The missing evidence: a systematic review of patients' experiences of adverse events in health care

PURPOSE: Preventable patient harm due to adverse events (AEs) is a significant health problem today facing contemporary health care. Knowledge of patients' experiences of AEs is critical to improving health care safety and quality. A systematic review of studies of patients' experiences of AEs was conducted to report their experiences, knowledge gaps and any challenges encountered when capturing patient experience data. DATA SOURCES: Key words, synonyms and subject headings were used to search eight electronic databases from January 2000 to February 2015, in addition to hand-searching of reference lists and relevant journals. STUDY SELECTION: Titles and abstracts of publications were screened by two reviewers and checked by a third. Full-text articles were screened against the eligibility criteria. DATA EXTRACTION: Data on design, methods and key findings were extracted and collated. RESULTS: Thirty-three publications demonstrated patients identifying a range of problems in their care; most commonly identified were medication errors, communication and coordination of care problems. Patients' income, education, health burden and marital status influence likelihood of reporting. Patients report distress after an AE, often exacerbated by receiving inadequate information about the cause. Investigating patients' experiences is hampered by the lack of large representative patient samples, data over sufficient time periods and varying definitions of an AE. CONCLUSION: Despite the emergence of policy initiatives to enhance patient engagement, few studies report patients' experiences of AEs. This information must be routinely captured and utilized to develop effective, patient-centred and system-wide policies to minimize and manage AEs.

The political economy of markets and development: a case study of health care consumption in the State of Kerala, India

Marketing theory has largely ignored the issue of power in influencing exchanges. Most of the studies either disregard the role of power, or resource power is the only dimension taken into account. In this study, we expand the existing understanding by centrally situating the role of socio-political power in the consumption process. We examine the health care system in the Indian state of Kerala and highlight that socio-political power is a crucial determinant of consumption levels. In the process, we argue that in a resource—constrained Third World society socio-political empowerment is critical to the development process.

Empirical evidence of recall bias for primary health care visits

BACKGROUND: While it is common for an economic evaluation of health care to rely on trial participants for self-reported health service utilisation, there is variability in the accuracy of this data due to potential recall bias. The aim of this study was to quantify the level of recall bias in self-reported primary health care general practitioner (GP) visits following inpatient rehabilitation over a 12 month period.

METHODS: This report is a secondary analysis from a larger randomised control trial of an economic evaluation of additional Saturday inpatient rehabilitation. Participants were adults who had been discharged into the community following admission to an acute general rehabilitation hospital. Participants were asked to recall primary health care visits, including community GP visits, via a telephone questionnaire which was administered at 6 and 12 months following discharge from inpatient rehabilitation. Participants were asked to recall health service utilisation over each preceding 6 month period. The self-reported data were compared to equivalent claims data from the national insurer, over the same period.

RESULTS: 751 participants (75% of the full trial) with a mean age of 74 years (SD 13) were included in this analysis. Over the 12 month period following discharge from rehabilitation there was an under-reporting of 14% in self-reported health service utilisation for GP visits compared to national insurer claims data over the same period. From 0 to 6 months following discharge from rehabilitation, there was an over-reporting of self-reported GP visits of 35% and from 7 to 12 months there was an under-reporting of self-reported GP visits of 36%, compared to national insurer claims data over the same period. 46% of patients reported the same or one number difference in self-reported GP visits between the 0 to 6 and the 7 to 12 month periods.

CONCLUSION: Based on these findings we recommend that an economic evaluation alongside a clinical trial for an elderly adult rehabilitation population include a sensitivity analysis that inflates self-reported GP visits by 16% over 12 months. However caution is required when utilising self-reported GP visits as the data may contain periods of both over and under reporting. Where general practitioner visits are expected to vary significantly between intervention and control groups we recommend that administrative data be included in the trial to accurately capture resources for an economic evaluation.

Development, implementation and evaluation of a clinical research engagement and leadership capacity building program in a large Australian health care service

BACKGROUND: Health professionals need to be integrated more effectively in clinical research to ensure that research addresses clinical needs and provides practical solutions at the coal face of care. In light of limited evidence on how best to achieve this, evaluation of strategies to introduce, adapt and sustain evidence-based practices across different populations and settings is required. This project aims to address this gap through the co-design, development, implementation, evaluation, refinement and ultimately scale-up of a clinical research engagement and leadership capacity building program in a clinical setting with little to no co-ordinated approach to clinical research engagement and education.

METHODS/DESIGN: The protocol is based on principles of research capacity building and on a six-step framework, which have previously led to successful implementation and long-term sustainability. A mixed methods study design will be used. Methods will include: (1) a review of the literature about strategies that engage health professionals in research through capacity building and/or education in research methods; (2) a review of existing local research education and support elements; (3) a needs assessment in the local clinical setting, including an online cross-sectional survey and semi-structured interviews; (4) co-design and development of an educational and support program; (5) implementation of the program in the clinical environment; and (6) pre- and post-implementation evaluation and ultimately program scale-up. The evaluation focuses on research activity and knowledge, attitudes and preferences about clinical research, evidence-based practice and leadership and post implementation, about their satisfaction with the program. The investigators will evaluate the feasibility and effect of the program according to capacity building measures and will revise where appropriate prior to scale-up.

DISCUSSION: It is anticipated that this clinical research engagement and leadership capacity building program will enable and enhance clinically relevant research to be led and conducted by health professionals in the health setting. This approach will also encourage identification of areas of clinical uncertainty and need that can be addressed through clinical research within the health setting.

A discrete choice experiment to examine the preferences of patients with cancer and their willingness to pay for different types of health care appointments

BACKGROUND: This study sought to understand the preferences of patients with cancer and the trade-offs between appointment attributes using discrete choice experiment (DCE). METHODS AND STUDY DESIGN: Patients with cancer at 3 hospitals completed a self-administered DCE. Each scenario described 6 attributes: expertise of health care professionals (HCPs), familiarity of doctors with patients' medical history, waiting time, accompaniment by family/friends, travel time, and out-of-pocket costs. Patient preferences were estimated using logistic regression. Willingness to pay (WTP) estimates were derived from regression coefficients. RESULTS: Of 512 patients contacted, 185 returned the questionnaire. The mean age was 61 years, and 60% of respondents were female. The mean time since cancer diagnosis was 34 months, 90% had received treatment; and 61% had early-stage disease. The most important attributes were expertise and familiarity of doctors with patients' medical history; distance traveled was least likely to influence patient preferences. The WTP analysis estimated that patients were willing to pay $680 (95% CI, 470-891) for an appointment with a specialist, $571 (95% CI, 388-754) for doctors familiar with their history, $422 (95% CI, 262-582) for shorter waiting times, $399 (95% CI, 249-549) to be accompanied by family/friends, and $301 (95% CI, 162-441) for shorter traveling times. Male patients had a stronger preference for accompaniment by family/friends. The expertise of HCP was the most important attribute for patients regardless of geographic remoteness. CONCLUSIONS: Our study can assist the development of patient-centered health care models that improve patient access to experienced HCPs, support the role of primary care providers during the cancer journey, and educate patients about the roles of non-oncology HCPs to cope with increasing demand for cancer care.

A square peg in a round hole? Approaches to incorporating lifestyle counselling into routine primary health care

Few studies have explored how lifestyle counselling can be integrated into routine practice for primary health care (PHC) clinicians working outside general practice. This paper describes the feasibility of models of lifestyle counselling developed for PHC clinicians working in community health services and the congruence with routine practice. Action research methods were used to develop and implement models of lifestyle counselling in three community health teams. Following a six-month implementation period, semi-structured interviews were conducted with a purposeful sample of participants (n = 30) to explore the appropriateness of implementing risk factor management models in practice. Models were considered appropriate if they fitted the clinician’s philosophy of practice, were relevant to existing work tasks, could easily be integrated into workflow and were perceived as being acceptable to the client. The approach to service delivery and team priorities were also important in influencing which models suited particular teams. Models of lifestyle counselling for PHC clinicians outside general practice should be tailored to the clinicians’ and teams’ way of working and thus may need to be discipline-specific. Engaging PHC clinicians and teams is important in developing models that are acceptable and feasible in everyday practice.

Child obesity prevention in primary health care: the role of practice nurses

Aim

Overweight and obesity affects approximately 20% of Australian pre-schoolers. The general practice nurse (PN) workforce has increased in recent years; however, little is known of PN capacity and potential to provide routine advice for the prevention of child obesity. This mixed methods pilot study aims to explore the current practices, attitudes, confidence and training needs of Australian PNs surrounding child obesity prevention in the general practice setting.

Methods

PNs from three Divisions of General Practice in New South Wales were invited to complete a questionnaire investigating PN roles, attitudes and practices in preventive care with a focus on child obesity. A total of 59 questionnaires were returned (response rate 22%). Semi-structured qualitative interviews were also conducted with a subsample of PNs (n = 10).

Results

Questionnaire respondent demographics were similar to that of national PN data. PNs described preventive work as enjoyable despite some perceived barriers including lack of confidence. Number of years working in general practice did not appear to strongly influence nurses' perceived barriers. Seventy per cent of PNs were interested in being more involved in conducting child health checks in practice, and 85% expressed an interest in taking part in child obesity prevention training.

Conclusions

Findings from this pilot study suggest that PNs are interested in prevention of child obesity despite barriers to practice and low confidence levels. More research is needed to determine the effect of training on PN confidence and behaviours in providing routine healthy life-style messages for the prevention of child obesity.

Explaining the variation in the management of lifestyle risk factors in primary health care: a multilevel cross sectional study

Background

Despite evidence for the effectiveness of interventions to modify lifestyle behaviours in the primary health care (PHC) setting, assessment and intervention for these behaviours remains low in routine practice. Little is known about the relative importance of various determinants of practice.

This study aimed to examine the relative importance of provider characteristics and attitudes, patient characteristics and consultation factors in determining the rate of assessment and intervention for lifestyle risk factors in PHC.

Methods

A prospective audit of assessment and intervention for lifestyle risk factors was undertaken by PHC nurses and allied health providers (n = 57) for all patients seen (n = 732) over a two week period. Providers completed a survey to assess key attitudes related to addressing lifestyle issues. Multi-level logistic regression analysis of patient audit records was undertaken. Associations between variables from both data sources were examined, together with the variance explained by patient and consultation (level 1) and provider (level 2) factors.

Results

There was significant variance between providers in the assessment and intervention for lifestyle risk factors. The consultation type and reason for the visit were the most important in explaining the variation in assessment practices, however these factors along with patient and provider variables accounted for less than 20% of the variance. In contrast, multi-level models showed that provider factors were most important in explaining the variance in intervention practices, in particular, the location of the team in which providers worked (urban or rural) and provider perceptions of their effectiveness and accessibility of support services. After controlling for provider variables, patients' socio-economic status, the reason for the visit and providers' perceptions of the 'appropriateness' of addressing risk factors in the consultation were all significantly associated with providing optimal intervention. Together, measured patient consultation and provider variables accounted for most (80%) of the variation in intervention practices between providers.

Conclusion

The findings highlight the importance of provider factors such as beliefs and attitudes, team location and work context in understanding variations in the provision of lifestyle intervention in PHC. Further studies of this type are required to identify variables that improve the proportion of variance explained in assessment practices.

Should I and Can I?: a mixed methods study of clinician beliefs and attitudes in the management of lifestyle risk factors in primary health care

Background
Primary health care (PHC) clinicians have an important role to play in addressing lifestyle risk factors for chronic diseases. However they intervene only rarely, despite the opportunities that arise within their routine clinical practice. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about this for PHC clinicians working outside general practice. The aim of this study was to explore the beliefs and attitudes of PHC clinicians about incorporating lifestyle risk factor management into their routine care and to examine whether these varied according to their self reported level of risk factor management.

Methods
A cross sectional survey was undertaken with PHC clinicians (n = 59) in three community health teams. Clinicians' beliefs and attitudes were also explored through qualitative interviews with a purposeful sample of 22 clinicians from the teams. Mixed methods analysis was used to compare beliefs and attitudes for those with high and low levels of self reported risk factor management.

Results
Role congruence, perceived client acceptability, beliefs about capabilities, perceived effectiveness and clinicians' own lifestyle were key themes related to risk factor management practices. Those reporting high levels of risk factor screening and intervention had different beliefs and attitudes to those PHC clinicians who reported lower levels.

Conclusion
PHC clinicians' level of involvement in risk factor management reflects their beliefs and attitudes about it. This provides insights into ways of intervening to improve the integration of behavioural risk factor management into routine practice.

Primary health care nurse perception and men’s expectation of the role of the primary health care nurse in providing men’s health services in the primary care setting in Victoria

 This study adds significantly to the current paucity of knowledge around men's health in Australian primary care and in particular stresses the need for men's health care education to be more reliable and systematic foundation for men's sexual health, mental health and health promotion.

Does self-efficacy mediate the cross-sectional relationship between perceived quality of health care and self-management of diabetes? Results from Diabetes MILES - Australia

OBJECTIVE: Quality of health care (QoC) and self-efficacy may affect self-management of diabetes, but such effects are not well understood. We examined the indirect role of diabetes-specific self-efficacy (DSE) and generalised self-efficacy (GSE) in mediating the cross-sectional relationship between self-reported QoC and diabetes self-management.

DESIGN: Diabetes MILES-Australia was a national survey of 3,338 adults with diabetes. We analysed data from 1,624 respondents (Age: M=52.1, SD=13.9) with type 1 (T1D; n=680) or type 2 diabetes (T2D; n=944), who responded to a version of the survey containing key measures.

MAIN OUTCOME MEASURES: Self-reported healthy eating, physical activity, self-monitoring of blood glucose frequency, HbA1c, medication/insulin adherence. RESULTS: We used Preacher and Hayes' bootstrapping method, controlling for age, gender and diabetes duration, to test mediation of DSE and GSE on the relationship of QoC with each self-management variable. We found statistically significant but trivial mediation effects of DSE and of GSE on most, but not all, variables (all effect sizes <0.06).

CONCLUSION: Support for mediation was weak, suggesting that relationships amongst these variables are small and that future research might explore other aspects of self-management in diabetes.

Population prevalence of personality disorder and associations with physical health comorbidities and health care service utilization: a review

Personality disorder (PD), outcomes of diverse comorbid physical health conditions, and the associated burden on health service resources have seldom been studied at a population level. Consequently, there is limited evidence that might inform a public health approach to managing PD and associated mental and physical disability. A review was conducted of population-based studies examining the prevalence of PD and associations between physical comorbidities and service utilization. The prevalence of any PDs were common (4.4% -21.5%) among populations spanning England, Wales, Scotland, Western Europe, Norway, Australia, and the United States. Preliminary evidence supports associations between PDs from Clusters A and B and physical comorbidities, namely cardiovascular diseases and arthritis. PD appears to increase health care utilization, particularly in primary care. In order to facilitate rational population health planning, further population studies are required.

Approaches to population health care : the emerging context!

This paper provides a review of recent developments in population-based approaches to community health and explores the origins of the population health concept and its implications for the operation of health service management. There is a growing perception among health professionals that the key to improving health outcomes will be the implementation of integrated and preventive population-based resource management rather than investment in systems that respond to crises and health problems at the acute end of the service provision spectrum only. That is, we will need increasingly to skew our community health and welfare investments towards preventive care, education, lifestyle change, self-management and environmental improvement if we are to reduce the rate of growth in the incidence of chronic disease and mitigate the impact of these diseases upon the acute health care system. While resources will still need to be devoted to the treatment and management of physical trauma, infectious diseases, inherited illness and chronic conditions, it is suggested we could reduce the rate at which demand for these services is increasing at present by managing our environment and communities better, and through the implementation of more effective early intervention programs across particular population groups. Such approaches are known generally as population health management, as opposed to individual or illness - based health management' or even public health - and suggest that health systems might productively focus in the future on population level causation and not just upon disease-specific problems or illness management after the fact. Population health approaches attempt to broaden our understanding of causation and manage health through an emphasis on the health of whole populations and by building healthy communities rather than seeing "health care" as predominantly about illness management or responses to health crises. The concept also presupposes the existence of cleaner and healthier environments, clean water and food, and the existence of vibrant social contexts in which individuals are able to work for the overall good of communities and, ultimately, of each other.

Managing health care in Australia : steps on the health care roundabout?

This paper explores some of the lessons of the coordinated care trials in Australia in the context of managed care in America and asks how do we best manage our finite health care dollars for the most equitable and effective outcomes for whole populations? The COAG trial in Australia tested a more structured process for managing the care of patients with chronic illness and postulated that currently fragmented health system funding could be pooled around individual patient need, and managed for improved economic outcomes and patient wellbeing. There is little doubt, following this initiative and much work in other countries, that as health care costs rise, for a range of reasons, improvements are needed in the management of our resources if we are to control rising health care costs. We also know that chronic illness, much of which is preventable and avoidable, is the major component in the rising health care cost equation and a factor likely to consume around 75% of our health dollars in the future. Much chronic illness can be prevented through social and population health strategies and we know that even if chronic illness can?t be prevented, it can be managed better through community-based chronic illness management programs. These programs rely on information, education, patient lifestyle and behaviour change, and on patients developing improved self-management skills. But, what is the best way to manage population health in Australia and ensure equity and fairness in the health care market as we evolve new approaches, especially to the management of chronic illness?

Preventive social health programs : are they Australia's answer to rising health care costs in rural communities?

Although we have good evidence to support the notion that early intervention, prevention and community education programs can mitigate the impact of preventable disease, expanded primary health care is also being promoted by Australian governments as a panacea for reducing growth in demand generally. While preventive programs do reduce acute demand, they may not do so the extent that resources, currently allocated to the acute sector, can be substituted to provide the additional primary care services necessary to reduce acute demand permanently. These developments have particular relevance for rural and isolated communities where access to acute services is already very limited. What appears to be occurring, in rural South Australia at least, is that traditional acute services are being reduced and replaced with lower level care and social intervention programs. This is well and good, but eventually the acute care being provided in rural health units now will still need to be provided by other units elsewhere and probably at much higher cost to the system and to consumers. Where rural communities have previously managed much of their own acute service demand, they may now be forced to send patients to more distant centres for care but at much greater social and economic cost to individuals and the system.