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--> 4 The Nature of Primary Care Primary care can be a rewarding and challenging enterprise. Its position in relation to the body of health care was characterized in 1961 in the now classic paper ''The Ecology of Medical Care." This report by White and his colleagues (White et al., 1961) found that for every 1,000 adults, 750 people perceived a personal illness of some sort in a given month and 250 people sought care from a health care professional. Few of these patients were seen by specialists or hospitalized, and only a tiny fraction made their way to academic centers where most medical teaching and research take place. Primary care could be considered the care provided to these 250 individuals—care that is positioned between self-care and the remainder of the clinical enterprise. Primary care also includes carefully defined efforts to promote health and prevent disease in the entire population in coordination with public health activities. On the one hand, the problems presented to primary care physicians are sufficiently important for patients to seek help. On the other hand, most of the problems are resolved at the level of primary care and typically do not result in referral, consultation, or hospitalization. Indeed, problems that can be resolved at the primary care level are known to constitute the bulk of the contemporary clinical enterprise. The committee learned through site visits, public testimony, and workshops that primary care is neither so easy that anyone can do it, nor so difficult that no one can do it. The knowledge base required in primary care includes elements from the biomedical, behavioral, and social sciences, clinical epidemiology, and biostatistics, but the base required in primary care is not merely the sum of existing specialty knowledge found in medicine and nursing. Some of these
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--> elements are shared with public health (e.g., epidemiology and biostatistics), and many are shared with other fields of medicine. Primary care practice uses a unique blend of these knowledge bases, skills, and communication style. This chapter, without attempting to be exhaustive, describes further the content and characteristics of primary care. Content Of Primary Care The Large Majority of Health Care Needs The committee's definition of primary care stresses that primary care clinicians address a large majority of the problems people bring to the health care system. The content of primary care has been described in multiple ways, and the committee examined data from national surveys conducted in the United States and other countries. Glimpses of primary care can be appreciated by considering reasons for visits and the range of problems addressed by various clinicians. The National Ambulatory Medical Care Survey (NAMCS) samples office visits to physicians and provides information on type of physician, the patient's stated reason for visit, the diagnosis, interventions, and so forth. Rosenblatt et al. (1995) using NAMCS data from 1989 and 1990 has characterized the content of nonreferred ambulatory visits to office-based physicians in the United States as diagnostic clusters. These clusters incorporate the problems people choose to bring to the health care system. They have remained stable over time and approximate the content of primary care practice. The 20 diagnostic clusters shown in Table 4-1 (in rank order by frequency) incorporate just over half of nonreferred visits to U.S. physicians. They cover a spectrum of conditions that are not confined to a particular organ system, gender, or age group. They include acute and chronic problems, diseases and syndromes, mental health concerns and trauma, and visits focused on prevention. All of the clusters reflect problems whose solutions could have a considerable impact on the health of individuals and for which people expect expert care. They are neither trivial in their importance nor simple in terms of their diagnosis and management. Figure 4-1 shows the portion of care for these clusters that is provided by three types of physicians: family physicians, internists, and pediatricians. Other physicians provide the remaining 10 percent or so of visits associated with a given diagnostic cluster. These specialties include orthopedists for sprains, strains, low back pain, and degenerative joint disease, and obstetricians for general medical examinations and urinary tract infections. Although the NAMCS data display the most common diagnostic clusters, the distribution of visits by cluster cannot convey the level of complexity or severity of problems seen in primary care. Some indication of this complexity has been provided by Barondess (1982), who reviewed consecutive visits to his practice of
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--> TABLE 4-1 Diagnosis Clusters That Make Up the Majority of Nonreferred Ambulatory Visits to U.S. Office-Based Physicians, NAMCS, 1989–1990 Rank Cluster Title Percent Cumulative Percent 1. General medical examination 7.2 7.2 2. Acute upper respiratory tract infection 6.2 13.4 3. Hypertension 4.4 17.8 4. Prenatal care 4.3 22.1 5. Acute otitis media 3.5 25.6 6. Acute lower respiratory tract infection 2.7 28.3 7. Acute sprains and strains 2.7 31.0 8. Depression and anxiety 2.5 33.5 9. Diabetes mellitus 2.1 35.6 10. Lacerations and contusions 1.9 37.5 11. Malignant neoplasms 1.7 39.2 12. Degenerative joint disease 1.7 40.9 13. Acute sinusitis 1.6 42.5 14. Fractures and dislocations 1.6 44.1 15. Chronic rhinitis 1.5 45.6 16. Ischemic heart disease 1.4 47.0 17. Acne and diseases of sweat glands 1.3 48.3 18. Low back pain 1.2 49.5 19. Dermatitis and eczema 1.2 50.7 20. Urinary tract infection 1.1 51.8 * The estimated number of visits for 1989–1990 (the denominator) is 1,297,334 (in thousands). This is based on 74,390 survey visits. All relative standard errors are less than 30%. SOURCE: Rosenblatt et al., 1995. general internal medicine over a 20-day period. He divided the clinical problems that he saw into several broad categories—cardiovascular, psychiatric, gastrointestinal, infectious, and so forth. Barondess concluded that about 10 percent of patients seen in each category of problems had major and often life-threatening disease, some acute and some chronic, some with complications and some without. In addition, within each organ system, some patients had an unusually complex disorder. Overall, he reported that a large number of these patients required sophisticated and complex clinical judgments "related to the identification, clinical course, potential complications, and management of a large number of major organic diseases" (p. 736). Such problems may require the judicious use of available technologies and efforts to enhance comfort and functional status and to forestall hospitalization.
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--> FIGURE 4-1 Physician specialties providing care for generalist-dominant diagnosis cluster, NAMCS 1989–1990 (all specialties are listed that accounted for ≥ 10% of visits for that condition). All relative standard errors are ≤ 30%. AI = allergy and immunology; Internal Medicine (IM) = general internal medicine; OBG = obstetrics and gynecology; ORS = orthopedic surgery; OTO = otolaryngology; Pediatrics = general pediatrics. Unlabeled cells represent other specialties. SOURCE: Rosenblatt et al., 1995. Episodes of Primary Care To measure accurately the effects of primary care, data systems and research methods must be able to reflect the co-occurrence of health problems and the longer time frames needed to evaluate the integrative functions of primary care—comprehensiveness, continuity, and coordination. However, in primary care, recording the content of care using standard coding systems such as the International Classification of Diseases or the Diagnostic and Statistical Manual (for mental health) is inadequate because of the complex interplay among diagnostic categories and other clinical or social problems a patient may often simultaneously experience. Current U.S. databases, such as those provided by NAMCS, are by design cross-sectional analyses of single visits and thus cannot capture episode information. These databases compile diagnostic data from the point of view of visits to clinicians reflecting the practitioner perspective rather than the perspective of the
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--> patient in terms of the variety of problems that a given patient brings to the health care system and the services of clinicians who care for those problems over a period of time. Because of such limitations in coding, attempts have been made to describe primary care in terms of episodes. The term episode of care refers to a problem or illness in a patient during the time from its first presentation to a clinician until the completion of the last encounter for that same problem or illness, whether this covers a short period of, for example, several weeks or a much longer time (Lamberts et al., 1993). The concept of episodes of care is discussed in more detail in Chapter 8 with respect to research applications. The Netherlands Transition Project, which uses the International Classification of Primary Care (ICPC), provides detailed information on the content of family practice in the form of episodes of care for age- and sex-specific groups (Lamberts and Wood, 1987; Lamberts et al., 1993; Lamberts and Hofmans-Okkes, 1996). By distinguishing reasons for encounter, diagnoses, and interventions and displaying them for such groups, the Project provides a wealth of information about the distribution of interventions, comorbidities, and rates of referral in enrolled primary care populations. The committee undertook data analyses using both national databases and data provided by several large HMOs to see whether the European approach could be used to understand how primary care is delivered in the United States. The use and sequencing of interventions and the complex interplay in primary care of comorbidities can be understood using ICPC and methods that are well suited to primary care. This methodology is now used in several European countries; however, the committee found very little comparable work in the United States to elucidate primary care in this promising manner (Klinkman and Green, 1995). The committee undertook a data exercise using U.S. data from national surveys and data collected from several large integrated health care delivery systems to approximate the Dutch analyses as a means of understanding what range of personal health care needs appear to be met here by primary care. This effort is briefly reviewed in the Appendix. Characteristics Of Primary Care The complexity of primary care requires that its description include a variety of attributes. Participants at a workshop organized by the Institute of Medicine (IOM) committee in January 1995 explored the science base of primary care and described research needed to strengthen that knowledge base (Appendix C). The six aspects of primary care were emphasized. Excellent primary care is grounded in both the biomedical and the social sciences.
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--> Clinical decisionmaking in primary care frequently differs from that in referral specialties. Primary care has at its core a sustained personal relationship between patient and clinician. Primary care does not consider mental health separately from physical health. Opportunities to promote health and prevent disease are intrinsic to primary care practice. Primary care is information intensive. Biomedical and Social Sciences Biomedical Sciences Biomedical knowledge is as important in primary care as it is in secondary or tertiary care. Primary care draws from biology to provide diagnostic, prognostic, and therapeutic services to help acutely and chronically ill patients. Biomedicine incorporates a range of sciences including physics, chemistry, molecular and cellular biology, and clinical epidemiology. Few conditions are now completely understood at all levels ranging from the molecular to the behavioral, although such understanding seems achievable in the future. Social Sciences and the Humanities in Primary Care Beyond the knowledge of disease is knowledge of the patient as a human being. Humanism is a core area of primary care practice. Defined knowledge, skills, and attitudes contribute to a good clinical process in several core areas: the medical interview, behavioral medicine, and medical ethics. Behavioral sciences. The management of many primary care problems, especially in the context of family and community, leans heavily on the social sciences. Theories of behavior change help primary care clinicians to involve individuals in their own care, improve compliance with therapeutic regimens, understand causes and utilize effective interventions to reduce substance abuse, and integrate the family in dealing with illness and health. Knowledge from the social sciences and theories regarding social support and confidence in one's ability to change behavior in dealing with a particular problem—called self-efficacy—can also be applied to many primary care conditions. Such knowledge and theories include those relating to occupationally
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--> related problems and disorders emanating from the stresses of living and to the adoption of health-promoting behaviors. Communication. A core skill for the primary care clinician is expertise in communication and, in particular, the medical interview. The behavioral sciences can contribute to effective skills in sequencing the interview, organizing information, eliciting and responding to patients, understanding verbal and nonverbal communication, and engaging the patient's participation as an ally in the therapeutic plan (Lipkin et al., 1984). Medical ethics. The primary care clinician is an agent of the patient and his or her welfare, but ethical dilemmas often present themselves. Such issues require working skills in applying sometimes conflicting ethical precepts related to bringing about benefit, avoiding harm, enhancing patient autonomy, and increasing the aggregate well-being of a panel of patients under the clinician's care as well as that of an individual patient. As is true for clinicians in any field of medicine, these issues require not only compassion but also skills drawn in part from the humanities. They include a range of concerns such as accommodating or resisting end-of-life decisions; assisting and intervening when necessary with problems involving patients and their families; adopting appropriate roles when disagreements arise about insurance coverage or the confidentiality of patient information; using genetic and diagnostic tests; and deciding to use or not use life-sustaining technologies. Evidence-Based Medicine Biomedical knowledge in primary care requires that research evidence be applied to individual patients using an approach that has come to be called evidence-based medicine. A large portion of the research evidence comes from basic research and from randomized clinical trials. Applying such information in the primary care setting is particularly challenging because such studies typically restrict their choice of subjects to those who do not have multiple problems or are of a specific age or gender. In addition to knowledge derived from the basic and biomedical sciences and randomized clinical trials, primary care clinicians use results of population-based epidemiological studies that examine risk factors for disease and information from outcomes and effectiveness studies of treatments used by community-based clinicians. Clinicians supplement their knowledge of mechanisms of disease and therapies and their clinical experience with information about the probabilities that (a) particular screening or diagnostic tests will be useful, (b) a patient has a given illness, and (c) such an illness will progress or improve. This, in the aggregate, is evidence-based medicine, and it requires that clinicians be proficient
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--> in searching the literature and in critically appraising that literature using formal rules of evidence (Evidence-Based Medicine Working Group, 1992). Clinical Decisionmaking General Observations Rosser (1996) and Sox (1996) have suggested that primary care clinicians differ from specialists in their approach to clinical decisionmaking. The additional information available to primary care clinicians but not to specialists affects the development of hypotheses to explain conditions, influences the ordering of probabilities, and either enlarges or constrains the options for response. Primary care clinicians, in contrast to referral specialists, must consider a very broad range of possibilities, often at an earlier time in the natural history of their patients' problems, and they must tolerate unavoidable uncertainty when diagnosis is not possible. Some problems never resolve, some are never diagnosable, and some never require further intervention; they simply persist as part of the environment in which a patient-clinician relationship continues. What may appear as a lack of precision in diagnosis by primary care clinicians is often appropriate, given the nature of the problems presented to primary care clinicians. Influence of Different Clinical Roles The overall care process. According to Sox (1996), different clinical roles in primary care and referral practice affect decisionmaking throughout the care process. The specialist is often asked to focus on a single problem, whereas the primary care clinician is often required to deal with multiple problems simultaneously. Indeed, comorbidity is virtually a constant in primary care practice; a typical primary care patient has an active problem list of about six problems. This factor often precludes assignment of causal relationships with any certainty, and it constrains therapeutic options that would otherwise be available to manage a single disease or problem. Furthermore, the referral specialist often sees patients for a single visit and has only limited knowledge of the patient's background or history; by contrast, the primary care clinician often has an ongoing relationship with the patient and has relevant knowledge of the patient's history and situation. The specialist is frequently expected to reach an immediate and definitive resolution of a health concern; the primary care clinician can observe the patient over time, watching for evolution that indicates greater (or lesser) importance or urgency. Common concerns such as fatigue, headache, or insomnia require that the primary care clinician assess the situation, estimate its immediate seriousness, and, in many instances, provide reassurance to the patient even if a diagnosis of disease cannot
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--> be made at that time. Prognosis in primary care requires a knowledge of the person, community, and family as well as the importance of the symptom or concern. Utilizing this information enables the primary care clinician to determine whether early action can do more harm than good and whether watchful waiting is indicated. Use of diagnostic tests and procedures. Sox (1996) compares the reasoning by both kinds of clinicians to explain why primary care clinicians may order fewer diagnostic tests than referral physicians. If primary care clinicians tend to refer when tests are equivocal or symptoms do not resolve with observation or treatment, a referral practice would be enriched with patients who have intermediate probabilities of disease—that is, the diagnostic puzzles of medicine. Said differently, referral practice consists of patients with a higher probability of having particular diseases than would be expected in primary care practices. This circumstance may lead both to a different approach to testing and to a different frequency and selection of tests in primary care as compared to the patterns in referral practice. For one thing, diagnostic tests and procedures have different performance characteristics depending on the prevalence of conditions in the tested population. Tests that could be of great help to a primary care clinician might lack the precision required in specialty practice, and tests that help a specialist might cause more harm than good in primary care practice. Consequently, the choice and interpretation of tests in primary care practice would logically be expected to differ from testing in specialty practice. For example, a test that measures the sedimentation rate of red blood cells is relatively nonspecific, but it helps to rule out significant disease if the result is negative. This is of more value in primary care than in specialty care. By contrast, invasive tests that carry some risk of morbidity and even mortality may be of more value in specialty practice where the probability of disease is higher. Personal Aspects of Primary Care Primary care has at its core a partnership between patient and clinician; that partnership is meant to encourage active patient participation, sharing of information and responsibility, and joint goal setting and decisionmaking. The contributions of primary care to effective health care systems are not achievable in the absence of trust between primary care clinicians and their patients. Patients' views of primary care are expressed through their decisions about whether and when to bring a problem to the attention of clinicians. The reasons people give for seeking care—the symptom or concern—and the degree to which these problems are addressed during a patient visit are negotiated during the encounter between clinician and patient. This negotiation may be direct or unspoken. Some questions may be left unanswered, some problems unexplored. When addressing patient health problems, diagnosis may be critically important
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--> or irrelevant to the care that is given, and diagnostic codes often fail to capture the content of a visit and the important contributions of primary care. For example, providing emotional support, information, and accurate assessment of a condition may be of great importance. At times, the most important task is simply to listen as a patient shares his or her burden, and the most powerful intervention may be the interest shown in the patient and the problem the patient is concerned about. Health care choices can be critical for a patient. From the patient's perspective health care is complex and perplexing, both in terms of how to navigate the system to obtain appropriate care and in terms of what choices exist and how to go about making them. Considerations such as whether to act now or wait, choose a surgical procedure, or embark on a lifetime course of medication are fraught with uncertainty. Surveys have repeatedly shown that patients want information about diseases, treatments, and their benefits and risks. For clinicians to be able to frame risks and benefits accurately and to recommend interventions also requires them to have good knowledge of their patients and their patients' goals and preferences. The fields of decision analysis, risk communication, and health behavior have all contributed to a better understanding of how to assess and convey information in primary care practice; work by Mulley, Wennberg, and others in the area of shared decisionmaking has been especially influential (Mulley, 1991; Kasper et al., 1992). Mort (1996) reported on the use of interactive laser disc technology as a decision support tool for patients. This technique combines narrative and patient testimonials in ways that permit viewers to hear from patients who have made different choices and experienced different outcomes. The narrative tailors estimates of risk and benefits to help patients consider difficult decisions such as hormone replacement therapy, prostate surgery, and surgical alternatives for early-stage breast cancer. Patients come to primary care with their own belief systems, however, based in the context of their family, community, and culture. A lack of awareness or insensitivity to the patient's background reduces the likelihood that the goals of primary care will be achieved. Two recent studies demonstrate this point. Western clinicians typically view informed consent and advanced care planning as having great importance and potential to benefit their patients; moreover, their patients usually expect such information and input into decisionmaking. Carrese and Rhodes (1995) documented the potential of cross-cultural misunderstanding involving beliefs that speech itself has the power to help or to harm. Among traditional Navajo, discussing and thinking about negative information is viewed as potentially harmful. Understanding this cultural preference has clear implications for how a clinician should discuss with Navajo patients the need for prenatal care or immunizations, the options and risks for a treatment or surgical procedure, or advance directives concerning life-sustaining therapies. In a second
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--> example, Blackhall et al. (1995) found that Korean Americans and Mexican Americans were less likely than European Americans to believe that patients should be told of a terminal prognosis. They suggested that physicians ask their patients if they wish to receive such information and make decisions themselves or if they prefer that their families handle such matters. Primary care clinicians must be aware of these preferences on the part of their patients and insofar as possible act accordingly. The personal aspects of primary care also include the important area of self care. Most symptoms are self-evaluated and self-treated without the help of health professionals (White et al., 1961), and a vital function of primary care is to increase self-care competence so that patients can become active partners in health care (Sobel, 1994; Vickery and Lynch, 1995). By providing information, answering questions, and helping patients find other resources for help, primary care clinicians can foster knowledgeable and confident self care. Mental Health and Physical Health In a paper prepared for the IOM committee deGruy has documented the inability to separate mental and physical health states (see Appendix D).1 Mental distress, symptoms, and disorders are usually embedded in a matrix of explained or unexplained physical symptoms as well as acute and chronic medical illnesses. When a patient with a mental disorder presents to a primary care clinician, it is usually by means of a physical complaint. Primary care patients with mental diagnoses—whether or not they meet formally defined diagnostic criteria—show profound functional impairment. Wells and colleagues (1989) demonstrated, for example, that depressed patients had functional impairments comparable to patients with chronic medical conditions such as chronic obstructive pulmonary disease, diabetes, coronary artery disease, hypertension, and arthritis (see also Wells and Sturm, 1995). Patients with mental diagnoses also have consistently higher medical utilization rates than their unaffected counterparts. Primary care clinicians frequently are required to deal with mental symptoms as part of a physical problem. For example, two-thirds of primary care patients with a psychiatric diagnosis have a significant physical illness that precedes the psychiatric diagnosis. Chronic medical illnesses increase the likelihood of depression by two- to threefold. Primary care patients do not view their mental diagnoses as something apart from their general health, and they frequently will not tolerate clinicians' doing so. One-third to one-half of primary care patients refuse referral to a mental health professional even when a diagnosis of an important mental illness is present. The future of primary care obviously requires 1 Material included in this section is referenced in Appendix D, Mental Health Care in the Primary Care Setting.
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--> TABLE 4A-3 Patient Reason for Encounter for New Episodes for Women Ages 25–44 Years Reason at Start of Episode N Ratea % Cough 1,395 92.0 3.5 Pap smear 1,349 89.0 3.4 General weakness/tiredness 1,089 71.8 2.7 Headache 1,000 66.0 2.5 Sympt/complaint throat 933 61.6 2.3 Local swelling/papul/lump/mass 900 59.4 2.3 Low back complaint excl radiation 836 55.2 2.1 Other localized abdominal pain 792 52.2 2.0 Local redness/erythema/rash 681 44.9 1.7 Sympt/complaint pelvis 543 35.8 1.4 Neck sympt/complaint excl headache 512 33.8 1.3 Fever 495 32.7 1.2 Question of pregnancy 479 31.6 1.2 Ear pain/earache 473 31.2 1.2 Pruritis 451 29.8 1.1 Menstruation excessive/irregular 429 28.3 1.1 Other sympt/complaint vagina 426 28.1 1.1 URI (head cold) 411 27.1 1.0 Sympt/complaint sinus (incl pain) 405 26.7 1.0 Feeling anxious/nervous/tense 403 26.6 1.0 Total top 20 14,002 35.3 a Rate = per 1,000 patients per year. SOURCE: Hofmans-Okkes and Lamberts, 1995. Results The Netherlands Transition Project Because these data are presented mainly for illustrative and heuristic reasons, they are not discussed in detail. The information in Table 4A-1 indicates that, among women of child-bearing age in this Dutch study cohort, the top 20 diagnoses account for one-third of all new episodes for this cohort of patients. Thus, they had, on average, 2.4 new episodes per year (total of 36,150 episodes among 15,158 women). Among the top 20 entries, as might be expected, pregnancy and family planning episodes appear frequently, as do certain health maintenance diagnoses (e.g., Pap smears); other important diagnoses involve infectious disease (e.g., upper respiratory and genitourinary tract). For example, the incidence of upper respiratory infections was almost 86 per 1,000 persons; by
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--> TABLE 4A-4 Patient Reason for Encounter for Follow-up Care for Women Ages 25–44 Years Reason During Follow-up N Ratea % Med exam/health evaluation/partial (reproductive functions) 3,051 201.3 10.7 Family planning/oral contraceptive 1,100 72.6 3.9 Med exam/health evalua/partial (cardiovascular problems) 872 57.5 3.1 Medication/prescript/injection (reproductive functions) 836 55.2 2.9 Medication/prescript/injection (psychological problems) 599 39.5 2.1 Pap smear 509 33.6 1.8 Feeling anxious/nervous/tense 420 27.7 1.5 Provide initial episode ongoing (psychological problems) 417 27.5 1.5 Therap counseling/listening 399 26.3 1.4 General weakness/tiredness 392 25.9 1.4 Headache 389 25.7 1.4 Other localized abdominal pain 378 24.9 1.3 Low back complaint excl radiation 357 23.6 1.3 Med exam/health, evaluation/partial (musculoskeletal problems) 314 20.7 1.1 Provide initial episode ongoing (female genital) 278 18.3 1.0 Advice/health education (psychological problems) 276 18.2 1.0 Provide initial episode ongoing (reproductive functions) 274 18.1 1.0 Advice/health education (reproductive functions) 264 17.4 0.9 Cough 259 17.1 0.9 Med exam/health evaluation/partial (skin problems) 259 17.1 0.9 Total top 20 11,643 41.0 a Rate = per 1,000 patients per year. SOURCE: Hofmans-Okkes and Lamberts, 1995.
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--> TABLE 4A-5 Top 20 Diagnostic and Therapeutic Interventions for Women Ages 25–44 Years Interventions N Ratea % Med exam/health evalua/partial 42,248 2,787.2 39.4 Medication/prescript/injection 21,621 1,426.4 20.2 Advice/health education 18,300 1,207.3 17.1 Therap counseling/listening 3,742 246.9 3.5 Referral to other physician/specialist 3,251 214.5 3.0 Blood test 3,117 205.6 2.9 Urine test 2,661 175.6 2.5 Histology/cytology 2,601 171.6 2.4 Referral to nurse, physical therapist 2,303 151.9 2.1 Diagnostic radiology/imaging 1,512 99.7 1.4 Microbio/other immunol test 962 63.5 0.9 Excision/biopsy/removal/cautery 646 42.6 0.6 Incision/drainage/aspiration 553 36.5 0.5 Repair/suture/cast/prosthet. device 537 35.4 0.5 Dressing/compression/packing 517 34.1 0.5 Administrative procedure 350 23.1 0.3 Local injection/infiltration 299 19.7 0.3 Cathet/intubat/dilat/instrument 251 16.6 0.2 Other diagnostic procedures 235 15.5 0.2 Other laboratory test NOS 209 13.8 0.2 Total top 20 105,915 98.8 a Rate = per 1,000 patients per year; NOS = not otherwise specified. SOURCE: Hofmans-Okkes and Lamberts, 1995. contrast, the incidence of acute laryngitis and tracheitis was only about 21 per 1,000 individuals. A comparison of information in Tables 4A-1 and 4A-2 indicates that the annual rate of continuing episodes drops by almost four-fifths (to about 0.54 old episodes per woman per year, based on 8,280 episodes among 15,158 women). Thus, women in the age group had, on average, 2.9 episodes overall in one year (2.4 new and 0.5 follow-up episodes). The top 20 episodes of care account for nearly one-half of the continuing care for this group. Several of the diagnoses appear in both new and ongoing episodes. Among them are family planning and pregnancy (which have rates of 95.0, 18.2, and 11.2 per 1,000 enrolled women); Pap smears and abnormal Pap smears (rates of 24.9 and 6.2 per 1,000, respectively); and "no disease." More striking, however, is the substantial change in the frequency of certain episodes, in particular a move away from acute infections and a shift toward a variety of
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--> TABLE 4A-6 Top 20 Types of Referrals to Specialist Care for Women Ages 25–44 Years Referrals N Ratea % Gynecologist 893 58.9 27.6 Surgeon 381 25.1 11.8 Dermatologist 354 23.4 10.9 Ophthalmologist 225 14.8 7.0 E.N.T. surgeon 223 14.7 6.9 Neurologist 176 11.6 5.4 Internist 170 11.2 5.3 Orthopedic surgeon 133 8.8 4.1 Ambulatory mental health 131 8.6 4.0 Plastic surgeon 113 7.5 3.5 Psychiatrist 99 6.5 3.1 Other referrals 71 4.7 2.2 Abortion clinic 65 4.3 2.0 Cardiologist 40 2.6 1.2 Urologist 34 2.2 1.1 Pulmonologist 26 1.7 0.8 Rheumatologist 22 1.5 0.7 Dental surgeon 16 1.1 0.5 Gastroenterologist 15 1.0 0.5 Allergist 12 0.8 0.4 Total top 20 3,199 98.9 a Rate = per 1,000 patients per year. SOURCE: Hofmans-Okkes and Lamberts, 1995 chronic conditions. Among the latter are hypertension, irritable bowel syndrome, and asthma; quite notable is the rate of affective mental disorders (depressive disorders and anxiety, nervousness, and tension, which have rates of 6.7 and 6.3, respectively). "Reasons for encounter," shown in Tables 4A-3 and 4A-4, are different from the diagnoses enumerated in Tables 4A-1 and 4A-2. They reflect the issues that brought these women to their primary care practitioner, and thus they are couched less in diagnostic terms than in terms relating to symptoms or signs. (The exception are Pap smears in Table 4A-3 for new episodes and Pap smears as well as a variety of specific services such as medications and health education in Table 4A-4 for follow-up.) The top 20 entries account for about one-third and two-fifths, respectively, of the reasons for which patients seek new or follow-up care. Reasons for encounter involving follow-up comprise large numbers of requests for interventions (Table 4A-4). Clinically and epidemiologically, patterns similar to those
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--> for episodes can be seen in Tables 4A-3 and 4A-4. For instance, there is a shift from acute symptoms (for new episodes) to either chronic conditions or health maintenance services (for old episodes). Finally, Tables 4A-5 and 4A-6 are concerned with the interventions used to manage the conditions presented by women in the age group. Of a total of about 107,200 discrete diagnostic and therapeutic interventions recorded, the top 20 shown in Table 4A-5 constituted nearly 99 percent; said differently, for all intents and purposes, these 20 classes of interventions describe the content of primary care. By far the most frequent involved examination, medications, and health education and counseling (see Table 4A-5), with incidence rates, per 1,000 enrolled women in this age group, of more than 2,787 examinations, 1,426 medication prescriptions or injections given, and 1,207 instances of health education and advice. Various laboratory tests were the next most common types of interventions, together with referrals to other types of physicians or primary care providers. The referrals away from primary care to specialist care (which totaled 3,235) are shown in Table 4A-6. The top 20 entries here account for virtually all possible referrals. By far the most frequent specialty was gynecology, with a referral rate of about 59 per 1,000 women. Other commonly used specialists were surgeons of various types (including general surgery; ophthalmology; ear, nose, and throat; orthopedics; and plastic surgery) and mental health specialists. The U.S. Data Table 4A-7 provides information on the new and follow-up "episodes" for U.S. women 25 to 44 years of age, based on the various sources of U.S. information available to the committee (Hofmans-Okkes and Lamberts, 1995). The order of types of episodes is somewhat arbitrary, in that it groups preventive services, various types of gynecologic or obstetric services, a broad set of acute upper respiratory conditions, widely prevalent chronic conditions, and a wide array of other conditions that proved to be important in at least one of these data sets. The data are shown as rates per 1,000 women. The NHIS data suggest that women in this age group have a total of 2.8 episodes per year on average, although the breakdown between new and follow-up care cannot be done with these data. By contrast, the NAMCS data are lower, suggesting that, overall, 2.1 episodes per woman occur per year (0.9 new, 1.2 follow-up). This split does not map to that seen in the Dutch data, but doubtless the narrower emphasis in the NAMCS data (essentially only physician offices) and differences in data recording and coding account for some of the discrepancy. Information from the three managed care organizations is about as diverse as that from the two U.S. national surveys. The total rate of episodes from Organization A appears to be nearly 3.7 per enrolled woman per year, with a rate of new episodes approximating that of the total for the Transition Project or the NHIS.
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--> TABLE 4A-7 Rates of Episodes of Care per 1,000 Women Ages 25–44 Years, by Diagnosis NAMCSb Rates of Episodes Organization A Rates of Episodes Organization B Rates of Episodes Organization C Rates of Episodes Reason for Encounter NHISa Episodes New Follow-up New Old New Old New Old Checkup 801 60 140 291 213 168 68 76 33 Pregnancy 68 350 106 81 54 66 12 5 Contraception 17 23 35 9 12 5 Abortion 23 Vaginitis/candidiasis 20 17 12 25 8 18 14 10 3 Menstrual problems 16 41 14 5 3 Breast problems 25 9 12 17 6 5 2 Other female genital problems 122 68 105 Upper respiratory and viral infections 346 94 35 223 74 94 37 85 35 Sinusitis (acute and chronic) 26 23 77 36 23 58 16 Bronchitis (acute) 42 17 12 52 18 16 10 44 8 Otitis media 28 9 17 7 18
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--> Chronic obstructive pulmonary disease, including asthma 15 12 5 10 3 Hypertension 57 9 23 9 4 2 Diabetes 29 12 4 4 2 Thyroid problems 20 1 2 Obesity 23 Low back conditions 75 9 35 36 3 12 8 22 4 Rheumatism 44 9 12 59 8 5 17 3 Injuries, dislocations, sprains, fractures 112 9 73 35 Dermatitis 9 29 10 8 10 Other skin conditions 108 26 53 26 24 Headache (nonmigraine) 28 6 10 3 Migraine 12 5 9 2 Refraction problems 44 39 24 6 Other central nervous system disorders 48 9 12 Allergy and allergic rhinitis 9 12 20 7 14 4 Weakness, fatigue 16 5 Depression 12 20 17 2 Other psychiatric or psychologic conditions 30
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--> NAMCSb Rates of Episodes Organization A Rates of Episodes Organization B Rates of Episodes Organization C Rates of Episodes Reason for Encounter NHISa Episodes New Follow-up New Old New Old New Old Cystitis 29 9 17 42 6 Other urinary systems conditions 54 17 12 45 19 16 11 30 9 Other gastrointestinal conditions 51 9 44 12 Adverse effects of medications 9 12 2 All listed conditions 2,780 850 1,165 2,856 806 903 660 1,103 196 NOTE: Rates are for episodes of care for 1,000 persons per year; conditions include the top 40 diagnoses in at least one dataset; some groupings have been made. a NHIS = National Health Interview Survey. b NAMCS = National Ambulatory Medical Care Survey. SOURCE: Hofmans-Okkes and Lamberts, 1995; NHIS and NAMCS data originate from unpublished information made available to the committee by Peter Franks, Carolyn Clancy, Paul Nutting and analyzed by Inge Hofmans-Okkes and Henk Lamberts. Organizational data from three managed care plans were analyzed by Inge Hofmans-Okkes and Henk Lamberts.
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--> Total episodes rates for Organizations B and C are considerably lower and different in the split between new and follow-up episodes. In terms of diagnosis, the ''top 20" approach used for the Dutch data could not be applied entirely, as the specifics differ considerably. Not surprisingly, of course, the basic classes of problems that appear to be prevalent in this cohort are the same—for example, in the case of new episodes, pregnancy and family planning issues and an array of infectious disease symptoms. The NAMCS data also indicate something of the shift in problems between new episodes and follow-up care. Comment This data exercise had two purposes. One was to determine what information on episodes of care pertinent to the entire U.S. population might be gleaned from various federal (public sector) sources and from private sector health care organizations. The other was to shed some light, if possible, on the epidemiology of "the great majority of health care needs" that the committee points to in its definition of primary care. The data from the Netherlands Transition Project were used as a analytic prototype. Inferences about the U.S. population should be made only cautiously from the Dutch data for two reasons: (1) the considerable differences in the racial, ethnic, and other characteristics of the two populations, and (2) the more advanced methods used in the project to classify episodes and code them in terms of diagnosis or reason for encounter. Several lessons might be drawn. First, the available information in the United States does not lend itself at present to episode-of-care analysis. To the extent an episode orientation will be important in the future for research, policy, health care delivery, or population statistics purposes, this may be a drawback to appropriate data collection, analysis, and decisionmaking. In that regard, therefore, the committee was of the view that high priority might well be given to developing structures and computer-based methods (e.g., computer-based patient records) that would permit either the public sector (for national statistics or for its own health care programs) and the private sector to create and analyze episodes of care in adequate detail. Second, the "great majority of health care needs" is broad indeed, especially when both new and follow-up episodes are considered. Third, according to the Dutch data, diagnostic labels for episodes and reasons for visit or encounter as provided by patients differ considerably. This underscores the significance of adequate and complete communication between patient and practitioner, an aspect of care related to the committee's notion of a "sustained partnership" and a cornerstone of the traditional "art of care" element of high quality of care.
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