Robin L. Kruse

A prospective investigation of the impact of smoking bans on tobacco cessation and relapse

BACKGROUND AND OBJECTIVES To examine the long term impact of workplace smoking bans on employee smoking cessation and relapse. Over three years we studied a total of 1033 current or former smokers (intervention group) employed in smoke-free hospitals and 816 current or former smokers (comparison group) employed in non-smoke-free workplaces. The design of this natural experiment is a prospective cohort study. We randomly selected both hospitals and employees from 12 strata based on hospital size and state tobacco regulations, and sampled employees in the same communities. Main outcome measures were post-ban quit ratio and relapse rate. RESEARCH DESIGN Between groups comparisons were conducted using the Cochran-Mantel-Haenszel statistic for general association, stratified Cox proportional hazards models, and the CMH analysis of variance statistic based on ranks. McNemars test and the sign test were used to test for changes over time within each group. RESULTS Differences in the post-ban quit ratio were observed between intervention and comparison groups (p ⩽ 0.02). For employees whose bans were implemented at least seven years before survey, the post-ban quit ratio was estimated at 0.256, compared with 0.142 for employees in non-smoke-free workplaces (p = 0.02). After controlling for a variety of factors, time to quit smoking was shorter for the hospital employees (p < 0.001), with an overall relative risk of quitting of 2.3. Contrary to expectations, relapse rates were similar between the groups. CONCLUSION Employees in workplaces with smoking bans have higher rates of smoking cessation than employees where smoking is permitted, but relapse is similar between these two groups of employees. The results of this investigation have international applicability for policy makers, clinicians, employers, and employees. Countries should review smoking policies in workplaces in light of their own smoking patterns and efforts to deal with environmental tobacco smoke.

Implementing smoking bans in American hospitals: results of a national survey

OBJECTIVES To determine how well hospitals complied with the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) tobacco control standards, which required banning smoking in hospital buildings; to explore issues involved in developing and implementing smoking bans; and to ascertain the perceived success of the policies. DESIGN Postal survey conducted January through June 1994. PARTICIPANTS Stratified random sample of American hospitals surveyed by JCAHO (n = 1055). MAIN OUTCOME MEASURES Enacting smoking policies more restrictive than the JCAHO standard; the respondent’s judgment of the relative success of the hospital’s smoking policy. RESULTS More than 96% of hospitals complied with the smoking ban standard; 41.4% enacted policies that were more restrictive than required by JCAHO. Several characteristics were associated with exceeding JCAHO requirements: location in a “non-tobacco state”; having fewer than 100 beds; location in a metropolitan statistical area; having unionised employees; and having no psychiatric or substance abuse unit, favour having the same tobacco policy in psychiatry and substance abuse units as the rest of the hospital. More than 95% of respondents viewed their hospital’s policy as successful. The JCAHO requirements and concern for employees’ health were the major forces influencing hospitals to go smoke-free. Negative employee morale and lack of acceptance by visitors and patients were the most commonly cited barriers to overcome when implementing smoke-free policies. CONCLUSIONS Smoking bans were successfully implemented in American hospitals, with many restricting smoking beyond the JCAHO standard. Other industries wishing to follow hospitals’ lead would be most likely to succeed in the context of a social norm favouring a smoking ban and regulation by an outside agency.

Does hospitalization impact survival after lower respiratory infection in nursing home residents

Background:Lower respiratory infection (LRI) is the leading cause of hospitalization for nursing home residents, but hospitalization is costly and may cause complications. Objective:We sought to compare mortality and cost between episodes of LRI initially treated in the hospital versus the nursing home after controlling for illness severity and the probability of hospitalization. Design:This was a prospective cohort study of nursing home residents with LRIs. Subjects:We identified 1406 episodes of LRI in 36 nursing homes in central Missouri and the St. Louis area between August 15, 1995, and September 30, 1998. Economic analysis was restricted to 1033 episodes identified after March 31, 1997. Measures:We adjusted for the higher probability of initial hospitalization in sicker residents using measures of illness severity and a hospitalization propensity score. The propensity score was derived from a logistic regression model that included patient, physician, and facility variables. Estimated costs were attributed to initial treatment setting. Results:After controlling for the probability of hospitalization and illness severity, hospitalization was not a significant mortality predictor (odds ratio 0.89, 95% confidence interval 0.52–1.52). Mean daily cost was

Effect of Do-Not-Resuscitate Orders on Hospitalization of Nursing Home Residents Evaluated for Lower Respiratory Infections

138.24 for initial nursing home treatment and

Motivation and diabetes self-management

419.75 for the hospital. Conclusions:After controlling for illness severity and propensity for hospitalization, hospital treatment is not associated with either increased or decreased risk for mortality for nursing home residents with LRIs. For residents with low and medium mortality risk, nursing home treatment is likely to be safe and less costly.

A Diabetes Dashboard and Physician Efficiency and Accuracy in Accessing Data Needed for High-Quality Diabetes Care

(See editorial comments by Dr. Joan Teno on pp 159–160)

Issues and questions to consider in implementing secure electronic patient–provider web portal communications systems

Objective: To examine the relationship between autonomous motivation and diabetes self-care activities among individuals with diabetes. Methods: Seventy-seven individuals recruited from outpatient clinic registries (64% female, 77% Caucasian, mean age 63 years) completed measures of diabetes-related self-care (Summary of Diabetes Self-care Activities), motivation (Treatment Self-regulation Questionnaire), health literacy (Rapid Estimate of Adult Literacy in Medicine, Newest Vital Sign), health (SF-36v2), social support (Social Support Survey) and self-efficacy (Perceived Competence Scale). Results: Autonomous motivation was the only variable significantly associated with maintaining diet (p<0.0001) and blood glucose testing (p<0.04) in regression analyses. No significant associations were identified for exercise. The variable of age approached significance (p = 0.06), with older individuals being less likely to have exercised in the past week. Discussion: Individuals in this study had difficulty in maintaining self-care demands, especially exercise. Meeting recommended levels of self-care activity was challenging, even for patients with adequate levels of health literacy. Individuals with higher levels of autonomous motivation reported higher frequencies for maintaining diet and testing blood glucose, however, which supports the utility of Self-Determination Theory in promoting diabetes self-care.

Identification of ICD codes suggestive of child maltreatment

PURPOSE We compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care. METHODS We performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and “think-aloud” interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology. RESULTS The mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again. CONCLUSIONS Using a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies.

Risk factors for readmission after lower extremity procedures for peripheral artery disease

PURPOSE Patients are increasingly interested in using Internet-based technologies to communicate with their providers, schedule clinic visits, request medication refills, and view their medical records electronically. However, healthcare organizations face significant challenges in providing such highly personal and sensitive communication in an effective and user-friendly manner. METHODS Based on the literature and our experience in providing a secure web-based patient-provider communication portal in primary care clinics, a framework was developed that identifies key issues and questions to consider in implementing secure electronic patient-provider communications systems. RESULTS The framework serves to categorize the many lessons learned from our implementation process and the specific issues and questions healthcare organizations need to consider in implementing such systems related to seven areas: strategic fit and priority; selection process & implementation team; integration into communications and workflows; HIPAA issues & clinic policies; systems implementation & training; marketing & enrollment; on-going performance monitoring. CONCLUSION The framework provides a useful guide for organizations looking to implement secure electronic patient-provider communication systems.

Conducting the ACTIVE randomized trial in hospice care: keys to success.

OBJECTIVE In order to be reimbursed for the care they provide, hospitals in the United States are required to use a standard system to code all discharge diagnoses: the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9). Although ICD-9 codes specific for child maltreatment exist, they do not identify all maltreatment-related hospital and emergency department discharges. To increase the usefulness of medical data for public health surveillance of child maltreatment, this project sought to identify ICD-9 codes that are suggestive of child maltreatment. METHODS After review of the literature and discussions with experts, injuries and conditions that should raise suspicion of child maltreatment (physical or sexual abuse or neglect) were identified and a list of corresponding ICD codes was compiled. Using a statewide electronic database of hospital discharges and emergency department (ED) visits for the year 2000, visits by children assigned these ICD codes were identified, a sample of visits was selected, and medical records were reviewed to assess the circumstances of the injury or illness that led to the visit. Based on information in the medical record, the injury or illness was classified as maltreatment-related, or not. RESULTS There were 3,684 visits selected for review. Of these, 2,826 records were reviewed and classified; 1,200 (43%) records met the criteria for being maltreatment-related, 1,419 (50%) contained adequate information indicating the injury/condition was not likely maltreatment-related, and 207 (7%) records did not contain enough information to classify. Sixty-eight ICD codes had >66% of visits classified as maltreatment-related, the a priori criteria for a code to be considered suggestive of maltreatment. Codes suggestive of maltreatment include specific fractures, burns, and injuries of undetermined intent, among others. CONCLUSION Several ICD codes were found that, when used with age restrictions and other specific exclusion criteria, are suggestive of maltreatment. This information may increase the usefulness of hospital discharge data for public health surveillance of child maltreatment. PRACTICE IMPLICATIONS Use of these suggestive codes facilitates identifying conditions and injuries that are likely maltreatment-related in hospital discharge and ED visit data. When used in conjunction with ICD maltreatment-specific codes, these suggestive codes may enhance the use of medical data for monitoring child maltreatment trends.