Practice Characteristics Associated with Better Implementation of Patient Self-Management Support.

BACKGROUND: Advanced primary care models emphasize patient-centered care, including self-management support (SMS). This study aimed to promote the translation of SMS into primary care practices and reported on key baseline practice characteristics that may impact SMS implementation. METHODS: Thirty-six practices in Colorado and California participated in the study from December 2013 to March 2017. Practice administrators completed a Practice Information Form describing practice characteristics. Clinicians and staff (n = 716) completed the Practice Culture Assessment and the Patient-Centered Medical Home (PCMH) Monitor. Descriptive statistics were computed to determine practice characteristics related to culture, quality improvement, level of PCMH, and SMS implementation. Field notes and key informant interviews provided contextual details about practices. Iterative qualitative analyses identified important facilitators and barriers and change capabilities around SMS implementation. RESULTS: In bivariate analyses, rural locations, fewer uncontrolled patients with diabetes, higher Medicaid or uninsured populations, underserved designation, and higher level of "PCMHness" were associated with greater reported implementation of patient SMS (all P < .05) at baseline. In the final multilevel model, specialty (FM vs mixed, P = .0081), rural location (P = .0109), and higher percent Medicaid (P < .0001) were associated with greater SMS. Practices described key facilitators (alignment, motivation, a visible champion, supporting infrastructure, and functional quality improvement and care teams) and barriers (no shared vision, no visible champion, siloed infrastructure, competing programs, turnover, and time constraints) to improving SMS delivery. CONCLUSIONS: Careful attention-and action-on key practice characteristics and context may create more favorable initial conditions for practice change efforts to improve SMS in primary care practices.

The agreement between chronic diseases reported by patients and derived from administrative data in patients undergoing joint arthroplasty.

BACKGROUND: This study examined the agreement between patient-reported chronic diseases and hospital administrative records in hip or knee arthroplasty patients in England. METHODS: Survey data reported by 676,428 patients for the English Patient Reported Outcome Measures (PROMs) programme was linked to hospital administrative data. Sensitivity and specificity of 11 patient-reported chronic diseases were estimated with hospital administrative data as reference standard. RESULTS: Specificity was high (> 90%) for all 11 chronic diseases. However, sensitivity varied by disease with the highest found for 'diabetes' (87.5%) and 'high blood pressure' (74.3%) and lowest for 'kidney disease' (18.8%) and 'leg pain due to poor circulation' (26.1%). Sensitivity was increased for diseases that were given as specific examples in the questionnaire (e.g. 'parkinson's disease' (65.6%) and 'multiple sclerosis' (69.5%), compared to 'diseases of the nervous system' (20.9%)). CONCLUSIONS: Patients can give information about the presence of chronic diseases that is consistent with chronic diseases derived from hospital administrative data if the description in the patient questionnaire is precise and if the disease is familiar to most patients and has significant impact on their life. Such patient questionnaires need to be validated before they are used for research and service evaluation projects.

Which ICD-9-CM codes should be used for bronchiolitis research?

BACKGROUND: Bronchiolitis is a common respiratory disorder in children. Although there are specific ICD-9-CM diagnosis codes for bronchiolitis, the illness is often coded using broader diagnosis codes. This creates the potential for subject misclassification if researchers rely on specific diagnosis codes when assembling retrospective cohorts. Here we challenge the common research practice of relying on specific diagnosis codes for bronchiolitis. METHODS: We examined the use of diagnosis codes for the first episode of bronchiolitis, bronchitis, acute asthma, and bronchospasm and wheezing, in children younger than six and 24 months in the State of California Medic-Aid database. We categorized codes as narrow or broad diagnosis codes. We compared patient, geographic, and temporal characteristics of the different diagnoses codes. RESULTS: We identified visits from 48,732 children for first episode of wheezing illness. We retained 48,269 who had the diagnosis codes and data of interest. Diagnosis codes for acute asthma were widely used, even in children younger than six months in whom a diagnosis code for bronchiolitis would have been anticipated. The temporal pattern was similar across all diagnoses. Antipyretics were prescribed more often in those with diagnosis codes for bronchiolitis and bronchitis. Other statistically significant differences were too small to usefully distinguish the groups. There was substantial geographic variability in the diagnosis codes selected. CONCLUSION: Users of Medic-Aid administrative data should generally favor broad rather than narrow definitions of bronchiolitis and should perform sensitivity analysis comparing broad and narrow definitions.

Impact of scribes on emergency department patient throughput one year after implementation.

OBJECTIVES: Assess the impact of scribes on an academic emergency department's (ED) throughput one year after implementation. METHODS: A prospective cohort design compared throughput metrics of patients managed when scribes were and were not a part of the treatment team during pre-defined study hours in a tertiary academic ED with both an adult and pediatric ED. An alternating-day pattern one year following scribe implementation ensured balance between the scribe and non-scribe groups in time of day, day of week, and patient complexity. RESULTS: Adult: Overall length of stay (LOS) was essentially the same in both groups (214 vs. 215min, p=0.34). In area A where staffing includes an attending and residents, scribes made a significant impact in treatment room time in the afternoon (190 vs 179min, p=0.021) with an increase in patients seen per hour on scribed days (2.00 vs. 2.13). There was no statistically significant changes in throughput metrics in area B staffed by an attending and a nurse practitioner/physician assistant, however scribed days did average more patients per hour (2.01 vs. 2.14). Pediatric: All throughput measurements were significantly longer when the treatment team had a scribe; however, patients per hour increased from 2.33 to 2.49 on scribed days. CONCLUSIONS: Overall patient throughput was not enhanced by scribes. Certain areas and staffing combinations yielded improvements in treatment room and door to provider time, however, scribes appear to have enabled attending physicians to see more patients per hour. This effect varied across treatment areas and times of day.

Adoption of Electronic Personal Health Records in Canada: Perceptions of Stakeholders.

BACKGROUND: Healthcare stakeholders have a great interest in the adoption and use of electronic personal health records (ePHRs) because of the potential benefits associated with them. Little is known, however, about the level of adoption of ePHRs in Canada and there is limited evidence concerning their benefits and implications for the healthcare system. This study aimed to describe the current situation of ePHRs in Canada and explore stakeholder perceptions regarding barriers and facilitators to their adoption. METHODS: Using a qualitative descriptive study design, we conducted semi-structured phone interviews between October 2013 and February 2014 with 35 individuals from seven Canadian provinces. The participants represented six stakeholder groups (patients, ePHR administrators, healthcare professionals, organizations interested in health technology development, government agencies, and researchers). A detailed summary of each interview was created and thematic analysis was conducted. RESULTS: We observed that there was no consensual definition of ePHR in Canada. Factors that could influence ePHR adoption were related to knowledge (confusion with other electronic medical records [EMRs] and lack of awareness), system design (usability and relevance), user capacities and attitudes (patient health literacy, education and interest, support for professionals), environmental factors (government commitment, targeted populations) and legal and ethical issues (information control and custody, confidentiality, privacy and security). CONCLUSION: ePHRs are slowly entering the Canadian healthcare landscape but provinces do not seem well-prepared for the implementation of this type of record. Guidance is needed on critical issues regarding ePHRs, such as ePHR definition, data ownership, access to information and interoperability with other electronic health records (EHRs). Better guidance on these issues would provide a greater awareness of ePHRs and inform stakeholders including clinicians, decision-makers, patients and the public. In turn, it may facilitate their adoption in the country.

Knowledge and utilization of Information Technology among health care professionals and students in Ile-Ife, Nigeria: a case study of a university teaching hospital.

BACKGROUND: The computer revolution and Information Technology (IT) have transformed modern health care systems in the areas of communication, teaching, storage and retrieval of medical information. These developments have positively impacted patient management and the training and retraining of healthcare providers. Little information is available on the level of training and utilization of IT among health care professionals in developing countries. OBJECTIVES: To assess the knowledge and utilization pattern of information technology among health care professionals and medical students in a university teaching hospital in Nigeria. METHODS: Self-structured pretested questionnaires that probe into the knowledge, attitudes and utilization of computers and IT were administered to a randomly selected group of 180 health care professionals and medical students. Descriptive statistics on their knowledge, attitude and utilization patterns were calculated. RESULTS: A total of 148 participants (82%) responded, which included 60 medical students, 41 medical doctors and 47 health records staff. Their ages ranged between 22 and 54 years. Eighty respondents (54%) reportedly had received some form of computer training while the remaining 68 (46%) had no training. Only 39 respondents (26%) owned a computer while the remaining 109 (74%) had no computer. In spite of this a total of 28 respondents (18.9%) demonstrated a good knowledge of computers while 87 (58.8%) had average knowledge. Only 33 (22.3%) showed poor knowledge. Fifty-nine respondents (39.9%) demonstrated a good attitude and good utilization habits, while in 50 respondents (33.8%) attitude and utilization habits were average and in 39 (26.4%) they were poor. While 25% of students and 27% of doctors had good computer knowledge (P=.006), only 4.3% of the records officers demonstrated a good knowledge. Forty percent of the medical students, 54% of the doctors and 27.7% of the health records officers showed good utilization habits and attitudes (P=.01) CONCLUSION: Only 26% of the respondents possess a computer, and only a small percentage of the respondents demonstrated good knowledge of computers and IT, hence the suboptimal utilization pattern. The fact that the health records officers by virtue of their profession had better training opportunities did not translate into better knowledge and utilization habits, hence the need for a more structured training, one which would form part of the curriculum. This would likely have more impact on the target population than ad hoc arrangements.

A national comparison of health information management students' career expectations and anticipated involvement in professional activities.

The aim of this paper is to present the results of a survey of Australian health information management students relating to their career aspirations and expectations and anticipated involvement in professional activities following graduation. To explain reasons for the differences in results between states and student years, interviews were conducted with academic staff and other health information management educators. Three hundred and sixty three students completed the questionnaire in 1996, which represented a response rate of 86%. It was found that the majority of students thought they had made the correct career choice and were confident they would find full-time employment within six months of graduation. A high percentage of students also indicated that they would undertake continuing education after graduation. There was less support for involvement in the activities of their professional association, particularly at a national level. Students in New South Wales and Queensland indicated that they would be significantly less likely to work in the field of health information management for the rest of their careers. They also reported they would be significantly less likely to conduct research in an area related to health information management. Victorian students were significantly more likely to present a paper at a conference than students from Queensland, New South Wales or Western Australia. Western Australian students were significantly more likely to report that they would undertake postgraduate studies compared to students from the other three states.

A profile of the health information manager: a comparison between two states in Australia.

The aim of this paper is to present a profile and comparison of demographic, educational and work characteristics of health information managers working in public hospitals in New South Wales and Victoria. A cross-sectional survey was designed to collect data from a sample of 141 health information managers (HIMs) from 41 NSW public hospitals and 165 HIMs from 30 Victorian public hospitals. Before analysis the data were split into responses from 'managerial HIMs' and 'coder HIMs' to reflect the differences in their respective roles. The results showed that public hospital HIMs are predominantly female, young and mobile. Differences in employment and education between managerial and coder HIMs are presented, as are significant differences between public hospital HIMs in NSW and Victoria. Casemix-based funding and computerisation of clinical information are considered to be the main drivers of change to the role of the HIM.

A glimpse into the future: a survey of the expectations and ambitions of Australian health information management students.

The future of the health information management profession is largely dependent on the ability of educational programs to attract high-caliber students who have a clear understanding of their future career when entering their course and who aspire to become active members of the profession after graduation. A sample of Australian health information management students was surveyed to obtain information about satisfaction with their career choice, employment options, and intended involvement in professional and postgraduate education activities. The survey looked for differences between the responses of students at different stages of their courses and changes in student responses over time. The majority of students believed that they had made the correct career choice. There was a general preference for nontraditional health information management employment positions on graduation and a strong commitment to professional involvement and postgraduate education. Significant differences in some questionnaire responses were found among the student groups. Students' responses to questionnaire items about their future careers were less likely to change compared with other questionnaire items. Implications of the results for the health information management profession and educational institutions are discussed.