CAH to CAH: EHR implementation advice to critical access hospitals from peer experts and other key informants.

UNLABELLED: The US government allocated $30 billion to implement electronic health records (EHRs) in hospitals and provider practices through policy addressing Meaningful Use (MU). Most small, rural hospitals, particularly those designated as Critical Access Hospitals (CAHs), comprising nearly a quarter of US hospitals, had not implemented EHRs before. Little is known about implementation in this setting. Socio-technical factors differ between larger hospitals and CAHs, which continue to lag behind other hospitals in EHR adoption. OBJECTIVE: The main objective is to provide EHR implementation advice for CAHs from a spectrum of experts with an emphasis on recommendations from their peers at CAHs that have undertaken the process. The secondary objective is to begin to identify implementation process differences at CAHs v. larger hospitals. METHODS: We interviewed 41 experts, including 16 CAH staff members from EHR teams at 10 CAHs that recently implemented EHRs. We qualitatively analyzed the interviews to ascertain themes and implementation recommendations. RESULTS: Nineteen themes emerged. Under each theme, comments by experts provide in-depth advice on all implementation stages including ongoing optimization and use. We present comments for three top themes as ranked by number of CAH peer experts commenting - EHR System Selection, EHR Team, and Preparatory Work - and for two others, Outside Partners/Resources and Clinical Decision Support (CDS)/Knowledge Management (KM). Comments for remaining themes are included in tables. DISCUSSION: CAH experts rank the themes differently from all experts, a likely indication of the differences between hospitals. Comments for each theme indicate the specific difficulties CAHs encountered. CAH staffs have little or no EHR experience before implementation. A factor across themes is insufficient system and process knowledge, compounded by compressed implementation schedules. Increased, proactive self-education, via available outside partners and information resources, will mitigate difficulties and aid CAHs in meeting increased CDS requirements in MU Stages 2 and 3.

Randomized clinical trial of a quality improvement intervention in nursing homes.

PURPOSE: The purpose of the study was to determine if simply providing nursing facilities with comparative quality performance information and education about quality improvement would improve clinical practices and subsequently improve resident outcomes, or if a stronger intervention, expert clinical consultation with nursing facility staff, is needed. DESIGN AND METHODS: Nursing facilities (n = 113) were randomly assigned to one of three groups: workshop and feedback reports only, workshop and feedback reports with clinical consultation, and control. Minimum Data Set (MDS) Quality Indicator (QI) feedback reports were prepared and sent quarterly to each facility in intervention groups for a year. Clinical consultation by a gerontological clinical nurse specialist (GCNS) was offered to those in the second group. RESULTS: With the exception of MDS QI 27 (little or no activity), no significant differences in resident assessment measures were detected between the groups of facilities. However, outcomes of residents in nursing homes that actually took advantage of the clinical consultation of the GCNS demonstrated trends in improvements in QIs measuring falls, behavioral symptoms, little or no activity, and pressure ulcers (overall and for low-risk residents). IMPLICATIONS: Simply providing comparative performance feedback is not enough to improve resident outcomes. It appears that only those nursing homes that sought the additional intensive support of the GCNS were able to effect enough change in clinical practice to improve resident outcomes significantly.

Using telemedicine to avoid transfer of rural emergency department patients.

Access to emergency treatment in rural areas can often mean the difference between life and death. Telemedicine technologies have the potential of providing earlier diagnosis and intervention, of saving lives and of avoiding unnecessary transfers from rural hospital emergency departments to urban hospitals. This study examined the hypothetical impact of telemedicine services on patients served by the emergency departments of two rural Missouri hospitals and the potential financial impact on the affected hospitals. Of the 246 patients transferred to the hub hospital from the two facilities during 1996, 161 medical records (65.4 percent) were analyzed. Using a conservative approach, only 12 of these cases were identified as potentially avoidable transfers with the use of telemedicine. Of these 12, 5 were admitted to the hub hospital after transfer. In addition to this conservative estimate of avoidable transfers based on current availability of resources in the rural hospitals, two more aggressive scenarios were developed, based on an assumption of increased service availability in the rural hospitals. Economic multipliers were used to estimate the financial impacts on communities in each scenario. This evaluation study demonstrates the potential value of telemedicine use in rural emergency departments to patients, rural hospitals and rural communities.

An evaluation of satisfaction with telemedicine among health-care professionals.

A survey was conducted among non-doctor health-care professionals in six rural counties in Missouri. The purpose of the survey was to establish baseline data to evaluate the effect of changes in the health-care sector, especially technology changes, on the job satisfaction, career satisfaction, relationships and communication activities of health professionals. The survey included three rural counties in which integrated telecommunication and interactive video telemedicine services were being installed, but before significant activities had begun, and three comparator counties without substantial integrated telecommunications infrastructure and telemedicine services. During a one-month study period, 1108 questionnaires were distributed. The total response rate was 50.1% (n = 555). Of the respondents, 30.3% indicated that technology in health-care was having a large effect on their work, although only 18.2% indicated that telemedicine and telecommunications were having a large effect. No systematic differences were found among the health professionals in the two communities at the time telemedicine equipment was being installed.

Initial field testing of an instrument to measure: observable indicators of nursing home care quality.

The "Observable Indicators of Nursing Home Care Quality" instrument was developed as a new measure of nursing home care quality. The instrument is based on a theoretical model of quality nursing home care grounded in data from provider and consumer focus groups. The instrument was piloted in 10 Missouri nursing homes. Subsequent versions were tested in 109 Missouri and 11 Icelandic nursing homes. Content validity was established using experts. Concurrent and known groups validity was evaluated using Minimum Data Set quality indicators, survey citations, and a process of care measure. Interrater and test-retest reliabilities were calculated as well as coefficient alpha. The "Observable Indicators of Nursing Home Care Quality" instrument is a new measure that can be used by researchers, and potentially by regulators, consumers, or providers, to observe and score specific indicators of quality care following a 20- to 30-minute inspection of a nursing home.

Setting thresholds for quality indicators derived from MDS data for nursing home quality improvement reports: an update.

BACKGROUND: Determining meaningful thresholds to reinforce excellent performance and flag potential problem areas in nursing home care is critical for preparing reports for nursing homes to use in their quality improvement programs. This article builds on the work of an earlier panel of experts that set thresholds for quality indicators (QIs) derived from Minimum Data Set (MDS) assessment data. Thresholds were now set for the revised MDS 2.0 two-page quarterly form and Resource Utilization Groups III (RUGS III) quarterly instrument. SETTING THRESHOLDS: In a day-long session in October 1998, panel members individually determined lower (good) and upper (poor) threshold scores for each QI, reviewed statewide distributions of MDS QIs, and completed a follow-up Delphi of the final results. REPORTING MDS QIS FOR QUALITY IMPROVEMENT: The QI reports compiled longitudinal data for all residents in the nursing home during each quarter and cumulatively displayed data for five quarters for each QI. A resident roster was provided to the nursing home so that the quality improvement team could identify the specific residents who developed the problems defined by each QI during the last quarter. Quality improvement teams found the reports helpful and easy to interpret. SUMMARY AND CONCLUSIONS: As promised in an earlier report, to ensure that thresholds reflect current practice, research using experts in a panel to set thresholds was repeated as needed. As the MDS instrument or recommended calculations for the MDS QIs change, thresholds will be reestablished to ensure a fit with the instrument and data.

Nursing home care quality: a multidimensional theoretical model integrating the views of consumers and providers.

This exploratory study was undertaken to discover the defining dimensions of nursing home care quality from the viewpoint of consumers of nursing home care. Eleven focus groups were conducted in five Missouri communities. The seven dimensions of the consumer multidimensional model of nursing home care quality are: staff, care, family involvement, communication, environment, home, and cost. The views of consumers and families are compared with the results of a previous study of providers of nursing home services. An integrated, multidimensional theoretical model is presented for testing and evaluation. An instrument based on the model is being tested to observe and score the dimensions of nursing home care quality.

A method for identifying comparison counties: application to a rural telemedicine evaluation project.

The evaluation of telemedicine activity in rural communities is complicated by the fact that most telemedicine sites are chosen because of their existing telecommunications infrastructure and institutional relationships, not by a random selection process. In addition, it is difficult to draw conclusions about the effects of telemedicine without a careful analysis of parallel changes in communities which do not have access to telemedicine services. We have developed a method of identifying comparable counties based on an aggregate measure of health status. A set of 66 variables was collected in a previous project to develop a model to evaluate the relative health status of the population in Missouri. A stepwise regression was used to identify a subset of 15 variables that had the highest predictive value for the health status of a county. Distance measures were then used to identify six counties which were most similar to three telemedicine counties. The method can be used with any study set chosen non-randomly, to identify similar objects that can be used for comparative purposes.

Nursing home care quality: a multidimensional theoretical model.

This exploratory study was undertaken to discover the defining dimensions of nursing home care quality and to propose a conceptual model to guide nursing home quality research and the development of instruments to measure nursing home care quality. Three focus groups were conducted in three central Missouri communities. A naturalistic inductive analysis of the transcribed content was completed. Two core variables (interaction and odor) and several related concepts emerged from the data. Using the core variables, related concepts, and detailed descriptions from participants, three models of nursing home care quality emerged from the analysis: (1) a model of a nursing home with good quality care; (2) a model of a nursing home with poor quality care; and (3) a multidimensional model of nursing home care quality. The seven dimensions of the multidimensional model of nursing home care quality are: central focus, interaction, milieu, environment, individualized care, staff, and safety. To pursue quality, the many dimensions must be of primary concern to nursing homes. We are testing an instrument based on the model to observe and score the dimensions of nursing home care quality.

Effect of linking practice data to published evidence. A randomized controlled trial of clinical direct reports.

OBJECTIVES: The purpose of this study was to evaluate the effect of clinical direct reports (practice data with pertinent evidence from the literature) on dialysis modality selection for patients with end-stage renal disease. METHODS: A randomized controlled clinical trial was conducted at five dialysis centers. Five of the 10 physician participants were assigned through centralized computerized randomization to the intervention group (who received 12 center-specific clinical direct reports encouraging the consideration of peritoneal dialysis), and five were assigned to the control group, who received usual information but no similar report. One hundred fifty-two patients were eligible for monitoring. RESULTS: The number of patients allocated to peritoneal dialysis was significantly higher in the intervention group than in the control group (15.3% versus 2.4%; P = 0.044). Due to a need for transient initial hemodialysis by some patients, the percentage of patients receiving peritoneal dialysis further increased through the end of the 3-month follow-up (18.0% versus 4.9%, P = 0.041). CONCLUSIONS: There were no significant differences between the intervention and control groups in meeting patient preferences, metabolic status, and complication rates. The results of this study show that linking pertinent published evidence to actual practice data can support the implementation of practice recommendations and influence the selection of dialysis treatment for new patients.

Verifying nursing home care quality using minimum data set quality indicators and other quality measures.

Researchers, providers and government agencies have devoted time and resources to the development of a set of Quality Indicators derived from Minimum Data Set (MDS) data. Little effort has been directed toward verifying that Quality Indicators derived from MDS data accurately measure nursing home quality. Researchers at the University of Missouri-Columbia have independently verified the accuracy of QI derived from MDS data using four different methods; 1) structured participative observation, 2) QI Observation Scoring Instrument, 3) Independent Observable Indicators of Quality Instrument, and 4) survey citations. Our team was able to determine that QIs derived from MDS data did differentiate nursing homes of good quality from those of poorer quality.

Assessing contributors to cost of care in nursing homes.

In 1994 12.7% of the population was 65 and over, while 10.6% were 85 and over. Expenditures for nursing homes reached $72.3 billion in 1994 (much of which is tax-supported) accounting for 8.7% of all personal health money spent. Data from the 1993 Missouri Medicaid cost reports for 403 nursing homes were reviewed to determine differences in costs per resident day (PRD) and discover which factors most influenced these differences. Mid-sized facilities with 60-120 beds reported the lowest resident-related PRD costs. PRD expenses for aides and orderlies were higher in tax-exempt facilities, which was thought to be related to their "more altruistic" mission. Investor-owned facilities showed significantly greater administrative costs PRD, which may relate to higher administrative salaries and fancier offices. The authors suggest further study that would incorporate location, occupancy rate, quality of care, case mix, and payer mix data.

Effects of second office and hospital consulting practices of physicians on rural communities.

This research examined the prevalence of second offices and hospital consulting practices of physicians in Missouri, the characteristics of physicians participating in such practices, the change in availability of services through these practices, the characteristics of counties and hospitals involved, and the practice organization of participating physicians. The assessment of the factors was conducted within the conceptual framework of community and physician characteristics, practice form and organization, and health system resources. In 1993, 64 of the 93 nonmetropolitan counties in Missouri gained, on average, 1.3 full-time equivalent physicians through second office and hospital consulting practices. Eighteen nonmetropolitan counties lost, on average, 0.4 full-time equivalent physicians through these practices; 11 nonmetropolitan counties were not affected. The majority of physicians engaged in these two types of practices are nonprimary care specialists. Consequently, in addition to the net contribution to total physician service availability, many nonmetropolitan counties gained access locally to a wider variety of specialty services. This change in availability of physician services, not generally incorporated in decisions, needs to be considered when policy efforts are undertaken to change the spatial and specialty distribution of physicians.

Setting thresholds for MDS (Minimum Data Set) quality indicators for nursing home quality improvement reports.

BACKGROUND: Determining meaningful thresholds to reinforce excellent performance and flag potential problem areas is critical for quality improvement reports. Without thresholds, an organization may interpret its performance as superior to others because it is "better than average" and falsely assume it does not have care problems in certain areas. SETTING THRESHOLDS: The Minimum Data Set (MDS) assessment instrument is mandated for use nationwide in all nursing homes participating in Medicaid or Medicare programs. Since 1993 a research team at the University of Missouri-Columbia has been developing and testing quality indicators (QIs) derived from MDS data as a foundation for quality improvement activities. In July 1996, a cross-section of 13 clinical care personnel from nursing homes participated on an expert panel for threshold setting for QIs derived from MDS assessment data. Panel members individually determined good and poor threshold scores for each QI, reviewed statewide distributions of MDS QIs, and, two weeks later, completed a follow-up Delphi round. Three members of the research team reviewed the results of the expert panel and set the final thresholds. With thresholds established for good and poor scores, MDS QI scores are reported to a sample of Missouri nursing homes using the thresholds. CONCLUSIONS: To ensure that thresholds reflect current practice, threshold setting with another panel of experts will be repeated as needed, but at least biannually. The report format will be revised on the basis of user input, and a statewide study testing different educational support methods for quality improvement using MDS QIs is now underway.

Assessing quality of nursing home care: the foundation for improving resident outcomes.

Efforts to improve the quality of care and outcomes for nursing home residents are constantly of concern to state and federal regulators, nursing home providers, nursing home advocacy groups, and health policy researchers. The article describes a study that analyzed the quality indicators identified by the Health Care Financing Administration-sponsored Case Mix and Quality Demonstration Project using the Missouri nursing home Minimum Data Set database. The range of performance was considerable, and five of the indicators analyzed were risk adjusted to account for variation in resident acuity within facilities. Determining quality of care from assessment information that is routinely collected for nursing home residents has the potential to influence dramatically public policy decisions regarding reimbursement, recertification, and regulation and can play a vital role in improving resident outcomes.

Profitable capitation requires accurate costing.

In the name of costing accuracy, nurses are asked to track inventory use on per treatment basis when more significant costs, such as general overhead and nursing salaries, are usually allocated to patients or treatments on an average cost basis. Accurate treatment costing and financial viability require analysis of all resources actually consumed in treatment delivery, including nursing services and inventory. More precise costing information enables more profitable decisions as is demonstrated by comparing the ratio-of-cost-to-treatment method (aggregate costing) with alternative activity-based costing methods (ABC). Nurses must participate in this costing process to assure that capitation bids are based upon accurate costs rather than simple averages.

Integrated pathways for managing rural health services.

Rural providers must redefine their role in the changing health care system to include a more integrated approach to health care delivery. The rural provider must develop integrated pathways to coordinate all medical, behavior, and social services to ensure that appropriate services are available, locally or through linkages with other providers, for the population. The integrated pathway must manage care across the continuum of services and coordinate decisions occurring at the point of service.

A compilation of state activities in legislatively mandated reporting of health services data.

The health care crisis and efforts for reform have taken a variety of forms. Apparently a majority of states have decided that the federal government will develop solutions to this problem slowly, if at all, and have undertaken a variety of activities on their own to address the problem. One state response has been to mandate the collection of data related to health services in an effort to assist purchasers of health care to make more prudent buying decisions. This article contains the results of a survey conducted among the states that have legislatively mandated the collection of health-related data and presents a compilation and discussion of their activities.

Financial effect of clinical decisions: case study of a dialysis center.

The purpose of this study was to specify the financial effect of clinical decisions in a dialysis center. A consecutive sample of 14,343 outpatient hemodialysis treatments (OHD), 16,111 continuous ambulatory peritoneal dialysis (CAPD), and 4,513 chronic cycler-assisted peritoneal dialysis (CCPD) days of treatment was analyzed. An activity-based cost calculation method was applied to the analysis of alternative treatments (service bundles). The weekly cost of OHD was higher ($338 versus $241/$242), and the contribution margin (reimbursement minus total cost) of CAPD/CCPD was much greater ($.48 versus $148/$147 per patient week). Clinical decision-making had an influence on less than 6.8% of OHD and 45.4%/46.6% of CAPD/CCPD related expenses. In comparison to activity-based cost calculation, conventional methods overestimated the overhead expense of CAPD by 3-48%. This study documented that most cost control opportunities reside in the usual process of care and less can be influenced by a direct interference with the patient-physician contacts. Paying for 1 week of renal replacement (capitation) could simplify the process of reimbursement and cost tracking.

Rural hospital closures and access to services.

This article examines the implications resulting from the closure of 25 rural hospitals during 1990. The implications are evaluated by estimating travel distance and time to the nearest open hospitals. In addition, the types of services offered in the hospitals studied were measured to provide a view of potential change in access to services. The average travel distance and time to the nearest hospital after closure was 25.7 miles and 30.2 minutes, respectively. In most cases, the remaining hospitals offered a broader scope of services than did the hospitals that closed. A possible interpretation is that the hospital closures resulted in a tradeoff between breadth of services and rapid access for emergency conditions.