Interventions to reduce primary care delay in cancer referral: a systematic review

Background

Reducing delay in the primary care part of the cancer care pathway is likely to improve cancer survival. Identifying effective interventions in primary care would allow action by primary healthcare professionals and local commissioners to reduce delay.

Aim

To identify interventions that reduce primary care delay in the referral of patients with cancer to secondary care.

Design and setting

Systematic review in primary care.

Method

Eight electronic databases were searched using terms for primary care, cancer, and delay. Exclusion criteria included screening and the 2-week-wait referral system. Reference lists of relevant papers were hand searched. The quality of each paper was assessed using predefined criteria, and checked by a second reviewer.

Results

Searches identified 1798 references, of which 22 papers were found to meet the criteria. Interventions concerning education, audit and feedback, decision support software and guideline use, diagnostic tools, and other specific skills training were identified. Most studies reported a positive effect on their specified outcomes, although no study measured a direct effect on reducing delay.

Conclusion

There was no evidence that any intervention directly reduced primary care delay in the diagnosis of cancer. Limited evidence suggests that complex interventions, including audit and feedback and specific skills training, have the potential to do so.     

Co-occurrence of eating disorders and alcohol use disorders in women: a meta analysis

Summary This meta analysis involved 41 studies published between January of 1985 and May of 2006, which examined the co-occurrence of eating disorders (ED) and alcohol use disorders (AUD) in women. Studies were reviewed and a quantitative synthesis of their results was carried out via the calculation of standardised effect sizes. Direction and strength of the relationships between AUD and specific disordered eating patterns were examined. Heterogeneity of reported results was also assessed and examined. Only 4 out of 41 studies reported negative associations between ED and AUD. The magnitude of the associations between eating-disordered patterns and AUD ranged from small to medium size and were statistically significant for any ED, bulimia nervosa (BN)/bulimic behavior, purging, binge eating disorder (BED) and eating disorders not otherwise specified (EDNOS). No association was found between anorexia nervosa (AN) and AUD. The magnitude of the association between BN and AUD was the most divergent across studies and those between each of BED and dietary restriction and AUD were the most consistent across studies. Reported associations of different patterns of disordered eating and AUD were generally weakest and most divergent when participants were recruited from clinical settings and strongest and most homogeneous when participants were recruited from student populations.     

A methodology for the analysis of rural primary health care delivery systems

A methodology for the analysis of rural primary health care delivery systems is presented. The basic approach is that the dynamics of rural primary health care delivery systems can be understood as an interaction between consumer and provider models. Computer modelling techniques can be used to analyze the efficiency of particular rural health care systems based on site-specific geographical data and economic data regarding the cost of gasoline and other costs to the consumer and provider. The methodology is relevant in developing countries as well as in the United States.     

Assessing cost-effectiveness in asthma care: building an economic model to study the impact of alternative intervention strategies

Expenditures for medical care services continue to rise as a proportion of the total Gross Domestic Product (GDP) in most countries. Because a large share of resources are increasingly being spent on medical care services, there is a need to more closely examine the quality, cost and efficiency of all aspects of health care delivery. One method for assessing efficiency is cost-effectiveness analysis. Many of the elements of a basic cost-effectiveness model for asthma care are available, including accepted relevant studies on societal cost-of-illness, accepted health outcomes relevant to good clinical care, and a selection of potential intervention strategies, both for prevention and control. The purpose of this paper is to illustrate how an economic approach to decision-making can be used to assess the potential impact of alternative intervention strategies for asthma care. Two case studies are developed including a new management strategy for the chronic care of stable moderate asthma and a management strategy for the early detection and prevention of childhood asthma. It is proposed that economic modeling of possible intervention strategies can serve as a useful method for determining the potential impact (in terms of cost-effectiveness) of a proposed intervention strategy well in advance of any ernpiric clinical trials. Analysis such as these may prove valuable in protecting researchers from developing intervention strategies that are clinically efficacious but cost-ineffective and, therefore, are unlikely to be adopted by providers/payers I of medical care services for asthmatics.     

Implementing the role of the primary care mental health worker: a qualitative study

BACKGROUND: Primary care mental health workers are a new role recently introduced into primary care in England to help manage patients with common mental health problems. AIM: To explore the views of GPs, primary care teams and patients on the value and development of the new role of primary care mental health workers in practice. DESIGN OF STUDY: Qualitative study. SETTING: The Heart of Birmingham Primary Care Teaching Trust in the West Midlands, UK. METHOD: Thirty-seven semi-structured interviews involving seven primary care mental health workers, 21 patients and 11 focus groups involving 38 members of primary care teams were held with six teams with a worker. Two teams asked for the worker to be removed. Six practice managers also took part in the study. RESULTS: A number of different approaches were used to implement this new role. Strategies that incorporated the views of primary care trust senior management, primary care teams and workers' views appeared most successful. Rapid access to a healthcare professional at times of stress and the befriending role of the worker were also highly valued. Workers felt that their role left them professionally isolated at times. A number of workers described tension around ownership of the role. CONCLUSION: Primary care mental health workers appear to provide a range of skills valued by patients and the primary care teams and can increase patient access and choice in this area of health care. Successful implementation strategies highlighted in this study may be generalisable to other new roles in primary care.     

Scoring systems in the intensive care unit: A compendium

Severity scales are important adjuncts of treatment in the intensive care unit (ICU) in order to predict patient outcome, comparing quality-of-care and stratification for clinical trials. Even though disease severity scores are not the key elements of treatment, they are however, an essential part of improvement in clinical decisions and in identifying patients with unexpected outcomes. Prediction models do face many challenges, but, proper application of these models helps in decision making at the right time and in decreasing hospital cost. In fact, they have become a necessary tool to describe ICU populations and to explain differences in mortality. However, it is also important to note that the choice of the severity score scale, index, or model should accurately match the event, setting or application; as mis-application, of such systems can lead to wastage of time, increased cost, unwarranted extrapolations and poor science. This article provides a brief overview of ICU severity scales (along with their predicted death/survival rate calculations) developed over the last 3 decades including several of them which has been revised accordingly.     

Cost-effectiveness of shared pharmaceutical care for older patients: RESPECT trial findings

Background

Pharmaceutical care serves as a collaborative model for medication review. Its use is advocated for older patients, although its cost-effectiveness is unknown. Although the accompanying article on clinical effectiveness from the RESPECT (Randomised Evaluation of Shared Prescribing for Elderly people in the Community over Time) trial finds no statistically significant impact on prescribing for older patients undergoing pharmaceutical care, economic evaluations are based on an estimation, rather than hypothesis testing.

Aim

To evaluate the cost-effectiveness of pharmaceutical care for older people compared with usual care, according to National Institute for Health and Clinical Excellence (NICE) reference case standards.

Methods

An economic evaluation was undertaken in which NICE reference case standards were applied to data collected in the RESPECT trial.

Results

On average, pharmaceutical care is estimated to cost an incremental £10 000 per additional quality-adjusted life year (QALY). If the NHS''s cost-effectiveness threshold is between £20 000 and £30 000 per extra QALY, then the results indicate that pharmaceutical care is cost-effective despite a lack of statistical significance to this effect. However, the statistical uncertainty surrounding the estimates implies that the probability that pharmaceutical care is not cost-effective lies between 0.22 and 0.19. Although results are not sensitive to assumptions about costs, they differ between subgroups: in patients aged >75 years pharmaceutical care appears more cost-effective for those who are younger or on fewer repeat medications.

Conclusion

Although pharmaceutical care is estimated to be cost-effective in the UK, the results are uncertain and further research into its long-term benefits may be worthwhile.     

Behavioral couples therapy (BCT) for alcohol and drug use disorders: a meta-analysis

Narrative reviews conclude that behavioral couples therapy (BCT) produces better outcomes than individual-based treatment for alcoholism and drug abuse problems (e.g., [Epstein, E. E., & McCrady, B. S. (1998). Behavioral couples treatment of alcohol and drug use disorders: Current status and innovations. Clinical Psychology Review, 18(6), 689-711; O'Farrell, T. J., & Fals-Stewart, W. (2003). Alcohol abuse. Journal of Marital and Family Therapy, 29(1), 121-146]). However, the strength and consistency of this effect favoring BCT has not been examined because a meta-analysis of BCT studies has not been reported. This meta-analysis combines multiple well controlled studies to help clarify the overall impact of BCT in the treatment of substance use disorders. A comprehensive literature search produced 12 randomized controlled trials (n=754) that were included in the final analyses. There was a clear overall advantage of including BCT compared to individual-based treatments (Cohen's d=0.54). This was true across outcome domains (frequency of use d=0.36, consequences of use d=0.52, and relationship satisfaction d=0.57). However the pattern of results varied as a function of time. BCT was superior to control conditions only in relationship satisfaction at posttreatment (d=0.64). However, at follow-up BCT was superior on all three outcome domains (frequency of use d=0.45, consequences of use d=0.50, and relationship satisfaction d=0.51). In addition to other control conditions, BCT also outperformed individual cognitive behavioral therapy without couples therapy (d=0.42). Larger sample sizes were associated with higher effect sizes (p=0.02). However, treatment dose and publication year were not related to effect size. Overall, BCT shows better outcomes than more typical individual-based treatment for married or cohabiting individuals who seek help for alcohol dependence or drug dependence problems. The benefit for BCT with low severity problem drinkers has received little attention and one study suggests its efficacy may not extend to this subgroup.     

Implementing preconception expanded carrier screening in a universal health care system: A model-based cost-effectiveness analysis

PurposeThe limited evidence available on the cost-effectiveness (CE) of expanded carrier screening (ECS) prevents its widespread use in most countries, including Italy. Herein, we aimed to estimate the CE of 3 ECS panels (ie, American College of Medical Genetics and Genomics [ACMG] Tier 1 screening, “Focused Screening,” testing 15 severe, highly penetrant conditions, and ACMG Tier 3 screening) compared with no screening, the health care model currently adopted in Italy.MethodsThe reference population consisted of Italian couples seeking pregnancy with no increased personal/familial genetic risk. The CE model was developed from the perspective of the Italian universal health care system and was based on the following assumptions: 100% sensitivity of investigated screening strategies, 77% intervention rate of at-risk couples (ARCs), and no risk to conceive an affected child by risk-averse couples opting for medical interventions.ResultsThe incremental CE ratios generated by comparing each genetic screening panel with no screening were: −14,875 ± 1,208 €/life years gained (LYG) for ACMG1S, −106,863 ± 2,379 €/LYG for Focused Screening, and −47,277 ± 1,430 €/LYG for ACMG3S. ACMG1S and Focused Screening were dominated by ACMG3S. The parameter uncertainty did not significantly affect the outcome of the analyses.ConclusionFrom a universal health care system perspective, all the 3 ECS panels considered in the study would be more cost-effective than no screening.     

Case finding of lifestyle and mental health disorders in primary care: validation of the 'CHAT' tool.

BACKGROUND: Primary care is accessible and ideally placed for case finding of patients with lifestyle and mental health risk factors and subsequent intervention. The short self-administered Case-finding and Help Assessment Tool (CHAT) was developed for lifestyle and mental health assessment of adult patients in primary health care. This tool checks for tobacco use, alcohol and other drug misuse, problem gambling, depression, anxiety and stress, abuse, anger problems, inactivity, and eating disorders. It is well accepted by patients, GPs and nurses. AIM: To assess criterion-based validity of CHAT against a composite gold standard. DESIGN OF STUDY: Conducted according to the Standards for Reporting of Diagnostic Accuracy statement for diagnostic tests. SETTING: Primary care practices in Auckland, New Zealand. METHOD: One thousand consecutive adult patients completed CHAT and a composite gold standard. Sensitivities, specificities, positive and negative predictive values, and likelihood ratios were calculated. RESULTS: Response rates for each item ranged from 79.6 to 99.8%. CHAT was sensitive and specific for almost all issues screened, except exercise and eating disorders. Sensitivity ranged from 96% (95% confidence interval [CI] = 87 to 99%) for major depression to 26% (95% CI = 22 to 30%) for exercise. Specificity ranged from 97% (95% CI = 96 to 98%) for problem gambling and problem drug use to 40% (95% CI = 36 to 45%) for exercise. All had high likelihood ratios (3-30), except exercise and eating disorders. CONCLUSION: CHAT is a valid and acceptable case-finding tool for most common lifestyle and mental health conditions.     

The outcomes of regional healthcare information systems in health care: A review of the research literature

The resulting regional healthcare information systems were expected to have effects and impacts on health care procedures, work practices and treatment outcomes. The aim is to find out how health information systems have been investigated, what has been investigated and what are the outcomes. A systematic review was carried out of the research on the regional health information systems or organizations. The literature search was conducted on four electronic Cinahl Medline, Medline/PubMed and Cochrane. The common type of study design was the survey research and case study, and the data collection was carried out via different methodologies. They found out different types of regional health information systems (RHIS). The systems were heterogeneous and were in different phases of these developments. The RHIS outcomes focused on the five main areas: flow of information, collaboration, process redesign, system usability and organization culture. The RHIS improved the clinical data access, timely information, and clinical data exchange and improvement in communication and coordination within a region between professionals but also there was inadequate access to patient relevant clinical data. There were differences in organization culture, vision and expectations of leadership and consistency of strategic plan. Nevertheless, there were widespread participation by both healthcare providers and patients.     

Computerized lifestyle intervention in routine primary health care: Evaluation of usage on provider and responder levels

Objective

The aim of this study was to evaluate the use of a computerized concept for lifestyle intervention in routine primary health care (PHC).

Methods

Nine PHC units were equipped with computers providing a lifestyle test and tailored printed advice regarding alcohol consumption and physical activity. Patients were referred by staff, and performed the test anonymously. Data were collected over a period of 1 year.

Results

During the study period 3065 tests were completed, representing 5.7% of the individuals visiting the PHC units during the period. There were great differences between the units in the number of tests performed and in the proportion of patients referred. One-fifth of the respondents scored for hazardous alcohol consumption, and one-fourth reported low levels of physical activity. The majority of respondents found the test easy to perform, and a majority of those referred to the test found referral positive.

Conclusion

The computerized test can be used for screening and intervention regarding lifestyle behaviours in PHC. Responders are positive to the test and to referral.

Practice implications

A more widespread implementation of computerized lifestyle tests could be a beneficial complement to face-to-face interventions in PHC.     

Enhancing delivery of health behaviour change interventions in primary care: a meta-synthesis of views and experiences of primary care nurses

Objective

To systematically find and synthesise qualitative studies that elicited views and experiences of nurses involved in the delivery of health behaviour change (HBC) interventions in primary care, with a focus on how this can inform enhanced delivery and adherence to a structured approach for HBC interventions.

Methods

Systematic search of five electronic databases and additional strategies to maximise identification of studies, appraisal of studies and use of meta-synthesis to develop an inductive and interpretative form of knowledge synthesis.

Results

Nine studies met the inclusion criteria. Synthesis resulted in the development of four inter-linking themes; (a) actively engaging nurses in the process of delivering HBC interventions, (b) clarifying roles and responsibilities of those involved, (c) engaging practice colleagues, (d) communication of aims and potential outcomes of the intervention.

Conclusion

The synthesis of qualitative evidence resulted in the development of a conceptual framework that remained true to the findings of primary studies. This framework describes factors that should be actively promoted to enhance delivery of and adherence to HBC interventions by nurses working in primary care.

Practice implications

The findings can be used to inform strategies for researchers, policymakers and healthcare providers to enhance fidelity and support delivery of HBC interventions.     

Accessing out-of-hours care following implementation of the GMS contract: an observational study.

BACKGROUND: There is widespread concern that the quality of out-of-hours primary care for patients with complex needs may be at risk now that the new general medical services contract (GMS) has been implemented. AIM: To explore changes in the use of out-of-hours services around the time of implementation of the new contract for patients with complex needs, using patients with cancer as an example. DESIGN OF STUDY: Longitudinal observational study. SETTING: Out-of-hours primary care provider covering Devon (adult population 900,000), UK. METHOD: Two, 1-year periods corresponding to pre- (April 2003 to March 2004) and post-contract implementation (October 2004 to September 2005) were sampled. Call rates per 1000 of the adult population (age>or=16 years) were calculated for all calls (any cause) and cancer-related calls. Anonymised outcome and process measures data were extracted. RESULTS: Although overall call rates per 1000 population had increased by 26% (185 pre-contract to 233 post-contract), the proportion of cancer-related calls remained relatively constant (2.08% versus 1.96%). Around half (56%) of these callers had advanced cancer needs (including palliative care). By post-contract, the time taken to triage had significantly increased (P<0.001). Although the proportions admitted to hospital or receiving a home visit remained constant, calls where a special message was sent by the out-of-hours clinician to the in-hours team had decreased (P<0.001). CONCLUSION: The demand for out-of-hours care for patients with cancer did not alter disproportionately after implementation of the contract. While potential quality indicators (for example, hospital admissions, home visiting rates) remained constant, potentially adverse changes to triage time and communication between out-of-hours and in-hours clinicians were observed. Quality standards and provider databases require further refinement to capture elements of care relevant to patients with complex needs.     

Feasibility of an eHealth service to support collaborative depression care: results of a pilot study

Background

Treatments and organizational changes supported by eHealth are beginning to play an important role in improving disease treatment outcome and providing cost-efficient care management. “Improvehealth.eu” is a novel eHealth service to support the treatment of patients with depressive disorder. It offers active patient engagement and collaborative care management by combining Web- and mobile-based information and communication technology systems and access to care managers.

Objectives

Our objective was to assess the feasibility of a novel eHealth service.

Methods

The intervention—the “Improvehealth.eu” service—was explored in the course of a pilot study comparing two groups of patients receiving treatment as usual and treatment as usual with eHealth intervention. We compared patients’ medication adherence and outcome measures between both groups and additionally explored usage and overall perceptions of the intervention in intervention group.

Results

The intervention was successfully implemented in a pilot with 46 patients, of whom 40 were female. Of the 46 patients, 25 received treatment as usual, and 21 received the intervention in addition to treatment as usual. A total of 55% (12/25) of patients in the former group and 45% (10/21) in the latter group finished the 6-month pilot. Available case analysis indicated an improvement of adherence in the intervention group (odds ratio [OR] = 10.0, P = .03). Intention-to-treat analysis indicated an improvement of outcome in the intervention group (ORs ranging from 0.35 to 18; P values ranging from .003 to .20), but confidence intervals were large due to small sample sizes. Average duration of use of the intervention was 107 days. The intervention was well received by 81% (17/21) of patients who reported feeling actively engaged, in control of their disease, and that they had access to a high level of information. In all, 33% (7/21) of the patients also described drawbacks of the intervention, mostly related to usability issues.

Conclusions

The results of this pilot study indicate that the intervention was well accepted and helped the patients in the course of treatment. The results also suggest the potential of the intervention to improve both medication adherence and outcome measures of treatment, including reduction of depression severity and patients becoming “healthy.”     

eHealth literacy: extending the digital divide to the realm of health information

Background

eHealth literacy is defined as the ability of people to use emerging information and communications technologies to improve or enable health and health care.

Objective

The goal of this study was to explore whether literacy disparities are diminished or enhanced in the search for health information on the Internet. The study focused on (1) traditional digital divide variables, such as sociodemographic characteristics, digital access, and digital literacy, (2) information search processes, and (3) the outcomes of Internet use for health information purposes.

Methods

We used a countrywide representative random-digital-dial telephone household survey of the Israeli adult population (18 years and older, N = 4286). We measured eHealth literacy; Internet access; digital literacy; sociodemographic factors; perceived health; presence of chronic diseases; as well as health information sources, content, search strategies, and evaluation criteria used by consumers.

Results

Respondents who were highly eHealth literate tended to be younger and more educated than their less eHealth-literate counterparts. They were also more active consumers of all types of information on the Internet, used more search strategies, and scrutinized information more carefully than did the less eHealth-literate respondents. Finally, respondents who were highly eHealth literate gained more positive outcomes from the information search in terms of cognitive, instrumental (self-management of health care needs, health behaviors, and better use of health insurance), and interpersonal (interacting with their physician) gains.

Conclusions

The present study documented differences between respondents high and low in eHealth literacy in terms of background attributes, information consumption, and outcomes of the information search. The association of eHealth literacy with background attributes indicates that the Internet reinforces existing social differences. The more comprehensive and sophisticated use of the Internet and the subsequent increased gains among the high eHealth literate create new inequalities in the domain of digital health information. There is a need to educate at-risk and needy groups (eg, chronically ill) and to design technology in a mode befitting more consumers.