluate delivery of patient-centred care, in the form of a survey and/or checklist. Data collected included publication year and type, country, ethnocultural groups and mention of quality indicator and/or measures for cultural competence. RESULTS: The search yielded a total of 786 abstracts and sources, of which 16 were included in the review. Twelve out of 16 sources reported measures for cultural competence, for a total of 10 measures. Identified domains from the measures included: physical environment, staff awareness of attitudes and values, diversity training and communication. Two out of 16 sources reported PC-QIs for cultural competence (92 structure and process indicators, and 48 outcome indicators). There was greater representation of structure and process indicators and measures for cultural competence, compared with outcome indicators. CONCLUSION: Monitoring and evaluating patient-centred care for ethnocultural communities allows for improvements to be made in the delivery of culturally competent healthcare. Future research should include development of PC-QIs for measuring cultural competence that also reflect cultural humility, and the involvement of ethnocultural communities in the development and implementation of these indicators.

Correction: The effects of patient cost sharing on inpatient utilization, cost, and outcome.

[This corrects the article DOI: 10.1371/journal.pone.0187096.].

Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data.

OBJECTIVE: Data quality assessment is a challenging facet for research using coded administrative health data. Current assessment approaches are time and resource intensive. We explored whether association rule mining (ARM) can be used to develop rules for assessing data quality. MATERIALS AND METHODS: We extracted 2013 and 2014 records from the hospital discharge abstract database (DAD) for patients between the ages of 55 and 65 from five acute care hospitals in Alberta, Canada. The ARM was conducted using the 2013 DAD to extract rules with support ≥0.0019 and confidence ≥0.5 using the bootstrap technique, and tested in the 2014 DAD. The rules were compared against the method of coding frequency and assessed for their ability to detect error introduced by two kinds of data manipulation: random permutation and random deletion. RESULTS: The association rules generally had clear clinical meanings. Comparing 2014 data to 2013 data (both original), there were 3 rules with a confidence difference >0.1, while coding frequency difference of codes in the right hand of rules was less than 0.004. After random permutation of 50% of codes in the 2014 data, average rule confidence dropped from 0.72 to 0.27 while coding frequency remained unchanged. Rule confidence decreased with the increase of coding deletion, as expected. Rule confidence was more sensitive to code deletion compared to coding frequency, with slope of change ranging from 1.7 to 184.9 with a median of 9.1. CONCLUSION: The ARM is a promising technique to assess data quality. It offers a systematic way to derive coding association rules hidden in data, and potentially provides a sensitive and efficient method of assessing data quality compared to standard methods.

How to practice person-centred care: A conceptual framework.

BACKGROUND: Globally, health-care systems and organizations are looking to improve health system performance through the implementation of a person-centred care (PCC) model. While numerous conceptual frameworks for PCC exist, a gap remains in practical guidance on PCC implementation. METHODS: Based on a narrative review of the PCC literature, a generic conceptual framework was developed in collaboration with a patient partner, which synthesizes evidence, recommendations and best practice from existing frameworks and implementation case studies. The Donabedian model for health-care improvement was used to classify PCC domains into the categories of "Structure," "Process" and "Outcome" for health-care quality improvement. DISCUSSION: The framework emphasizes the structural domain, which relates to the health-care system or context in which care is delivered, providing the foundation for PCC, and influencing the processes and outcomes of care. Structural domains identified include: the creation of a PCC culture across the continuum of care; co-designing educational programs, as well as health promotion and prevention programs with patients; providing a supportive and accommodating environment; and developing and integrating structures to support health information technology and to measure and monitor PCC performance. Process domains describe the importance of cultivating communication and respectful and compassionate care; engaging patients in managing their care; and integration of care. Outcome domains identified include: access to care and Patient-Reported Outcomes. CONCLUSION: This conceptual framework provides a step-wise roadmap to guide health-care systems and organizations in the provision PCC across various health-care sectors.

The effects of patient cost sharing on inpatient utilization, cost, and outcome.

BACKGROUND: Health insurance and provider payment reforms all over the world beg a key empirical question: what are the potential impacts of patient cost-sharing on health care utilization, cost and outcomes? The unique health insurance system and rich electronic medical record (EMR) data in China provides us a unique opportunity to study this topic. METHODS: Four years (2010 to 2014) of EMR data from one medical center in China were utilized, including 10,858 adult patients with liver diseases. We measured patient cost-sharing using actual reimbursement ratio (RR) which is allowed us to better capture financial incentive than using type of health insurance. A rigorous risk adjustment method was employed with both comorbidities and disease severity measures acting as risk adjustors. Associations between RR and health use, costs and outcome were analyzed by multivariate analyses. RESULTS: After risk adjustment, patients with more generous health insurance coverage (higher RR) were found to have longer hospital stay, higher total cost, higher medication cost, and higher ratio of medication to total cost, as well as higher number and likelihood that specific procedures were performed. CONCLUSION: Our study implied that patient cost-sharing affects health care services use and cost. This reflects how patients and physicians respond to financial incentives in the current healthcare system in China, and the responses could be a joint effect of both demand and supply side moral hazard. In order to contain cost and improve efficiency in the system, reforming provide payment and insurance scheme is urgently needed.

Comparison of Methods to Define High Use of Inpatient Services Using Population-Based Data.

BACKGROUND: A variety of methods have been proposed to define "high users" of inpatient services, which may have implications for targeting subgroups for intervention. OBJECTIVE: To compare 3 common definitions of high inpatient service use and their influence on patient capture, outcomes, and inpatient burden. DESIGN, SETTING, PATIENTS: We defined "high use" based on the upper 5th percentile of the population by 3 definitions: (1) number of inpatient episodes (≥3 hospitalizations/year), (2) cumulative length of stay (≥56 days in hospital/year), and (3) cumulative cost based on hospitalization resource intensity weights (≥ $63,597 Canadian dollars/year). Clinical characteristics, health outcomes, and overall health burden were compared across definitions and stratified by age. RESULTS: Of that population, 10.3% of individuals were common to all definitions. High users based on number of inpatient episodes were more likely to be admitted for acute conditions, with most high users based on length of stay admitted for mental health-related conditions, while those based on costs were more likely to have hospitalizations resulting in death (9.3%). High-episode individuals accounted for 16.6% of all inpatient episodes, high-length of stay individuals for 46.4% of all hospital days, and high-cost individuals for 38.9% of total cost. CONCLUSIONS: Three definitions of high users of inpatient services captured significantly different groups of patients. This has implications for targeting subgroups for intervention and highlights important considerations for selecting the most suitable definition for a given objective.

Validation of two case definitions to identify pressure ulcers using hospital administrative data.

OBJECTIVE: Pressure ulcer development is a quality of care indicator, as pressure ulcers are potentially preventable. Yet pressure ulcer is a leading cause of morbidity, discomfort and additional healthcare costs for inpatients. Methods are lacking for accurate surveillance of pressure ulcer in hospitals to track occurrences and evaluate care improvement strategies. The main study aim was to validate hospital discharge abstract database (DAD) in recording pressure ulcers against nursing consult reports, and to calculate prevalence of pressure ulcers in Alberta, Canada in DAD. We hypothesised that a more inclusive case definition for pressure ulcers would enhance validity of cases identified in administrative data for research and quality improvement purposes. SETTING: A cohort of patients with pressure ulcers were identified from enterostomal (ET) nursing consult documents at a large university hospital in 2011. PARTICIPANTS: There were 1217 patients with pressure ulcers in ET nursing documentation that were linked to a corresponding record in DAD to validate DAD for correct and accurate identification of pressure ulcer occurrence, using two case definitions for pressure ulcer. RESULTS: Using pressure ulcer definition 1 (7 codes), prevalence was 1.4%, and using definition 2 (29 codes), prevalence was 4.2% after adjusting for misclassifications. The results were lower than expected. Definition 1 sensitivity was 27.7% and specificity was 98.8%, while definition 2 sensitivity was 32.8% and specificity was 95.9%. Pressure ulcer in both DAD and ET consultation increased with age, number of comorbidities and length of stay. CONCLUSION: DAD underestimate pressure ulcer prevalence. Since various codes are used to record pressure ulcers in DAD, the case definition with more codes captures more pressure ulcer cases, and may be useful for monitoring facility trends. However, low sensitivity suggests that this data source may not be accurate for determining overall prevalence, and should be cautiously compared with other prevalence studies.

Ethno-cultural Preferences in Receipt of Heart Health Information.

OBJECTIVE: We attempted to understand how people of South Asian and Chinese descent prefer to receive health information. METHODS: To achieve this end we conducted a search of academic and grey literature articles published between 1946 and 2016. To be included, articles had to be focused South Asian and Chinese specific ethno-culturally-based preferences of receiving health information. RESULTS: A total of 3478 abstracts were retrieved, of which, 27 articles met the inclusion criteria. We were able to identify South Asian and Chinese people's preferences for and facilitators of receiving health information. South Asians and Chinese preferred health information and programs that were more culturally relevant and appealing, had translations into South Asian and Chinese languages, and used simple terms as opposed to technical jargon. CONCLUSIONS: There is little direction regarding for how to tai- lor health information South Asian and Chinese ethno-cultural groups. Having evidence-based information about how South Asians and Chinese prefer to receive health information has potential to enhance patients' learning and health literacy, improve clinical outcomes, and reduce health disparities.

Association of inpatient hospital experience with patient safety indicators: a cross-sectional, Canadian study.

OBJECTIVES: There remains concern regarding the use of survey data to assess aspects of healthcare quality. The relationship between patient experience and adverse events as documented by patient safety indicators (PSIs) is a timely research topic. The objectives were to document the association of PSIs and patient experience scores, and to determine risk-adjusted odds of high experience scores versus PSI presence. SETTING AND PARTICIPANTS: From April 2011 to March 2014, 25 098 patients completed a telephone survey following discharge from 93 inpatient hospitals in Alberta, Canada. RESEARCH DESIGN: A modified version of the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) instrument was used. Surveys were linked to inpatient records and PSI presence was documented using a validated algorithm. MEASURES: Three questions about overall hospital, physician and nurse ratings were scored on an 11-point Likert scale from 0 (worst) to 10 (best). Experience was classified as high (9 or 10) versus low (0-8). Demographic/clinical differences between respondents with/without a PSI were assessed. Logistic regression examined the relationship between factors including PSI and experience ratings. RESULTS: Overall, physician and nurse care was rated high by 61.9%, 73.7% and 66.2% of respondents. 1085 patients (4.3%) had a documented PSI. Most frequent PSIs were haemorrhagic events (n=502; 2.0% of sample), events relating to obstetrics (n=373; 1.5%) and surgical-related events (n=248; 1.0%). Risk-adjusted models showed patients with PSIs had decreased odds of having high overall (OR=0.86; 95% CI 0.75 to 0.97), physician (OR=0.76; 95% CI 0.66 to 0.87) and nurse (OR=0.83; 95% CI 0.73 to 0.94) ratings. CONCLUSIONS: There is clear evidence that inpatient experience ratings are associated with PSIs, one element of quality of care. Future research, examining individual PSIs and patient experience questions, is warranted, as this may inform targeted quality improvement initiatives.