Decision-making In Primary Care Research Articles

Cost-Effectiveness of Telemonitoring and Self-Monitoring of Blood Pressure for Antihypertensive Titration in Primary Care (TASMINH4).

The use of self-monitoring of blood pressure, with or without telemonitoring, to guide therapy decisions by physicians for patients with hypertension has been recently demonstrated to reduce blood pressure compared with using clinic monitoring (usual care). However, both the cost-effectiveness of these strategies compared with usual care, and whether the additional benefit of telemonitoring compared with self-monitoring alone could be considered value for money, are unknown. This study assessed the cost-effectiveness of physician titration of antihypertensive medication using self-monitored blood pressure, with or without telemonitoring, to make hypertension treatment decisions in primary care compared with usual care. A Markov patient-level simulation model was developed taking a UK Health Service/Personal Social Services perspective. The model adopted a lifetime time horizon with 6-month time cycles. At a willingness to pay of £20 000 per quality-adjusted life year, self-monitoring plus telemonitoring was the most cost-effective strategy (£17 424 per quality-adjusted life year gained) compared with usual care or self-monitoring alone (posting the results to the physician). However, deterministic sensitivity analysis showed that self-monitoring alone became the most cost-effective option when changing key assumptions around long-term effectiveness and time horizon. Overall, probabilistic sensitivity analysis suggested that self-monitoring regardless of transmission modality was likely to be cost-effective compared with usual care (89% probability of cost-effectiveness at £20 000/quality-adjusted life year), with high uncertainty as to whether telemonitoring or self-monitoring alone was the most cost-effective option. Self-monitoring in clinical practice is cost-effective and likely to lead to reduced cardiovascular mortality and morbidity.

Is stratification testing for treatment of chronic obstructive pulmonary disease exacerbations cost-effective in primary care? an early cost-utility analysis.

Patients with chronic obstructive pulmonary disease (COPD) who experience acute exacerbations usually require treatment with oral steroids or antibiotics, depending on the etiology of the exacerbation. Current management is based on clinician's assessment and judgement, which lacks diagnostic accuracy and results in overtreatment. A test to guide these decisions in primary care is in development. We developed an early decision model to evaluate the cost-effectiveness of this treatment stratification test in the primary care setting in the United Kingdom. A combined decision tree and Markov model was developed of COPD progression and the exacerbation care pathway. Sensitivity analysis was carried out to guide technology development and inform evidence generation requirements. The base case test strategy cost GBP 423 (USD 542) less and resulted in a health gain of 0.15 quality-adjusted life-years per patient compared with not testing. Testing reduced antibiotic prescriptions by 30 percent, potentially lowering the risk of antimicrobial resistance developing. In sensitivity analysis, the result depended on the clinical effects of treating patients according to the test result, as opposed to treating according to clinical judgement alone, for which there is limited evidence. The results were less sensitive to the accuracy of the test. Testing may be cost-saving in primary care, but this requires robust evidence on whether test-guided treatment is effective. High quality evidence on the clinical utility of testing is required for early modeling of diagnostic tests generally.

Older Adults' Preferences for Discussing Long-Term Life Expectancy: Results From a National Survey.

Clinical practice guidelines recommend incorporating long-term life expectancy to inform a number of decisions in primary care. We aimed to examine older adults' preferences for discussing life expectancy in a national sample. We invited 1,272 older adults (aged 65 or older) from a national, probability-based online panel to participate in 2016. We presented a hypothetical patient with limited life expectancy who was not imminently dying. We asked participants if they were that patient, whether they would like to talk with the doctor about how long they may live, whether it was acceptable for the doctor to offer this discussion, whether they want the doctor to discuss life expectancy with family or friends, and when it should be discussed. The 878 participants (69.0% participation rate) had a mean age of 73.4 years. The majority, 59.4%, did not want to discuss how long they might live in the presented scenario. Within this group, 59.9% also did not think that the doctor should offer the discussion, and 87.7% also did not want the doctor to discuss life expectancy with family or friends. Fully 55.8% wanted to discuss life expectancy only if it were less than 2 years. Factors positively associated with wanting to have the discussion included higher educational level, believing that doctors can accurately predict life expectancy, and past experience with either a life-threatening illness or having discussed life expectancy of a loved one. Reporting that religion is important was negatively associated. The majority of older adults did not wish to discuss life expectancy when we depicted a hypothetical patient with limited life expectancy. Many also did not want to be offered discussion, raising a dilemma for how clinicians may identify patients' preferences regarding this sensitive topic.

The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

Artificial neural networks (ANNs) and classification and regression trees (CARTs) have been previously used for the prediction of cancer in several fields. In our study, we aim to investigate the diagnostic accuracy of three different methodologies (i.e. logistic regression, ANNs and CARTs) for the prediction of endometrial cancer in postmenopausal women with vaginal bleeding or endometrial thickness ≥5mm, as determined by ultrasound examination. We conducted a retrospective case-control study based on data from analysis of pathology reports of curettage specimens in postmenopausal women. Classical regression analysis was performed in addition to ANN and CART analysis using the IBM SPSS and Matlab statistical packages. Overall, 178 women were enrolled. Among them, 106 women were diagnosed with carcinoma, whereas the remaining 72 women had normal histology in the final specimen. ANN analysis seems to perform better with a sensitivity of 86.8%, specificity of 83.3%, and overall accuracy (OA) of 85.4%. CART analysis did not perform well with a sensitivity of 78.3%, specificity of 76.4%, and OA of 77.5%. Regression analysis had a poorer predictive accuracy with a sensitivity of 76.4%, a specificity of 66.7%, and an OA of 72.5%. Artificial intelligence is a powerful mathematical tool that may significantly promote public health. It may be used as a non-invasive screening tool to guide clinicians involved in primary care decision making when endometrial pathology is suspected.

Overview of Allopurinol Decisions in Primary Care: A Narrative Review

Background: Allopurinol is a type of drug called a xanthine oxidase inhibitor. It functions by lowering the production of uric acid in the body. It can be found in the kind of an oral tablet. Generalist physicians, specifically general internists and primary care physicians, are usually the first to see individuals with gout and for that reason play an essential role in the diagnosis and management of these patients. Gout is mostly managed in primary care and lasting treatment aims to reduce serum uric acid degrees with using allopurinol. Urate lowering therapy is indicated in patients who have had an acute gout attack and whose uric acid level remains high, increasing the risk of a subsequent attack. The effect of allopurinol on uric acid level is dose dependent and variable. Aim of the Study: In the present review, we aimed at discussing the indications of Allopurinol in primary care along with its benefits and side effects which should be considered by patients and physicians before prescribing it. Methods: Narrative review was conducted using electronic database such as; PubMed/Medline, Embase, Google scholar, for relevant articles related to our concerned topic which is about the usage of allopurinol in primary care and methods that family doctors use to make a decision about the usage, published up to 2018. Conclusion: The benefit-risk balance of allopurinol should be carefully assessed with respect to the patients’ condition and medical profile before prescription in the PCU.

Answering patient-centred questions efficiently: response-adaptive platform trials in primary care.

As currently designed and conducted, randomised controlled trials rarely address the complexity of patient characteristics that need to be taken into account when making clinical decisions in primary care. We introduce the concept of a response-adaptive platform trial design, as this approach may be better suited to answering patient-centred primary care research questions. The primary question addressed by a traditional clinical trial is whether a treatment is beneficial in the average patient. However, the question that trials should ideally provide would instead answer the question: ‘What is the best treatment for each individual patient, given all of their characteristics that could influence the effectiveness, or otherwise, of the treatment?’ Although sub-group analyses are often performed in traditional trials to determine if the treatment effect is associated with certain patient or disease characteristics (for example, comorbidities, age, or illness severity), these analyses are typically post-hoc, underpowered, and usually consider only one patient characteristic at a time. Thus we might learn something about the influence of age in general on the outcome of treatment from sub-group analysis of a traditional trial, but not about the influence of age, illness severity, and symptom duration combined. Furthermore, participants in traditional clinical trials are often selected to be homogeneous in terms of their illness and to be free of comorbid conditions and any concomitant medications that might complicate the assessment of the effect of a treatment. This leads to a lack of applicability of trial findings to many complex primary care patients. Most registration trials (those intended to support regulatory approvals of new medications) also fail to address important comparative effectiveness questions such as which therapy or combination of therapies may be the most or least effective, or which therapy, out of all of the available therapies, has the best compliance or tolerability. The traditional …

Helping children and families to enrol in weight management: What can stakeholders do?

Many children and their families do not benefit from multidisciplinary clinical care (MCC) for paediatric weight management because they do not enrol in (initiate) treatment. The purpose of this report was to highlight practical recommendations to enhance the enrolment of Canadian children in MCC, which were drawn from multisite Canadian studies (quantitative and qualitative) that we completed recently. Recommendations to stakeholders, including primary care providers, MCC providers and decisions makers, were organized according to opportunities, motivation and barriers to enrol. Findings from our research suggested that enrolment in MCC can be improved by increasing opportunities and motivation to enrol as well as reducing the impact of enrolment barriers.

Use of Visual Decision Aids in Physician-Patient Communication: A Pilot Investigation.

Introduction:A risk calculator paired with a personalized decision aid (RC&DA) may foster shared decision-making in primary care. We assessed the feasibility of using an RC&DA with patients in a primary care outpatient clinic and patients’ experiences regarding communication and decision-making.Methods:This pilot study was conducted with 15 patients of 3 primary care physicians at a clinic within a tertiary medical center. An atherosclerotic cardiovascular disease (ASCVD) risk calculator was used to generate a personalized RC&DA that displayed absolute 10-year risk information as an icon array graphic. Patient perceptions of utility of the RC&DA, preferences for decision-making, and uncertainty with risk reduction decisions were measured with a semi-structured interview.Results:Patients reported that the RC&DA was easy to understand and knowledge gained was useful to modify their ASCVD risk. Patients used the RC&DA to make decisions and reported low uncertainty with those decisions.Conclusions:Our findings demonstrate the feasibility of, and positive patient experiences related to using, an RC&DA to facilitate shared decision-making between physicians and patients in an outpatient primary care setting.

Older Adults' Preferences for When and How to Discuss Life Expectancy in Primary Care.

Life expectancy is important to inform a number of clinical decisions in primary care but its communication is challenging for clinicians. This qualitative interview study with 40 community-dwelling older adults explored their perspectives on how and when to discuss life expectancy in primary care. Most participants did not want to discuss life expectancy longer than 1 year but were open to being offered discussion by clinicians. Suggestions included using health decline as trigger for discussion and discussing with family members instead of patient. Although older adults have varied preferences for the timing and content of life expectancy discussions in primary care, it was generally acceptable for clinicians to offer the opportunity for this type of discussion.

General practitioner use of a C-reactive protein point-of-care test to help target antibiotic prescribing in patients with acute exacerbations of chronic obstructive pulmonary disease (the PACE study): study protocol for a randomised controlled trial

BackgroundMost patients presenting with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) in primary care are prescribed an antibiotic, which may not always be appropriate and may cause harm. C-reactive protein (CRP) is an acute-phase biomarker that can be rapidly measured at the point of care and may predict benefit from antibiotic treatment in AECOPD. It is not clear whether the addition of a CRP point-of-care test (POCT) to clinical assessment leads to a reduction in antibiotic consumption without having a negative impact on COPD health status.Methods/designThis is a multicentre, individually randomised controlled trial (RCT) aiming to include 650 participants with a diagnosis of AECOPD in primary care. Participants will be randomised to be managed according to usual care (control) or with the addition of a CRP POCT to guide antibiotic prescribing. Antibiotic consumption for AECOPD within 4 weeks post randomisation and COPD health status (total score) measured by the Clinical COPD Questionnaire (CCQ) at 2 weeks post randomisation will be co-primary outcomes. Primary analysis (by intention-to-treat) will determine differences in antibiotic consumption for superiority and COPD health status for non-inferiority. Secondary outcomes include: COPD health status, CCQ domain scores, use of other COPD treatments (weeks 1, 2 and 4), EQ-5D utility scores (weeks 1, 2 and 4 and month 6), disease-specific, health-related quality of life (HRQoL) at 6 months, all-cause antibiotic consumption (antibiotic use for any condition) during first 4 weeks post randomisation, total antibiotic consumption (number of days during first 4 weeks of antibiotic consumed for AECOPD/any reason), antibiotic prescribing at the index consultation and during following 4 weeks, adverse effects over the first 4 weeks, incidence of pneumonia (weeks 4 and 6 months), health care resource use and cost comparison over the 6 months following randomisation. Prevalence and resistance profiles of bacteria will be assessed using throat and sputum samples collected at baseline and 4-week follow-up. A health economic evaluation and qualitative process evaluation will be carried out.DiscussionIf shown to be effective (i.e. leads to a reduction in antibiotic use with no worse COPD health status), the use of the CRP POCT could lead to better outcomes for patients with AECOPD and help reduce selective pressures driving the development of antimicrobial resistance. PACE will be one of the first studies to evaluate the cost-effectiveness of a POCT biomarker to guide clinical decision-making in primary care on patient-reported outcomes, antibiotic prescribing and antibiotic resistance for AECOPD.Trial registrationISRCTN registry, ID: ISRCTN24346473. Registered on 20 August 2014.

Primary health care decision making in pre-dialysis chronic kidney disease.

This qualitative descriptive study explored the primary health care decisions of a group of 12 Australians in Stages 3B to 5 with chronic kidney disease in the preservation of kidney health. Questioning within the qualitative interviews focused on gaining an understanding of the participants' perceptions of their kidney health and the decisions made as a consequence of their interaction within the Australian primary health care system. Participants were dependent on their General Practitioner to recognise their symptoms, make the correct diagnosis and authorise the correct referral for specialist nephrology care. Three pathways in this process were identified: 'easy'; 'difficult' and 'protracted'. Clinician failure to correctly attribute symptoms to chronic kidney disease influenced the 'difficult' pathway, while failure to adequately communicate kidney health status influenced the 'protracted' pathway. Use of the language of 'recovery', 'stability' and 'protection' held meaning to the participants in gaining an understanding of their kidney health. Identifying pathways to diagnosis and referral can raise awareness of the challenges kidney health consumers face in their participation within the primary health care arena. Using consumer meaningful language improves the capacity of these consumers to engage in their own primary health care agenda.

Funding and remuneration of interdisciplinary primary care teams in Canada: a conceptual framework and application

BackgroundReliance on interdisciplinary teams in the delivery of primary care is on the rise. Funding bodies strive to design financial environments that support collaboration between providers. At present, the design of financial arrangements has been fragmented and not based on evidence. The root of the problem is a lack of systematic evidence demonstrating the superiority of any particular financial arrangement, or a solid understanding of options. In this study we develop a framework for the conceptualization and analysis of financial arrangements in interdisciplinary primary care teams.MethodsWe use qualitative data from three sources: (i) interviews with 19 primary care decision makers representing 215 clinics in three Canadian provinces, (ii) a research roundtable with 14 primary care decision makers and/or researchers, and (iii) policy documents. Transcripts from interviews and the roundtable were coded thematically and a framework synthesis approach was applied.ResultsOur conceptual framework differentiates between team level funding and provider level remuneration, and characterizes the interplay and consonance between them. Particularly the notions of hierarchy, segregation, and dependence of provider incomes, and the link between funding and team activities are introduced as new clarifying concepts, and their implications explored. The framework is applied to the analysis of collaboration incentives, which appear strongest when provider incomes are interdependent, funding is linked to the team as a whole, and accountability does not have multiple lines. Emergent implementation issues discussed by respondents include: (i) centrality of budget negotiations; (ii) approaches to patient rostering; (iii) unclear funding sources for space and equipment; and (iv) challenges with community engagement. The creation of patient rosters is perceived as a surprisingly contentious issue, and the challenges of funding for space and equipment remain unresolved.ConclusionsThe development and application of a conceptual framework is an important step to the systematic study of the best performing financial models in the context of interdisciplinary primary care. The identification of optimal financial arrangements must be contextualized in terms of feasibility and the implementation environment. In general, financial hierarchy, both overt and covert, is considered a barrier to collaboration.

GD02: An international consensus study to identify quality indicators for ambulatory emergency care

Introduction: Redirecting low acuity patients from emergency departments to primary care walk-in clinics has been identified as a priority by many health authorities. Promoting family physicians for the management of ambulatory patients with urgent health concerns reflects the assumption that primary care facilities can offer high-quality and more affordable ambulatory emergency care. However, no performance assessment framework has been developed for ambulatory emergency care and consequently, quality of care provided in these alternate settings has never been formally compared. Primary objective: To identify structure, process and outcome indicators for ambulatory emergency care. Methods: We will identify and develop quality indicators (QIs) for ambulatory emergency care using a RAND/UCLA Appropriateness Method (RAM) composed of three different steps. First, we will perform a scoping literature review to inventory 1) all previously recommended QIs assessing care provided to ambulatory emergency patients in the ED or the primary care settings; 2) all conditions evaluated with the retrieved QIs; and 3) all outcomes measured by the same QIs. Second, a steering committee composed of the research team and of international experts in performance assessment in emergency and primary care will be presented with the lists of QI-related conditions and outcomes. They will be asked to identify potential outcome indicators for ambulatory emergency care by generating any relevant combinations of one condition and one outcome (e.g. acute asthma exacerbation/re-consultation). Committee members will be given the latitude to use and pair any conditions or outcomes not included in the lists as long as they think the resulting indicators are compatible with the study objectives. Using a structured nominal group approach, they will combine their suggestions and refine the list of potential QIs. This list of potential outcome indicators composed of pairs “condition/outcome” will be merged with the list of already published QIs identified during the literature review. Third, as per the RAM standards, we will assemble an international multidisciplinary panel (n=20) of patients, emergency and primary care providers, researchers and decision makers, after recommendations from international emergency and primary care associations, and from the Canadian Strategy for Patient-Oriented Research (SPOR) Support Units. Through iterative rounds of ratings using both web-based survey tools and videoconferencing, panelists will independently assess all candidate QIs. They will be asked to rate on a nine-level scale to what extent each QI is a relevant and useful measure of ambulatory emergency care quality. From one round to the next, QIs with a median panelist rating score of one to three will be excluded. Those with a median score of seven or more will be automatically included in the final list. QIs with median score of four to six will be retained for future deliberations among the panelists. Rounds of ratings will be conducted until all QIs are classified. Impact: The QIs identified will be used to develop a performance assessment framework for ambulatory emergency care. This will represent an essential step toward testing the assumption that EDs and primary care walk-in clinics provide equivalent care quality to low acuity patients.

Prevalence of clinically significant decisional conflict: an analysis of five studies on decision-making in primary care

ObjectivesUnresolved clinically significant decisional conflict (CSDC) in patients following a consultation with health professionals is often the result of inadequate patient involvement in decision-making and may result in poor outcomes....

Shared Decision Making and Treatment Decisions for Young Children With Autism Spectrum Disorder

ObjectiveTo describe influences on shared decision making between primary care pediatricians and parents of young children with autism spectrum disorder (ASD). MethodsWe conducted a qualitative study using key informant interviews with 20 pediatricians of varying experience from 10 primary care practices and 20 English-speaking parents of young children (aged 2–5 years) with a parent-reported diagnosis of ASD. Subjects were recruited through purposive sampling. Interviews were audiotaped, transcribed verbatim, and analyzed using an integrated approach to data analysis. Differences in coding were resolved by consensus. We achieved thematic saturation and ceased recruitment after 20 interviews were completed within each group. ResultsThree primary themes emerged: 1) pediatricians and parents reported knowledge gaps by pediatricians about ASD treatments and community resources as well as ambiguity regarding the pediatrician's role in ASD care; 2) there was little communication between parents and pediatricians about treatment choices; 3) use of complementary and alternative medical treatments created conflict between pediatricians and parents, and as a result, parents may independently pursue treatments, without the benefit of discussing safety and efficacy with pediatricians. Despite these barriers, parents desired increased support and guidance from their pediatricians, including for complementary and alternative medicine. ConclusionsMuch work is needed to effectively foster shared decision making in the context of ASD treatment decisions in primary care, including pediatrician training in ASD to enhance knowledge about evidence-based and novel treatments, clinical practice guidelines, and community resources.

Gender inequalities in COPD decision-making in primary care

BackgroundCOPD is a frequent severe illness that increasingly affects females. Gender inequalities have been reported in COPD care. ObjectiveTo analyze decision-making in primary care for men and women with identical COPD as a function of the gender of the family physician (FP). MethodsCross-sectional, multicenter study in 457 Andalusian FPs, using a self-administered vignette-based questionnaire on COPD featuring a male or female patient, with four variables on clinical reasoning: “tobacco as most important risk factor (RF)”, “ordering of spirometry”, “COPD as most likely diagnosis”, and “referral”. Multilevel logistic regression analysis. ResultsResponse rate was 67.4% (308/457). In analysis of the four FP gender-patient gender dyads, tobacco was more frequently considered as priority RF for the man than for the woman in the vignette by female (95.6%vs.67.1%) and male (79.8%vs.62.5%) FPs. COPD was more frequently the most likely diagnosis for the man versus woman by female (84.4%vs.49.9%) and male (78.5%vs.57.8%) FPs. Male FPs more frequently ordered spirometry for the man versus woman (68.1%vs.46.8%). There were no differences in referral between male and female patients. Male FPs were more likely than female FPs to consider tobacco as priority RF for the man (p = 002). Female FPs were more likely than male FPs to refer the man (22.5%vs.8%). ConclusionsThere may be gender inequalities in primary care for COPD in our setting. Diagnostic and therapeutic efforts appear lower in female patients. Male and female FPs only differed in care of the male patient, indicating FP gender-patient gender interaction.

Understanding quit decisions in primary care: a qualitative study of older GPs

ObjectiveTo investigate the reasons behind intentions to quit direct patient care among experienced general practitioners (GPs) aged 50–60 years.Design and settingQualitative study based on semistructured interviews with GPs in the...

Validation of the German version of the STarT-Back Tool (STarT-G): a cohort study with patients from primary care practices

BackgroundCurrent research emphasizes the high prevalence and costs of low back pain (LBP). The STarT Back Tool was designed to support primary care decision making for treatment by helping to determine the treatment prognosis of patients with non-specific low back pain. The German version is the STarT-G. The cross-cultural translation of the tool followed a structured and widely accepted process but to date it was only partially validated with a small sample.The aim of the study was to test the psychometric properties construct validity, discriminative ability, internal consistency and test-retest-reliability of the STarT-G and to compare them with values given for the original English version.MethodsA consecutive cohort study with a two-week retest was conducted among patients with non-specific LBP, aged 18 to 60 years, from primary care practices. Questionnaires were collected before the first consultation, and two weeks later by post, using the following reference standards: the Roland and Morris disability questionnaire, the Tampa Scale of Kinesiophobia, the Pain Catastrophizing Scale and the Hospital Anxiety and Depression Scale. Psychometric properties examined included the tool’s discriminative abilities, whether the psychosocial subscale was one factor, internal consistency, item redundancy, test-retest reliability and floor and ceiling effects.ResultsThere were 228 patients recruited with a mean age of 42.2 (SD 11.0) years, and 53 % were female. The areas under the curve (AUC) for discriminative ability ranged from 0.70 (STarT-G Subscale - Pain Catastrophizing Scale; CI95 0.63, 0.78) to 0.77 (STarT-G Total - Composite reference standard, CI95 0.60, 0.94). Factor loadings ranged from 0.49 to 0.74. Cronbach’s alpha testing the internal consistency and redundancy for the total/subscale scores were α = 0.52/0.55 respectively. The STarT-G test-retest reliability Kappa values for the total/subscale scores were 0.67/0.68 respectively. No floor or ceiling effects were present.ConclusionsThe STarT-G shows acceptable psychometric properties although not in exact agreement with the original English version. The items previously regarded as a psychosocial subscale may be better seen as an index of different individual psychosocial constructs. The relevance of using the tool at the point of consultation should be further examined.

Interdisciplinary communication and collaboration among physicians, nurses, and unlicensed assistive personnel.

Historically, health care has primarily focused on physician, nurse, and allied healthcare provider triads. Using a phenomenological approach, this study explores the potential for hospital-based interdisciplinary care provided by physicians, nurses, and unlicensed assistive personnel (UAPs). This phenomenological study used a purposive nonprobability, criterion-based, convenience sample from a metropolitan hospital. Malhotra's (1981) Schutzian lifeworld phenomenological orchestra study provided the theoretical basis for the conductorless orchestra model, which guided this study. In an orchestra, each member sees and hears the musical score from a different vantage point or perspective and has a different stock of knowledge or talent; however, members work together to produce a cohesive performance. Like the orchestra, individual talents and perspectives of physicians, nurses, and UAPs can be collaboratively blended to create a symphony: enhanced patient-centered care. Qualitative semistructured face-to-face, individual interviews were carefully transcribed and coded with the aid of NVivo 9, a qualitative data analysis software program, to discover emergent patterns and themes. The study suggests that most of the time physicians, nurses, and UAPs operate as separate healthcare providers who barely speak to each other. Physicians see themselves as the primary patient care decision makers. Many physicians acknowledge the importance of nurses' knowledge and expertise. On the other hand, the study indicates a hierarchical, subservient relationship among nurses and UAPs. Physicians and nurses tend to work together or consult each other at times, but UAPs are rarely included in any type of meaningful patient discussion. Since physicians, nurses, and UAPs each provide portions of patient care, coordination of the various treatments and interventions provided is critical to prevent errors and fragmentation of care. Tensions, misunderstandings, and conflicts caused by differences of opinions and interests can interfere with effective interdisciplinary communications and collaboration. Improving patient safety in the hospital requires addressing the current hierarchical professional structure inherent in healthcare delivery. A hospital patient care model based on the conductorless orchestra model would mitigate hierarchy; recognize physician, nurse, and UAP contributions to care; promote improved communication and collaboration; and enhance patient safety. Study results provide additional information supporting interdisciplinary communication and collaboration education and training among physicians, nurses, and UAPs to support positive patient care outcomes.

Ensuring public health's future in a national-scale learning health system.

Data and information are fundamental to every function of public health and crucial to public health agencies, from outbreak investigations to environmental surveillance. Information allows for timely, relevant, and high-quality decision making by public health agencies. Evidence-based practice is an important, grounding principle within public health practice, but resources to handle and analyze public health data in a meaningful way are limited. The Learning Health System is a platform that seeks to leverage health data to allow evidence-based real-time analysis of data for a broad range of uses, including primary care decision making, public health activities, consumer education, and academic research. The Learning Health System is an emerging endeavor that is gaining support throughout the health sector and presents an important opportunity for collaboration between primary care and public health. Public health should be a key stakeholder in the development of a national-scale Learning Health System because participation presents many potential benefits, including increased workforce capacity, enhanced resources, and greater opportunities to use health information for the improvement of the public's health. This article describes the framework and progression of a national-scale Learning Health System, considers the advantages of and challenges to public health involvement in the Learning Health System, including the public health workforce, gives examples of small-scale Learning Health System projects involving public health, and discusses how public health practitioners can better engage in the Learning Health Community.