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Services Research (services + research)
Kinds of Services Research Selected AbstractsHealth Services Research in 2020: Data and Methods Needs for the FutureHEALTH SERVICES RESEARCH, Issue 5p2 2010Patricia Pittman First page of article [source] A Report from The Coalition for Health Services Research: "Health Reform: What It Means for Health Services Research"HEALTH SERVICES RESEARCH, Issue 3 2010Article first published online: 3 MAY 2010 No abstract is available for this article. [source] Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and TheoryHEALTH SERVICES RESEARCH, Issue 4 2007Elizabeth H. Bradley Objective. To provide practical strategies for conducting and evaluating analyses of qualitative data applicable for health services researchers. Data Sources and Design. We draw on extant qualitative methodological literature to describe practical approaches to qualitative data analysis. Approaches to data analysis vary by discipline and analytic tradition; however, we focus on qualitative data analysis that has as a goal the generation of taxonomy, themes, and theory germane to health services research. Principle Findings. We describe an approach to qualitative data analysis that applies the principles of inductive reasoning while also employing predetermined code types to guide data analysis and interpretation. These code types (conceptual, relationship, perspective, participant characteristics, and setting codes) define a structure that is appropriate for generation of taxonomy, themes, and theory. Conceptual codes and subcodes facilitate the development of taxonomies. Relationship and perspective codes facilitate the development of themes and theory. Intersectional analyses with data coded for participant characteristics and setting codes can facilitate comparative analyses. Conclusions. Qualitative inquiry can improve the description and explanation of complex, real-world phenomena pertinent to health services research. Greater understanding of the processes of qualitative data analysis can be helpful for health services researchers as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines. [source] Application of Regression-Discontinuity Analysis in Pharmaceutical Health Services ResearchHEALTH SERVICES RESEARCH, Issue 2 2006Ilene H. Zuckerman Objective. To demonstrate how a relatively underused design, regression-discontinuity (RD), can provide robust estimates of intervention effects when stronger designs are impossible to implement. Data Sources/Study Setting. Administrative claims from a Mid-Atlantic state Medicaid program were used to evaluate the effectiveness of an educational drug utilization review intervention. Study Design. Quasi-experimental design. Data Collection/Extraction Methods. A drug utilization review study was conducted to evaluate a letter intervention to physicians treating Medicaid children with potentially excessive use of short-acting ,2 -agonist inhalers (SAB). The outcome measure is change in seasonally-adjusted SAB use 5 months pre- and postintervention. To determine if the intervention reduced monthly SAB utilization, results from an RD analysis are compared to findings from a pretest,posttest design using repeated-measure ANOVA. Principal Findings. Both analyses indicated that the intervention significantly reduced SAB use among the high users. Average monthly SAB use declined by 0.9 canisters per month (p<.001) according to the repeated-measure ANOVA and by 0.2 canisters per month (p<.001) from RD analysis. Conclusions. Regression-discontinuity design is a useful quasi-experimental methodology that has significant advantages in internal validity compared to other pre,post designs when assessing interventions in which subjects' assignment is based on cutoff scores for a critical variable. [source] Health Services Research: Critical Measurement IssuesHEALTH SERVICES RESEARCH, Issue 5p2 2005MBA Acting Director, Shirley Meehan Ph.D., VA HSR&D No abstract is available for this article. [source] Measurement in Veterans Affairs Health Services Research: Veterans as a Special PopulationHEALTH SERVICES RESEARCH, Issue 5p2 2005Robert O. Morgan Objective. To introduce this supplemental issue on measurement within health services research by using the population of U.S. veterans as an illustrative example of population and system influences on measurement quality. Principal Findings. Measurement quality may be affected by differences in demographic characteristics, illness burden, psychological health, cultural identity, or health care setting. The U.S. veteran population and the VA health system represent a microcosm in which a broad range of measurement issues can be assessed. Conclusions. Measurement is the foundation on which health decisions are made. Poor measurement quality can affect both the quality of health care decisions and decisions about health care policy. The accompanying articles in this issue highlight a subset of measurement issues that have applicability to the broad community of health services research. It is our hope that they stimulate a broad discussion of the measurement challenges posed by conducting "state-of-the-art" health services research. [source] Institutional Review Boards and Multisite Studies in Health Services Research: Is There a Better Way?HEALTH SERVICES RESEARCH, Issue 1 2005Jennifer L. Gold Objective. The following paper examines the issue of whether the current system for ethics review of multisite health services research protocols is adequate, or whether there exist alternative methods that should be considered. Principal Findings. (1) Investigators at different sites in a multisite project often have very different experiences with respect to the requirements and requests of the review board. Other problems include the waste of time and resources spent on document preparation for review boards, and delays in the commencement of research activities. (2) There are several possible reasons why there is variability in ethics review. These include the absence of standardized forms, differences in the background and experiences of board members, the influence of institutional or professional culture, and regional thinking. (3) Given the limited benefits derived from the variability in recommendations of multiple boards and the numerous problems encountered in seeking ethics approval from multiple boards suggest that some sort of reform is in order. Conclusions. The increasing number of multisite, health services research studies calls for a centralized system of ethics review. The local review model is simply not conducive to multisite studies, and jeopardizes the integrity of the research process. Centralized multisite review boards, together with standardized documents and procedure, electronic access to documentation, and training for board members are all possible solutions. Changes to the current system are necessary not only to facilitate the conduct of multisite research, but also to preserve the integrity of the ethics approval process in general. [source] Global Health Services Research: Challenging the FutureHEALTH SERVICES RESEARCH, Issue 6p2 2004C. Ross Anthony First page of article [source] Guest Editors' Introduction: In Pursuit of the Social Determinants of Health: The Evolution of Health Services ResearchHEALTH SERVICES RESEARCH, Issue 6p2 2003Article first published online: 18 DEC 200 First page of article [source] Strengthening the Health Services Research to Reduce Racial and Ethnic Disparities in Health careHEALTH SERVICES RESEARCH, Issue 5 2003Carolyn M. Clancy First page of article [source] Health Services Research: An Evolving Definition of the FieldHEALTH SERVICES RESEARCH, Issue 1 2002Article first published online: 18 MAR 200 [source] Interview with a Quality Leader,Karen Davis, Executive Director of The Commonwealth FundJOURNAL FOR HEALTHCARE QUALITY, Issue 2 2009Lecia A. Albright Dr. Davis is a nationally recognized economist, with a distinguished career in public policy and research. Before joining the Fund, she served as chairman of the Department of Health Policy and Management at The Johns Hopkins School of Public Health, where she also held an appointment as professor of economics. She served as deputy assistant secretary for health policy in the Department of Health and Human Services from 1977 to 1980, and was the first woman to head a U.S. Public Health Service agency. Before her government career, Ms. Davis was a senior fellow at the Brookings Institution in Washington, DC; a visiting lecturer at Harvard University; and an assistant professor of economics at Rice University. A native of Oklahoma, she received her PhD in economics from Rice University, which recognized her achievements with a Distinguished Alumna Award in 1991. Ms. Davis is the recipient of the 2000 Baxter-Allegiance Foundation Prize for Health Services Research. In the spring of 2001, Ms. Davis received an honorary doctorate in human letters from John Hopkins University. In 2006, she was selected for the Academy Health Distinguished Investigator Award for significant and lasting contributions to the field of health services research in addition to the Picker Award for Excellence in the Advancement of Patient Centered Care. Ms. Davis has published a number of significant books, monographs, and articles on health and social policy issues, including the landmark books HealthCare Cost Containment, Medicare Policy, National Health Insurance: Benefits, Costs, and Consequences, and Health and the War on Poverty. She serves on the Board of Visitors of Columbia University, School of Nursing, and is on the Board of Directors of the Geisinger Health System. She was elected to the Institute of Medicine (IOM) in 1975; has served two terms on the IOM governing Council (1986,90 and 1997,2000); was a member of the IOM Committee on Redesigning Health Insurance Benefits, Payment and Performance Improvement Programs; and was awarded the Adam Yarmolinsky medal in 2007 for her contributions to the mission of the Institute of Medicine. She is a past president of the Academy Health (formerly AHSRHP) and an Academy Health distinguished fellow, a member of the Kaiser Commission on Medicaid and the Uninsured, and a former member of the Agency for Healthcare Quality and Research National Advisory Committee. She also serves on the Panel of Health Advisors for the Congressional Budget Office. [source] An algorithm to identify antidepressant users with a diagnosis of depression from prescription dataPHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 1 2009Helga Gardarsdottir PharmD Abstract Purpose Antidepressants are used for many indications besides depression. This makes investigating depression treatment outcomes in prescription databases problematic when the indication is unknown. The aim of our study is to develop an algorithm to identify antidepressant drug users from prescription data that suffer from depression. Methods Data for deriving the algorithm were obtained from the Second Dutch National Survey of General Practice, carried out in 2001 by The Netherlands Institute for Health Services Research (NIVEL), and for validation the Integrated Primary Care Information (IPCI) database was used. Both sets included adults receiving their first antidepressant drug in 2001 (n,=,1855 and 3321, respectively). The outcome was a registered diagnosis of depression. Covariates investigated for developing the algorithm were patient and prescribing characteristics, and co-medication. Results The predictive algorithm included age, SSRI prescribed on the index date, prescribed dose, general practitioner as prescriber and the number of antidepressant prescriptions prescribed plus medication for treating acid related disorders, laxatives, cardiac therapy or hypnotics/sedatives prescribed in the 6 months prior to index date. The probability that the algorithm correctly identified an antidepressant drug user as having a depression diagnosis was 79% with a sensitivity of 79.6% and a specificity of 66.9%. Conclusion In conclusion, we developed and validated an algorithm that can be used to compose cohorts of patients treated with antidepressants for depression from prescription databases. Copyright © 2008 John Wiley & Sons, Ltd. [source] Latest news and product developmentsPRESCRIBER, Issue 14 2007Article first published online: 19 OCT 200 Studies suggest risk of bone loss with SSRIs Two cross-sectional studies have suggested the SSRI antidepressants may be associated with an increased risk of bone loss (Arch Intern Med 2007;167:1240,5 &1246,51). In 2722 older women (mean age 79) living in the community who were participating in the Study of Osteoporotic Fractures cohort study, use of SSRIs was associated with a significant increase in the rate of loss of hip bone density compared with nonusers(0.82 vs 0.47 per cent per year). The rate of loss among women taking a tricyclic antidepressant was also 0.47 per cent per year. Excluding women with more severe depression did not alter the findings. In 5995 men aged 65 or older taking an SSRI in another study, mean bone density was 3.9 per cent lower at the hip and 5.9 per cent lower in the lumbar spine compared with no use of antidepressants. Use of a tricyclic antidepressant or trazodone was not associated with increased bone loss. The authors comment that the degree of bone loss is comparable with that associated with corticosteroids. Serotonin transporters have been identified in osteoblasts and osteocytes. Risk of rare birth defects with SSRIs Two US case-control studies have found qualified evidence that use of SSRIs during the first trimester may be associated with a small increase in the risk of rare neonatal defects (N Engl J Med 2007;356:2675,83 & 2684,92). The Slone Epidemiology Center Birth Defects Study identified 9849 infants with birth defects and 5860 without and found no significant association between SSRI use overall and defects previously attributed to SSRIs (craniosynostosis, omphalocele or heart defects). There was some evidence that sertraline and paroxetine may cause specific defects, but this was based on few cases and the absolute risk remained low. The National Birth Defects Prevention Study identified 9622 infants with major birth defects and 4092 controls. There was no significant association with heart defects but the odds of anencephaly, craniosynostosis and omphalocele were each significantly increased by a factor of 2,3. The authors say the absolute risk remains small and their findings require confirmation. UK data do not support MI link with rosiglitazone An interim analysis of a UK clinical trial of rosiglitazone (Avandia) has found no evidence that it is associated with an increased risk of myocardial infarction (N Eng J Med 2007;357:28,38). A US meta-analysis (N Engl J Med 2007;356:2457,71) recently suggested that the odds of an MI or cardiovascular (CV) death in patients taking rosiglitazone were increased by 40,60 per cent compared with controls. The UK analysis of an ongoing nonblinded trial comparing rosiglitazone plus a sulphonylurea or metformin with sulphonylurea/metformin found no significant differences in the risk of MI or CV death. The risk of heart failure was doubled in patients taking rosiglitazone. The authors comment that, with a mean follow-up of 3.75 years, they had too few data to reach a conclusive finding. Switch piroxicam users to another NSAID The European Medicines Agency has advised prescribers to switch patients who are taking oral piroxicam to another NSAID. The advice follows a reappraisal of the safety of piroxicam when the 2006 review of all nonselective NSAIDs suggested it may be associated with increased risks of GI adverse effects and serious skin reactions. The advice does not apply to topical formulations. Piroxicam should not be prescribed for acute conditions and should not be first-choice for osteoarthritis, rheumatoid arthritis and ankylosing spondylitis. The maximum dose should be 20mg per day and treatment should be reviewed after 14 days. The MHRA states there is no need for urgent action; long-term treatment should be reviewed at the next routine appointment. OTC azithromycin? The MHRA is consulting on a request by a pharmaceutical company to reschedule azithromycin to pharmacy-only status for the treatment of known or suspected Chlamydia trachomatis infection in individuals aged 16 years or older. The applicant envisages supplies being made only when a nucleic acid amplification test (NAAT) is positive. Responses should be submitted to the MHRA (www.mhra.gov.uk) by 2 August. Computers can reduce prescribing errors Computerised prescribing reduces by two-thirds the rate of medication errors associated with handwritten prescriptions, a new review has found (Health Services Research 2007; online doi:10.1111/j.1475,6773. 2007.00751.x). There was some evidence that the risk of all errors, dose errors and adverse effects were reduced by computerisation. The greatest impact was seen in settings with very high error rates (>12 per cent) associated with handwritten prescriptions. However, the studies included produced heterogeneous results and the reduction in errors in prescribing for children was not statistically significant. Furthermore, computerisation did not reduce the rate of prescribing the wrong drug. Echinacea works for colds, new study finds The herbal remedy Echinacea does reduce the risk of catching a cold, according to a new metaanalysis (Lancet Infect Dis 2007;7:473,80). In 2006, a Cochrane review found insufficient evidence to support the benefits claimed for Echinacea. The new study, which additionally included experimentally-induced infections among the 14 trials analysed, found that Echinacea reduced the odds of catching a cold by about half and reduced the average duration of a cold by 1.4 days. Though inconclusive, the possibility of publication bias and heterogeneity between the trials could not be excluded. HRT may reduce cardiovascular risk after all A subgroup analysis of the Women's Health Initiative (WHI) suggests that HRT may reduce the risk of coronary heart disease if started soon after the menopause (N Engl J Med 2007;356:2591,602). The main analysis of WHI showed no cardiovascular benefit for HRT, a finding attributed to the relatively old mean age of participants (59). In the new analysis of 1064 women aged 50,59, HRT use was associated with a significant reduction in coronary artery calcification compared with nonuse, with greater effect associated with greater adherence. Reducing BP key to avoiding heart failure An angiotensin,II receptor blocker (ARB) is no better than other antihypertensives at avoiding the development of heart failure in individuals with hypertension, say US investigators (Lancet 2007;369:2079,87). Drugs that affect the renin-angiotensin system can reduce ventricular hypertrophy and may therefore prevent the development of heart failure in patients with hypertension. This study found similar improvements in diastolic function in 384 patients with hypertension and left ventricular dysfunction randomised to valsartan (Diovan) or placebo in addition to standard antihypertensive treatment for 38 weeks. The authors conclude that blood pressure reduction, not choice of drug, is the most important factor. Copyright © 2007 Wiley Interface Ltd [source] On Being a Good Listener: Setting Priorities for Applied Health Services ResearchTHE MILBANK QUARTERLY, Issue 3 2003JONATHAN LOMAS In the last decade, explicit priority setting has become an integral part of health care systems. Indeed, there is even an International Society on Priorities in Health Care, created in 1997 (Ham 1997). Whether it is Oregon's priority ordering of symptom treatment pairs to maximize the impact of a limited Medicaid budget (Fox and Leichter 1991), England's National Institute for Clinical Excellence's assessing priorities for new therapeutic innovations in the National Health Service (Rawlins 1999), or New Zealand's setting priorities for patients' access to cardiovascular treatment (Hadorn and Holmes 1997), techniques for judging the relative worth of different health service investments abound. As these techniques are refined, the most common addition is the incorporation of public values as part of the assessment. Priority setting is increasingly seen as combining an objective assessment of costs and effects with a more subjective assessment of patient or public preferences (Lenaghan, New, and Mitchell 1996; Lomas 1997; National Institute for Clinical Excellence 2002; Stronks et al. 1997). [source] Mediating, Interactive, and Non-linear Effects in Service Quality and Satisfaction with Services ResearchCANADIAN JOURNAL OF ADMINISTRATIVE SCIENCES, Issue 2 2002Gordon Fullerton This study examines a number of different hypotheses about the relationship between service quality and satisfaction with services and some important loyalty-related consequences of these constructs. The study confirms the general position in the service quality literature that satisfaction mediates the relationship between service quality and switching intentions, advocacy intentions, and willingness to pay more for the service. In particular, satisfaction is a strong mediator of the effects of service quality on customer retention. The study also finds good support for the existence of a non-linear relationship between satisfaction and these loyalty intentions. The nature of this non-linear relationship is such that the effect of satisfaction on these loyalty-related intentions is more positive at higher levels of satisfaction than it is at lower levels of satisfaction. This is consistent with emerging findings on the nature and consequences of customer delight. Résumé Cette étude examine un certain nombre de différentes hypothèses concernant le rapport entre la qualité de service et la satisfaction des clients, et passe en revue quelques conséquences importantes des ces hypothèses qui illuminent la loyauté des consommateurs envers produits et services. L'étude confirme la validité de la théorie dominante de la qualité de service, à savoir que la satisfaction réglemente le rapport entre la qualité de service et l'intention de commuter de service, comme entre la propensité de recommander un produit ou service et la volonté de supporter un prix plus élevé pour le même service. En particulier, la satisfaction régit les standards de la qualité de service et la retention de la clientèle. L'étude confirme également l'existence d'un rapport non-linéaire entre la satisfaction et la fidelité. Ce rapport indique que l'effet de la satisfaction sur la fidélité est proportionellement plus fort à des niveaux de satisfaction plus élevé qu'à des niveaux plus bas. Cette tendance par ailleurs est conforme à d'autres études récentes sur la nature et les conséquences de la satisfaction des clients. [source] Ethical Challenges in Practice-Based Mental Health Services Research: Examples From Research With Children and FamiliesCLINICAL PSYCHOLOGY: SCIENCE AND PRACTICE, Issue 2 2008Ann F. Garland Researchers have been encouraged to improve the practical relevance and utility of their work by conducting research based on "real-world" service settings and collaborating with other stakeholders, such as service providers and consumers. Practice-based research presents multiple ethical challenges, not well addressed in the literature. We discuss ethical challenges in three general categories, derived from our experience in practice-based research on child and family services: (a) multiple roles and potentially competing demands of research and clinical care, (b) multiple potential uses of research data, and (c) policy and fiscal challenges. Suggested directions for future work are also proposed. [source] The therapeutic relationship in secondary mental health care: a conceptual review of measuresACTA PSYCHIATRICA SCANDINAVICA, Issue 4 2007J. Catty Objective: The study aimed to determine the conceptual basis of measures of the patient,professional relationship used in routine mental health services research by reviewing their face, content and construct validity. Method: A comprehensive literature search identified measures of the relationship used in mental health services research. The conceptual basis of each identified measure was identified by a review of measures' authors assessments of face, content and construct validity plus item analysis of the measures themselves. Results: The search identified 15 measures. The seven developed in psychotherapy were likely to be better validated conceptually; most were based on therapeutic alliance models. Measures developed specifically for mental health services were based on a wider range of models including global assessments of the relationship. Conclusion: Most of the better validated measures originate in psychotherapy, but there is limited evidence for their validity in general mental health services. Four measures are recommended. [source] The European Service Mapping Schedule (ESMS): development of an instrumentfor the description and classificationof mental health servicesACTA PSYCHIATRICA SCANDINAVICA, Issue 2000S. Johnson Objective: This paper describes the development of an instrument for description and classification of mental health services and for measurement of service use. Purposes to be served by the instrument include: (i) identification of gaps in the spectrum of services in a catchment area; (ii) obtaining background information which may be important to understanding why apparently similar interventions lead to different outcomes in different areas; (iii) investigating how introduction of a particular type of service influences use of other local services; and (iv) understanding the relationship between sociodemographic factors and service use. Method: The instrument was developed through meetings of an international expert panel and pilot stages in several European countries. Results: Use of the European Mapping Service Mapping Schedule (ESMS) appears feasible in several countries and allowed description and classification of the full range of services identified within each of the study catchment areas. Conclusion: The ESMS promises to fill a gap in the technology available for mental health services research. Further practical experiences of its use for a variety of purposes in a variety of settings are now needed to indicate how far the ESMS does successfully generate data which are useful to researchers and planners. [source] A System for Grouping Presenting Complaints: The Pediatric Emergency Reason for Visit ClustersACADEMIC EMERGENCY MEDICINE, Issue 8 2005MSCE, Marc H. Gorelick MD Abstract Objectives: To develop a set of chief complaint groupings for pediatric emergency department (ED) visits that is comprehensive, parsimonious, clinically sensible, and evidence-based. Methods: Investigators derived candidate chief complaint clusters and ranked them a priori into three perceived severity categories. Pediatric visits were extracted from the National Hospital Ambulatory Medical Care Survey (NHAMCS); data for years 1998 and 2000 (n= 13,186) were used for derivation and data for year 1999 (n= 5,365) were used for validation. Visits were assigned to clusters based on the recorded complaints; clusters were combined to ensure adequate numbers for analysis (minimum n= 20), and the clusters were reviewed for clinical sensibility. Resource utilization was categorized in three levels: routine (examination only), ED treatment (tests or therapy in the ED but not admitted), and admission. Area under the receiver-operating characteristic (ROC) curve (AUC) was used to demonstrate the discriminative ability of the clusters in predicting resource use. Results: There were 463 unique complaints in the derivation database; 95 (20%) had a single associated visit. Fifty-two clusters were generated; only 2.4% of complaints were classified as other. The eight most common clusters encompassed 52% of the visits. The top five were fever (11%), extremity pain/injury, vomiting, cough, and trauma (unspecified). Complaint clusters were associated with actual resource utilization: for routine care, the AUC was 0.73 (0.74 in the validation set), and for admission, the AUC was 0.77 (0.74 in the validation set). Both resource utilization and triage classification increased with increased expert severity ranking (test for trend, p < 0.001). Conclusions: The proposed Pediatric Emergency Reason for Visit Cluster (PERC) system is a comprehensive yet parsimonious, clinically sensible means of categorizing pediatric ED complaints. The PERC system's association with measures of acuity and resource utilization makes it a potentially useful tool in epidemiologic and health services research. [source] State-of-the-art methodologies in alcohol-related health services researchADDICTION, Issue 11s3 2000Harold I. Perl Many of the failures to replicate clinical findings of treatment efficacy in more realistic field and community settings can be attributed to inappropriate research designs and other methodological shortcomings. In order to increase research designers' awareness of existing methodologies that may be better suited to answer the critical questions inherent in health services research on alcohol-related issues, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) convened an expert conference with three specific goals: (1) to identify the critical issues involved in alcohol services research; (2) to develop a primer that explicated each key area; and (3) to compile the resulting primers into an accessible resource for researchers, policy makers and consumers. The 9 papers in this special supplement are the product of that conference and are organized broadly around three phases of the research process: study design and implementation, data collection and use, and the analysis and interpretation of data. A final summary paper discusses the issues and offers a synthesis of key themes as well as some direction for the future. [source] Twenty-five strategies for improving the design, implementation and analysis of health services research related to alcohol and other drug abuse treatmentADDICTION, Issue 11s3 2000Michael L. Dennis While some aspects of addiction can be studied in laboratory or controlled settings, the study of long-term recovery management and the health services that support it requires going out into the community and dealing with populations and systems that are much more diverse and less under our control. This in turn raises many methodological challenges for the health service researchers studying alcohol and other drug abuse treatment. This paper identifies some of these challenges related to the design, measurement, implementation and effectiveness of health services research. It then recommends 25 strategies (and key primers) for addressing them: (1) identifying in advance all stakeholders and issues; (2) developing conceptual models of intervention and context; (3) identifying the population to whom the conclusions will be generalized; (4) matching the research design to the question; (5) conducting randomized experiments only when appropriate and necessary; (6) balancing methodological and treatment concerns; (7) prioritizing analysis plans and increasing design sensitivity, (8) combining qualitative and quantitative methods; (9) identifying the four basic types of measures needed; (10) identifying and using standardized measures; (11) carefully balancing measurement selection and modification; (12) developing and evaluating modified and new measures when necessary; (13) identifying and tracking major clinical subgroups; (14) measuring and analyzing the actual pattern of services received; (15) incorporating implementation checks into the design; (16) inc rporating baseline measures into the intervention; (17) monitoring implementation and dosage as a form of quality assurance; (18) developing procedures early to facilitate tracking and follow-up of study participants; (19) using more appropriate representations of the actual experiment; (20) using appropriate and sensitive standard deviation terms; (21) partialing out variance due to design or known sources prior to estimating experimental effect sizes; (22) using dimensional, interval and ratio measures to increase sensitivity to change; (23) using path or structural equation models; (24) integrating qualitative and quantitative analysis into reporting; and (25) using quasi-experiments, economic or organizational studies to answer other likely policy questions. Most of these strategies have been tried and tested in this and other areas, but are not widely used. Improving the state of the art of health services research and bridging the gap between research and practice do not depend upon using the most advanced methods, but rather upon using the most appropriate methods. [source] Assessing program fidelity in substance abuse health services researchADDICTION, Issue 11s3 2000Robert G. Orwin This paper addresses how treatment fidelity and related constructs (e.g. program implementation) can be assessed in alcohol, drug abuse and mental health services research. First, it introduces definitions of fidelity and related concepts, and then describes various concepts and tools from program evaluation that have proven useful for assessing fidelity. Next, several of these are illustrated in detail through a case study of a multisite fidelity assessment in substance abuse services research: the process evaluation of the NIAAA Homeless Cooperative Agreement Program. This evaluation included analysis of implementation at the program- and participant-level, the development of scales from the individual services data to estimate intervention strength, fidelity, and "leakage" (i.e. the degree to which services intended exclusively for intervention groups were inadvertently delivered to comparison groups) and the methods with which these data were used to assess whether programs were implemented as planned. [source] Advanced Statistics:Statistical Methods for Analyzing Cluster and Cluster-randomized DataACADEMIC EMERGENCY MEDICINE, Issue 4 2002Robert L. Wears MD Abstract. Sometimes interventions in randomized clinical trials are not allocated to individual patients, but rather to patients in groups. This is called cluster allocation, or cluster randomization, and is particularly common in health services research. Similarly, in some types of observational studies, patients (or observations) are found in naturally occurring groups, such as neighborhoods. In either situation, observations within a cluster tend to be more alike than observations selected entirely at random. This violates the assumption of independence that is at the heart of common methods of statistical estimation and hypothesis testing. Failure to account for the dependence between individual observations and the cluster to which they belong can have profound implications on the design and analysis of such studies. Their p-values will be too small, confidence intervals too narrow, and sample size estimates too small, sometimes to a dramatic degree. This problem is similar to that caused by the more familiar "unit of analysis error" seen when observations are repeated on the same subjects, but are treated as independent. The purpose of this paper is to provide an introduction to the problem of clustered data in clinical research. It provides guidance and examples of methods for analyzing clustered data and calculating sample sizes when planning studies. The article concludes with some general comments on statistical software for cluster data and principles for planning, analyzing, and presenting such studies. [source] CAM-related health services research in general practice using the Eva-Med System: an example for upper respiratory tract infectionsFOCUS ON ALTERNATIVE AND COMPLEMENTARY THERAPIES AN EVIDENCE-BASED APPROACH, Issue 2006E Jeschke [source] Out-of-hospital Cardiac Arrest in Denver, Colorado: Epidemiology and OutcomesACADEMIC EMERGENCY MEDICINE, Issue 4 2010Jason S. Haukoos MD Abstract Objectives:, The annual incidence of out-of-hospital cardiac arrest (OOHCA) in the United States is approximately 6 per 10,000 population and survival remains low. Relatively little is known about the performance characteristics of a two-tiered emergency medical services (EMS) system split between fire-based basic life support (BLS) dispersed from fixed locations and hospital-based advanced life support (ALS) dispersed from nonfixed locations. The objectives of this study were to describe the incidence of OOHCA in Denver, Colorado, and to define the prevalence of survival with good neurologic function in the context of this particular EMS system. Methods:, This was a retrospective cohort study using standardized abstraction methodology. A two-tiered hospital-based EMS system for the County of Denver and 10 receiving hospitals were studied. Consecutive adult patients who experienced nontraumatic OOHCA from January 1, 2003, through December 31, 2004, were enrolled. Demographic, prehospital arrest characteristics, treatment data, and survival data using the Utstein template were collected. Good neurologic survival was defined by a Cerebral Performance Categories (CPC) score of 1 or 2. Results:, During the study period, 1,985 arrests occurred. Of these, 715 (36%) had attempted resuscitation by paramedics and constitute our study sample. The median age was 65 years (interquartile range = 52,78 years), 69% were male, 41% had witnessed arrest, 25% had bystander cardiopulmonary resuscitation (CPR) performed, and 30% had ventricular fibrillation (VF) or pulseless ventricular tachycardia (VT) as their initial rhythm. Of the 715 patients, 545 (76%) were transported to a hospital, 223 (31%) had return of spontaneous circulation (ROSC), 175 (25%) survived to hospital admission, 58 (8%) survived to hospital discharge, and 42 (6%, 95% confidence interval [CI] = 4% to 8%) had a good neurologic outcome. Conclusions:, Out-of-hospital cardiac arrest survival in Denver, Colorado, is similar to that of other United States communities. This finding provides the basis for future epidemiologic and health services research in the out-of-hospital and ED settings in our community. ACADEMIC EMERGENCY MEDICINE,2010; 17:391,398 © 2010 by the Society for Academic Emergency Medicine [source] A multidimensional conceptual framework for analysing public involvement in health services researchHEALTH EXPECTATIONS, Issue 1 2008Sandy R. Oliver BA PhD Abstract Objective To describe the development of a multidimensional conceptual framework capable of drawing out the implications for policy and practice of what is known about public involvement in research agenda setting. Background Public involvement in research is growing in western and developing countries. There is a need to learn from collective experience and a diverse literature of research, policy documents and reflective reports. Methods Systematic searches of research literature, policy and lay networks identified reports of public involvement in research agenda setting. Framework analysis, previously described for primary research, was used to develop the framework, which was then applied to reports of public involvement in order to analyse and compare these. Findings The conceptual framework takes into account the people involved; the people initiating the involvement; the degree of public involvement; the forum for exchange; and methods used for decision making. It also considers context (in terms of the research focus and the historical, geographical or institutional setting), and theoretical basis. Conclusions The framework facilitates learning across diverse experiences, whether reported in policy documents, reflections or formal research, to generate a policy- and practice-relevant overview. A further advantage is that it identifies gaps in the literature which need to be filled in order to inform future research about public involvement. [source] Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and TheoryHEALTH SERVICES RESEARCH, Issue 4 2007Elizabeth H. Bradley Objective. To provide practical strategies for conducting and evaluating analyses of qualitative data applicable for health services researchers. Data Sources and Design. We draw on extant qualitative methodological literature to describe practical approaches to qualitative data analysis. Approaches to data analysis vary by discipline and analytic tradition; however, we focus on qualitative data analysis that has as a goal the generation of taxonomy, themes, and theory germane to health services research. Principle Findings. We describe an approach to qualitative data analysis that applies the principles of inductive reasoning while also employing predetermined code types to guide data analysis and interpretation. These code types (conceptual, relationship, perspective, participant characteristics, and setting codes) define a structure that is appropriate for generation of taxonomy, themes, and theory. Conceptual codes and subcodes facilitate the development of taxonomies. Relationship and perspective codes facilitate the development of themes and theory. Intersectional analyses with data coded for participant characteristics and setting codes can facilitate comparative analyses. Conclusions. Qualitative inquiry can improve the description and explanation of complex, real-world phenomena pertinent to health services research. Greater understanding of the processes of qualitative data analysis can be helpful for health services researchers as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines. [source] Parent-Identified Barriers to Pediatric Health Care: A Process-Oriented ModelHEALTH SERVICES RESEARCH, Issue 1 2006Elisa J. Sobo Objective. To further understand barriers to care as experienced by health care consumers, and to demonstrate the importance of conjoining qualitative and quantitative health services research. Data Sources. Transcripts from focus groups conducted in San Diego with English- and Spanish-speaking parents of children with special health care needs. Study Design. Participants were asked about the barriers to care they had experienced or perceived, and their strategies for overcoming these barriers. Using elementary anthropological discourse analysis techniques, a process-based conceptual model of the parent experience was devised. Principal Findings. The analysis revealed a parent-motivated model of barriers to care that enriched our understanding of quantitative findings regarding the population from which the focus group sample was drawn. Parent-identified barriers were grouped into the following six temporally and spatially sequenced categories: necessary skills and prerequisites for gaining access to the system; realizing access once it is gained; front office experiences; interactions with physicians; system arbitrariness and fragmentation; outcomes that affect future interaction with the system. Key to the successful navigation of the system was parents' functional biomedical acculturation; this construct likens the biomedical health services system to a cultural system within which all parents/patients must learn to function competently. Conclusions. Qualitative analysis of focus group data enabled a deeper understanding of barriers to care,one that went beyond the traditional association of marker variables with poor outcomes ("what") to reveal an understanding of the processes by which parents experience the health care system ("how,""why") and by which disparities may arise. Development of such process-oriented models furthers the provision of patient-centered care and the creation of interventions, programs, and curricula to enhance such care. Qualitative discourse analysis, for example using this project's widely applicable protocol for generating experientially based models, can enhance our knowledge of the parent/patient experience and aid in the development of more powerful conceptualizations of key health care constructs. [source] Measurement in Veterans Affairs Health Services Research: Veterans as a Special PopulationHEALTH SERVICES RESEARCH, Issue 5p2 2005Robert O. Morgan Objective. To introduce this supplemental issue on measurement within health services research by using the population of U.S. veterans as an illustrative example of population and system influences on measurement quality. Principal Findings. Measurement quality may be affected by differences in demographic characteristics, illness burden, psychological health, cultural identity, or health care setting. The U.S. veteran population and the VA health system represent a microcosm in which a broad range of measurement issues can be assessed. Conclusions. Measurement is the foundation on which health decisions are made. Poor measurement quality can affect both the quality of health care decisions and decisions about health care policy. The accompanying articles in this issue highlight a subset of measurement issues that have applicability to the broad community of health services research. It is our hope that they stimulate a broad discussion of the measurement challenges posed by conducting "state-of-the-art" health services research. [source] | |||||||||||||||||||||||||||||||