Appropriateness in health care delivery: definitions,measurement and policy implications.

A major focus of the current health care debate is the notion that a substantial proportion of the health care delivered in Canada is inappropriate. There are two types of appropriateness: appropriateness of a service and appropriateness of the setting in which care is provided (i.e., inpatient v. outpatient or home care). Measuring both types objectively requires the comparison of observed patterns of care with explicit criteria for appropriate care. The few studies of appropriateness conducted in Canada have shown that inappropriate services are provided and inappropriate settings are used. Reducing inappropriate health care delivery could involve active strategies for the implementation of guidelines and better cooperation and coordination within the health care system. However, lower rates of health care delivery or even inappropriate health care will not necessarily translate into higher quality care or lower costs overall.     

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system

Background

Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC) if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on women''s use of health facilities for delivery in rural Zambia, and to compare their population impact to that of other important determinants.

Methods and Findings

Using a geographic information system (GIS), we linked national household data from the Zambian Demographic and Health Survey 2007 with national facility data from the Zambian Health Facility Census 2005 and calculated straight-line distances. Health facilities were classified by whether they provided comprehensive EmOC (CEmOC), basic EmOC (BEmOC), or limited or substandard services. Multivariable multilevel logistic regression analyses were performed to investigate the influence of distance to care and level of care on place of delivery (facility or home) for 3,682 rural births, controlling for a wide range of confounders. Only a third of rural Zambian births occurred at a health facility, and half of all births were to mothers living more than 25 km from a facility of BEmOC standard or better. As distance to the closest health facility doubled, the odds of facility delivery decreased by 29% (95% CI, 14%–40%). Independently, each step increase in level of care led to 26% higher odds of facility delivery (95% CI, 7%–48%). The population impact of poor geographic access to EmOC was at least of similar magnitude as that of low maternal education, household poverty, or lack of female autonomy.

Conclusions

Lack of geographic access to emergency obstetric care is a key factor explaining why most rural deliveries in Zambia still occur at home without skilled care. Addressing geographic and quality barriers is crucial to increase service use and to lower maternal and perinatal mortality. Linking datasets using GIS has great potential for future research and can help overcome the neglect of health system factors in research and policy. Please see later in the article for the Editors'' Summary     

Are there valid proxy measures of clinical behaviour? a systematic review

Background

Accurate measures of health professionals' clinical practice are critically important to guide health policy decisions, as well as for professional self-evaluation and for research-based investigation of clinical practice and process of care. It is often not feasible or ethical to measure behaviour through direct observation, and rigorous behavioural measures are difficult and costly to use. The aim of this review was to identify the current evidence relating to the relationships between proxy measures and direct measures of clinical behaviour. In particular, the accuracy of medical record review, clinician self-reported and patient-reported behaviour was assessed relative to directly observed behaviour.

Methods

We searched: PsycINFO; MEDLINE; EMBASE; CINAHL; Cochrane Central Register of Controlled Trials; science/social science citation index; Current contents (social & behavioural med/clinical med); ISI conference proceedings; and Index to Theses. Inclusion criteria: empirical, quantitative studies; and examining clinical behaviours. An independent, direct measure of behaviour (by standardised patient, other trained observer or by video/audio recording) was considered the 'gold standard' for comparison. Proxy measures of behaviour included: retrospective self-report; patient-report; or chart-review. All titles, abstracts, and full text articles retrieved by electronic searching were screened for inclusion and abstracted independently by two reviewers. Disagreements were resolved by discussion with a third reviewer where necessary.

Results

Fifteen reports originating from 11 studies met the inclusion criteria. The method of direct measurement was by standardised patient in six reports, trained observer in three reports, and audio/video recording in six reports. Multiple proxy measures of behaviour were compared in five of 15 reports. Only four of 15 reports used appropriate statistical methods to compare measures. Some direct measures failed to meet our validity criteria. The accuracy of patient report and chart review as proxy measures varied considerably across a wide range of clinical actions. The evidence for clinician self-report was inconclusive.

Conclusion

Valid measures of clinical behaviour are of fundamental importance to accurately identify gaps in care delivery, improve quality of care, and ultimately to improve patient care. However, the evidence base for three commonly used proxy measures of clinicians' behaviour is very limited. Further research is needed to better establish the methods of development, application, and analysis for a range of both direct and proxy measures of behaviour.     

Avoidable referrals? Analysis of 170 consecutive referrals to secondary care.

OBJECTIVE--To determine appropriateness of referrals from primary care to secondary care. DESIGN--Retrospective evaluation of appropriateness of referrals from a single-handed general practice: evaluations carried out independently by referring doctor and by second general practitioner who worked in same area and had access to similar secondary care services. SUBJECTS--168 referrals made between 1 October 1990 and 31 March 1991 and followed up for up to 12 months by matching with available information on outcome of episode of care. MAIN OUTCOME MEASURES--Appropriateness of referral and reasons for inappropriate referrals. RESULTS--110 referrals were agreed to be appropriate and 58 were considered avoidable. The reason for 32 of the inappropriate referrals was lack of resources: 10 were due to lack of information (mainly failure of hospitals to pass on information to general practitioner), nine were due to a deficient primary health care team; five were due to insufficient use of home care nurses, three were due to absence of direct access to day hospital, and five were due to lack of access to general practitioner beds or other facilities. Most of the remaining 26 avoidable referrals were because available resources had not been fully used, because recognised management plans had not been followed, or because of lack of skills to perform certain procedures. CONCLUSIONS--Many theoretically avoidable referrals were due to managers'' and politicians'' decisions about allocation of resources, but some inappropriate referrals could be avoided by assessment of general practitioners'' needs for further knowledge and skills.     

Traceable Calibration,Performance Metrics,and Uncertainty Estimates of Minirhizotron Digital Imagery for Fine-Root Measurements

Even though fine-root turnover is a highly studied topic, it is often poorly understood as a result of uncertainties inherent in its sampling, e.g., quantifying spatial and temporal variability. While many methods exist to quantify fine-root turnover, use of minirhizotrons has increased over the last two decades, making sensor errors another source of uncertainty. Currently, no standardized methodology exists to test and compare minirhizotron camera capability, imagery, and performance. This paper presents a reproducible, laboratory-based method by which minirhizotron cameras can be tested and validated in a traceable manner. The performance of camera characteristics was identified and test criteria were developed: we quantified the precision of camera location for successive images, estimated the trueness and precision of each camera''s ability to quantify root diameter and root color, and also assessed the influence of heat dissipation introduced by the minirhizotron cameras and electrical components. We report detailed and defensible metrology analyses that examine the performance of two commercially available minirhizotron cameras. These cameras performed differently with regard to the various test criteria and uncertainty analyses. We recommend a defensible metrology approach to quantify the performance of minirhizotron camera characteristics and determine sensor-related measurement uncertainties prior to field use. This approach is also extensible to other digital imagery technologies. In turn, these approaches facilitate a greater understanding of measurement uncertainties (signal-to-noise ratio) inherent in the camera performance and allow such uncertainties to be quantified and mitigated so that estimates of fine-root turnover can be more confidently quantified.     

How Much Does it Cost to Expand a Protected Area System? Some Critical Determining Factors and Ranges of Costs for Queensland

Many governments have recently gone on record promising large-scale expansions of protected areas to meet global commitments such as the Convention on Biological Diversity. As systems of protected areas are expanded to be more comprehensive, they are more likely to be implemented if planners have realistic budget estimates so that appropriate funding can be requested. Estimating financial budgets a priori must acknowledge the inherent uncertainties and assumptions associated with key parameters, so planners should recognize these uncertainties by estimating ranges of potential costs. We explore the challenge of budgeting a priori for protected area expansion in the face of uncertainty, specifically considering the future expansion of protected areas in Queensland, Australia. The government has committed to adding ～12 million ha to the reserve system, bringing the total area protected to 20 million ha by 2020. We used Marxan to estimate the costs of potential reserve designs with data on actual land value, market value, transaction costs, and land tenure. With scenarios, we explored three sources of budget variability: size of biodiversity objectives; subdivision of properties; and legal acquisition routes varying with tenure. Depending on the assumptions made, our budget estimates ranged from $214 million to $2.9 billion. Estimates were most sensitive to assumptions made about legal acquisition routes for leasehold land. Unexpected costs (costs encountered by planners when real-world costs deviate from assumed costs) responded non-linearly to inability to subdivide and percentage purchase of private land. A financially conservative approach--one that safeguards against large cost increases while allowing for potential financial windfalls--would involve less optimistic assumptions about acquisition and subdivision to allow Marxan to avoid expensive properties where possible while meeting conservation objectives. We demonstrate how a rigorous analysis can inform discussions about the expansion of systems of protected areas, including the identification of factors that influence budget variability.     

Depression screening as a quality indicator

Objective Although practice guidelines for depression screening are evidence based, with their development relying on reviews of controlled studies, their adaptation and use as quality indicators have not been subject to rigorous study. This paper will therefore review the evidence supporting this practice.Methods A rational evaluation was carried out on both controlled studies and other sources of evidence related to the technical, clinical and policy assumptions underlying the use of depression screening guidelines as quality indicators.Results 1) Technical assumptions: depression screening could be used as a quality indicator. Current information technology does not allow accurate determination of who would benefit from being screened, whether they actually were screened, or the optimal percentage that should be screened. 2) Clinical assumptions: depression screening would improve outcomes. The evidence suggests that although depression screening might increase the diagnosis of depression, depressed patients so recognised tend to be less ill, less in need of treatment, or less likely to benefit from treatment, while screening, in the absence of other interventions, does not improve outcomes. 3) Policy assumptions: depression screening should be a focus of quality improvement. However, relative to other preventative measures, depression screening is a low priority. It does not meet usual cost-effectiveness criteria. There are more robust interventions for depression (i.e. collaborative care) that could be a focus of quality improvement efforts.Conclusion Although routine depression screening may be an acceptable practice guideline, its use as a quality measure is not supported.     

The health and cost effects of substituting home care for inpatient acute care: a review of the evidence

BACKGROUND: There is much interest in reducing hospital stays by providing some health care services in patients'' homes. The authors review the evidence regarding the effects of this acute care at home (acute home care) on the health of patients and caregivers and on the social costs (public and private costs) of managing the patients'' health conditions. METHODS: MEDLINE and HEALTHSTAR databases were searched for articles using the key term "home care." Bibliographies of articles read were checked for additional references. Fourteen studies met the selection criteria (publication between 1975 and early 1998, evaluation of an acute home care program for adults, and use of a control group to evaluate the program). Of the 14, only 4 also satisfied 6 internal validity criteria (patients were eligible for home care, comparable patients in home care group and hospital care group, adequate patient sample size, appropriate analytical techniques, appropriate health measures and appropriate costing methods). RESULTS: The 4 studies with internal validity evaluated home care for 5 specific health conditions (hip fracture, hip replacement, chronic obstructive pulmonary disease [COPD], hysterectomy and knee replacement); 2 of the studies also evaluated home care for various medical and surgical conditions combined. Compared with hospital care, home care had no notable effects on patients'' or caregivers'' health. Social costs were not reported for hip fracture. They were unaffected for hip and knee replacement, and higher for COPD and hysterectomy; in the 2 studies of various conditions combined, social costs were higher in one and lower in the other. Effects on health system costs were mixed, with overall cost savings for hip fracture and higher costs for hip and knee replacement. INTERPRETATION: The limited existing evidence indicates that, compared with hospital care, acute home care produces no notable difference in health outcomes. The effects on social and health system costs appear to vary with condition. More well-designed evaluations are needed to determine the appropriate use of acute home care.     

Health resources management and physician control in a San Francisco,California, hospital.

The continued escalation in health care spending has caused money to become an increasingly limited resource, which may eventually affect the ability of health professionals to provide complete health care services. Health care payers have stressed efficiency and the appropriateness of health care measures and are putting greater financial pressures on health professionals by making them more accountable for services provided. Hospitals and physicians must take a more active role in monitoring health care delivery and work together to improve performance efficiency. Efficiency can be gained through a comprehensive program that emphasizes high-quality care and the effective use of health care resources. The Health Resource Management Program is a model for carrying out this function that integrates data analysis and physician input and education.     

Privatization and just healthcare

When advocates of insurance-privatization consider whether private insurance-dominated systems achieve justice at all, they tend to rely on an incomplete set of criteria for a just healthcare system. They also mistakenly assume that it is enough to show that justice is in principle achievable within a private insurance-dominated system. This essay offers a more complete set of criteria for a just healthcare system. It then argues that the motivational assumptions needed to make insurance-privatization at all plausible (on grounds of choice, efficiency, and quality of care) are inconsistent with the motivational assumptions needed to show that in practice a private insurance-dominated system will achieve justice. A private insurance-dominated system can be expected to satisfy the criteria for just healthcare only if (a) there is extensive and effective regulation to constrain the normal competitive behavior of private insurers or if (b) generous public funds are provided to fill the gaps in access left by the private insurance market. Yet the assumptions about the motivations and abilities of the public, regulators, and public officials needed to satisfy conditions (a) or (b) contradict the privatization advocate's explanations of how privatization will maximize efficiency, choice, and quality of care.     

PRIVATIZATION AND JUST HEALTHCARE

When advocates of insurance-privatization consider whether private insurance-dominated systems achieve justice at all, they tend to rely on an incomplete set of criteria for a just healthcare system. They also mistakenly assume that it is enough to show that justice is in principle achievable within a private insurance-dominated system. This essay offers a more complete set of criteria for a just healthcare system. It then argues that the motivational assumptions needed to make insurance-privatization at all plausible (on grounds of choice, efficiency, and quality of care) are inconsistent with the motivational assumptions needed to show that in practice a private insurance-dominated system will achieve justice. A private insurance-dominated system can be expected to satisfy the criteria for just healthcare only if (a) there is extensive and effective regulation to constrain the normal competitive behavior of private insurers or if (b) generous public funds are provided to fill the gaps in access left by the private insurance market. Yet the assumptions about the motivations and abilities of the public, regulators, and public officials needed to satisfy conditions (a) or (b) contradict the privatization advocate's explanations of how privatization will maximize efficiency, choice, and quality of care     

Making access to health care more equal: the role of general medical services.

The Resource Allocation Working Party (RAWP) recognised the need to consider both health authority and primary care services in achieving its objective. RAWP and the subsequent Advisory Group on Resource Allocation (AGRA) found (but did not publish) considerable variation in resources used by both services but could not find a clear relation between them. Statistics provided by the DHSS were used to compare spending by 80 area health authorities in 1980-1 with expenditure per head on general medical services by their corresponding family practitioner committees. There was considerable variation in the provision of resources for both services and no clear relation between the variations in spending on each service. Only 40 of the 80 areas had both health authority and family practitioner committee spending levels within 10% of "target." Subregional inequalities in resources tend to be related to variations in admission rates, which in turn are related to general practitioners'' referral behaviour. These results emphasise the importance of finding out more about inequalities in the provision of general medical services and their relation to the use of hospital services. They also suggest that RAWP''s aim of equality of opportunity of access to health care resources may be achieved only if general medical services are brought into the equation as well.     

Prioritising health services in an era of limits: the Oregon experience.

How do we decide who should receive the benefits that medical science has to offer? One approach to this decision process, that used by the state of Oregon, is described: who and what are covered, and how health care is financed and delivered, are considered. Oregon''s priorities were set on the basis of broad consensus. The objective of health care reform, it was agreed, is to improve, maintain, or restore health--not universal coverage, access to health care, or cost containment. A Health Services Commission was created to consider clinical effectiveness and, through public involvement, to attempt to integrate social values into the priority list. Oregon''s legislature can use the list to develop an overall health policy which recognises that health can be maintained only if investments in several related areas are balanced.     

Measurement of Physician-Patient Communication—A Systematic Review

Background

Effective communication with health care providers has been found as relevant for physical and psychological health outcomes as well as the patients'' adherence. However, the validity of the findings depends on the quality of the applied measures. This study aimed to provide an overview of measures of physician-patient communication and to evaluate the methodological quality of psychometric studies and the quality of psychometric properties of the identified measures.

Methods

A systematic review was performed to identify psychometrically tested instruments which measure physician-patient communication. The search strategy included three databases (EMBASE, PsycINFO, PubMed), reference and citation tracking and personal knowledge. Studies that report the psychometric properties of physician-patient communication measures were included. Two independent raters assessed the methodological quality of the selected studies with the COSMIN (COnsensus based Standards for the selection of health status Measurement INtruments) checklist. The quality of psychometric properties was evaluated with the quality criteria of Terwee and colleagues.

Results

Data of 25 studies on 20 measures of physician-patient communication were extracted, mainly from primary care samples in Europe and the USA. Included studies reported a median of 3 out of the nine COSMIN criteria. Scores for internal consistency and content validity were mainly fair or poor. Reliability and structural validity were rated mainly of fair quality. Hypothesis testing scored mostly poor. The quality of psychometric properties of measures evaluated with Terwee et al.''s criteria was rated mainly intermediate or positive.

Discussion

This systematic review identified a number of measures of physician-patient communication. However, further psychometric evaluation of the measures is strongly recommended. The application of quality criteria like the COSMIN checklist could improve the methodological quality of psychometric property studies as well as the comparability of the studies'' results.     

No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.

OBJECTIVE: To determine the effectiveness of different types of interventions in improving health professional performance and health outcomes. DATA SOURCES: MEDLINE, SCISEARCH, CINAHL and the Research and Development Resource Base in CME were searched for trials of educational interventions in the health care professions published between 1970 and 1993 inclusive. STUDY SELECTION: Studies were selected if they provided objective measurements of health professional performance or health outcomes and employed random or quasi-random allocation methods in their study designs to assign individual subjects or groups. Interventions included such activities as conferences, outreach visits, the use of local opinion leaders, audit and feedback, and reminder systems. DATA EXTRACTION: Details extracted from the studies included the study design; the unit of allocation (e.g., patient, provider, practice, hospital); the characteristics of the targeted health care professionals, educational interventions and patients (when appropriate); and the main outcome measure. DATA SYNTHESIS: The inclusion criteria were met by 102 trials. Areas of behaviour change included general patient management, preventive services, prescribing practices, treatment of specific conditions such as hypertension or diabetes, and diagnostic service or hospital utilization. Dissemination-only strategies, such as conferences or the mailing of unsolicited materials, demonstrated little or no changes in health professional behaviour or health outcome when used alone. More complex interventions, such as the use of outreach visits or local opinion leaders, ranged from ineffective to highly effective but were most often moderately effective (resulting in reductions of 20% to 50% in the incidence of inappropriate performance). CONCLUSION: There are no "magic bullets" for improving the quality of health care, but there are a wide range of interventions available that, if used appropriately, could lead to important improvements in professional practice and patient outcomes.     

Alcoholism: Earlier Diagnosis and Definition of the Problem

There are important measurements of alcoholism that are poorly understood by physicians. Professional attitudes toward alcoholic patients are often counterproductive. Americans spend about $30 billion on alcohol a year and most adults drink alcohol. Even though traditional criteria allow for recognition of the disease, diagnosis is often made late in the natural course, when intervention fails. Alcoholism is a major health problem and accounts for 10 percent of total health care costs. Still, this country''s 10 million adult alcoholics come from a pool of heavy drinkers with well defined demographic characteristics. These social, cultural and familial traits, along with subtle signs of addiction, allow for earlier diagnosis. Although these factors alone do not establish a diagnosis of alcoholism, they should alert a physician that significant disease may be imminent. Focus must be directed to these aspects of alcoholism if containment of the problem is expected.     

Spontaneous preterm labour and delivery at under 34 weeks' gestation.

The management and outcome of 242 infants delivered between 26 and 34 weeks'' gestation in an obstetrical and neonatal regional referral centre as a result of spontaneous preterm labour were recorded prospectively. Results of the survey show that the decision to intervene and delay delivery will depend on the availability of neonatal intensive care facilities. Infants likely to require intensive neonatal care should be transferred in utero to a centre with these facilities. The use of steroids reduces the mortality of preterm infants. The maximum effect occurs between 30 and 32 weeks'' gestation, and there is no benefit after 34 weeks. If the weight is over 1500 g the mode of delivery of the preterm infant presenting by the breech does not influence outcome; if under 1500 g a caesarean section improves survival over those infants born by vaginal breech delivery.     

Equity in Health Care Financing in Low- and Middle-Income Countries: A Systematic Review of Evidence from Studies Using Benefit and Financing Incidence Analyses

IntroductionHealth financing reforms in low- and middle- income countries (LMICs) over the past decades have focused on achieving equity in financing of health care delivery through universal health coverage. Benefit and financing incidence analyses are two analytical methods for comprehensively evaluating how well health systems perform on these objectives. This systematic review assesses progress towards equity in health care financing in LMICs through the use of BIA and FIA.ConclusionStudies evaluated in this systematic review indicate that health care financing in LMICs benefits the rich more than the poor but the burden of financing also falls more on the rich. There is some evidence that primary health care is pro-poor suggesting a greater investment in such services and removal of barriers to care can enhance equity. The results overall suggest that there are impediments to making health care more accessible to the poor and this must be addressed if universal health coverage is to be a reality.     

WEIGHTING HEALTH STATES AND STRONG EVALUATION*

The problem of public consultation over the allocation of health care resources is addressed by considering the role that quality of life measures, such as QALYs and the Nottingham Health Profile, could play. Such measures are typically grounded in social surveys, and as such may reflect public preferences for health care priorities. Using Charles Taylor's concepts of “weak” and “strong” evaluation, it is suggested that current quality of life measures are inadequate, insofar as they typically presuppose that survey respondents are mere “weak evaluators”, who express only inarticulate preferences. Respondents may, conversely, be understood as strong evaluators, with deeper visions of human nature and the good life informing their health preferences. Space is then created for such respondents to be asked to defend their preferences, and so be encouraged to reflect critically and publicly on the beliefs and prejudices that ground their view of health care priorities.     

Distance to Care,Facility Delivery and Early Neonatal Mortality in Malawi and Zambia

Background

Globally, approximately 3 million babies die annually within their first month. Access to adequate care at birth is needed to reduce newborn as well as maternal deaths. We explore the influence of distance to delivery care and of level of care on early neonatal mortality in rural Zambia and Malawi, the influence of distance (and level of care) on facility delivery, and the influence of facility delivery on early neonatal mortality.

Methods and Findings

National Health Facility Censuses were used to classify the level of obstetric care for 1131 Zambian and 446 Malawian delivery facilities. Straight-line distances to facilities were calculated for 3771 newborns in the 2007 Zambia DHS and 8842 newborns in the 2004 Malawi DHS. There was no association between distance to care and early neonatal mortality in Malawi (OR 0.97, 95%CI 0.58–1.60), while in Zambia, further distance (per 10 km) was associated with lower mortality (OR 0.55, 95%CI 0.35–0.87). The level of care provided in the closest facility showed no association with early neonatal mortality in either Malawi (OR 1.02, 95%CI 0.90–1.16) or Zambia (OR 1.02, 95%CI 0.82–1.26). In both countries, distance to care was strongly associated with facility use for delivery (Malawi: OR 0.35 per 10km, 95%CI 0.26–0.46). All results are adjusted for available confounders. Early neonatal mortality did not differ by frequency of facility delivery in the community.

Conclusions

While better geographic access and higher level of care were associated with more frequent facility delivery, there was no association with lower early neonatal mortality. This could be due to low quality of care for newborns at health facilities, but differential underreporting of early neonatal deaths in the DHS is an alternative explanation. Improved data sources are needed to monitor progress in the provision of obstetric and newborn care and its impact on mortality.