3 Reasons to Never Put Another M&m in Your Mouth Ever Again
J Gen Intern Med. 2015 Mar; thirty(3): 290–297.
Why do People Avoid Medical Intendance? A Qualitative Written report Using National Data
Jennifer M. Taber
National Cancer Constitute, National Institutes of Health, 9609 Medical Eye Drive, Bethesda, MD 20892-9761 USA
Bryan Leyva
National Cancer Establish, National Institutes of Wellness, 9609 Medical Center Bulldoze, Bethesda, MD 20892-9761 Us
Alexander Persoskie
National Cancer Institute, National Institutes of Wellness, 9609 Medical Heart Drive, Bethesda, MD 20892-9761 Us
Received 2014 May 23; Revised 2014 Sep 24; Accepted 2014 Oct xx.
Abstract
Background
Many studies have examined barriers to health care utilization, with the bulk conducted in the context of specific populations and diseases. Less research has focused on why people avoid seeking medical intendance, even when they suspect they should go.
Objective
The purpose of the study was to present a comprehensive description and conceptual categorization of reasons people avoid medical care.
Design
Information were collected as function of the 2008 Health Data National Trends Survey, a cross-sectional national survey.
Participants
Participant-generated reasons for avoiding medical care were provided past one,369 participants (xl% male; M age =48.nine; 75.1% not-Hispanic white, 7.4% non-Hispanic blackness, viii.5% Hispanic or Latino/a).
Main Measures
Participants first indicated their level of understanding with three specific reasons for avoiding medical care; these data are reported elsewhere. We report responses to a follow-upward question in which participants identified other reasons they avert seeking medical care. Reasons were coded using a full general anterior approach.
Key Results
Three main categories of reasons for avoiding medical intendance were identified. Outset, over one-third of participants (33.iii% of 1,369) reported unfavorable evaluations of seeking medical care, such equally factors related to physicians, health care organizations, and affective concerns. 2d, a subset of participants reported low perceived demand to seek medical care (12.2%), often considering they expected their disease or symptoms to ameliorate over time (four.0%). Third, many participants reported traditional barriers to medical care (58.4%), such as loftier cost (24.1%), no health insurance (8.3%), and time constraints (15.half dozen%). Nosotros developed a conceptual model of medical care avoidance based on these results.
Conclusions
Reasons for avoiding medical intendance were nuanced and highly varied. Agreement why people do not go far through the dispensary door is critical to extending the achieve and effectiveness of patient intendance, and these information point to new directions for research and strategies to reduce avoidance.
Keywords: Medical care avoidance, Health care barriers, Health intendance utilization, Qualitative
Introduction
People ofttimes avoid seeking medical care even when they suspect information technology may be necessary;1 – 4 nearly ane-3rd of respondents in a recent national United States (U.South.) survey reported avoiding the doctor.5 – 7 Fifty-fifty individuals with major health problems4 , viii , 9 or who are experiencing symptoms10 – 12 avoid seeking medical care. For example, in one study, 17% of patients diagnosed with rectal tumors reported that they waited a year or more to seek medical consultation after noticing symptoms, with some waiting upward to five years.12 Avoiding medical care may result in late detection of disease, reduced survival, and potentially preventable human suffering.1 , eight , 13 , fourteen
In the nowadays report, we sought to sympathize why people avoid seeking medical care. Avoidance of medical care has been defined as "keeping abroad from something [in a medical context] that is thought to cause mental or physical distress."8 Avoidance tin also occur as a result of barriers, which can be defined equally factors that limit admission to or ease of obtaining quality wellness care (e.g., financial concerns, time constraints).1 , 15 Avoidance of medical care can occur at whatever signal on the illness continuum, including preventing and detecting asymptomatic illness, noticing symptoms and interpreting their significance, seeking care after determining a potential need, and complying with recommended treatment.i , ii , 16 Of note, the term "patient delay" has also been used to describe phenomena related to abstention, but guidelines for research on early cancer diagnosis have suggested instead using the more informative terms "appraisement interval" (the time taken to interpret symptoms) and "assist-seeking interval" (the time taken to seek care after determining a need).17
To date, research on avoidance of medical care has been express in the extent to which information technology examines the broad spectrum of reasons for avoidance (but come across 7), often focusing on specific factors such as barriers or psychological characteristics (e.g., lack of insurance, fear of a diagnosis).4 – 6 , 15 , 18 – 24 A conceptual review of reasons people avoid medical intendance identified merely half dozen qualitative or mixed-methods studies assessing participant-generated reasons, all of which used convenience samples with predominately white participants.1 Moreover, 5 of the six studies reviewed assessed abstention of specific procedures.1 The exception was a focus group study amongst a sample of Hispanics that explored reasons for avoiding medical visits in response to warning signs of heart disease, cancer, and diabetes.11 This qualitative study identified factors such every bit low trust in doctors, depression perceived severity of symptoms, emotional factors (east.yard., denial, fugitive worry, embarrassment), practical barriers, and prior negative experiences as contributing to avoidance.eleven
Given the significance and prevalence of medical care avoidance in the U.S.,1 , five there is a need for continued basic qualitative inquiry that can uncover the reasons underlying this phenomenon. Just put, why do people avoid medical visits that could save lives or reduce suffering, whether through early detection of disease or timely treatment? To assist answer this question, the nowadays study used information collected from a big national sample. The purpose of the study was to identify the reasons people avert seeking medical intendance and to allocate these reasons into conceptually singled-out categories reflecting underlying factors contributing to abstention. Ultimately, nosotros sought to develop a model of medical care avoidance that can inform efforts to promote care-seeking, aid providers reduce avoidance in their patient populations, and promote theoretical advancement in this expanse of research.
Methods
Information Source
Data were obtained from the National Cancer Institute's 2008 Health Information National Trends Survey (HINTS). This cantankerous-sectional survey collects data from a nationally representative sample of civilian non-institutionalized adults aged 18 and over in order to appraise trends and patterns in health advice. Data were collected from January through April 2008. Telephone and post surveys were administered to maximize response rates (24.two and 31.0 %, respectively). The survey was completed by 7,674 participants. Details of the study design take been published elsewhere.25 – 27
Measures
Participants were first asked whether they "avoid visiting their physician even when they suspect they should." Participants who responded "yes" (n=2,327) were then asked to what extent they endorsed three researcher-identified reasons for avoiding the doctor (i.e., feeling uncomfortable when their body is being examined, fear of having a serious disease, and because it makes them think of dying); results concerning these items have been published elsewhere.five , 7 , xviii , 24 Next, participants were asked whether there were "any other reasons why you avoid seeing your doctor," and either wrote their response in a small box if completing a post survey or stated their response to an interviewer, who summarized their response, if completing a phone survey. Responses were cursory and typically consisted of a curt phrase or sentence. Interpretable responses were provided by one,369 participants (58.eight% of those who reported abstention in response to the initial question). Eight participants provided uninterpretable responses either considering they failed to provide a reason (e.m., "don't know") or because information technology was impossible to decide the motivation (eastward.k., "ambiguity" or "family unit tradition"), with 164 participants listing more than i reason.
Information Management and Analytic Approach
An independent enquiry company was contracted to preliminarily clean the participant-generated responses (n=i,377; see 7 for a written report of these uncoded responses) past using short phrases to standardize responses (e.g., "Busy" and "I'thou too busy to go to the doctor" were recoded into "Too busy"). A prior written report reported the height 5 of these uncoded responses (i.e., preference for cocky-care or culling care, dislike or distrust doctors, fright or dislike of medical treatments, time, and money) and predictors of these responses.vii For the present study, the 3 study authors analyzed these short phrases provided by the inquiry company in conjunction with participants' raw responses using a general inductive data analysis approach, a method in which a theory or conceptual model is developed through an iterative process of coding, grouping codes into categories based on underlying concepts, and forming a model or generating hypotheses based on the data.28 , 29 Coding was conducted past discussion of each participant response among all three authors; in rare cases when 2 authors disagreed, the third author acted equally czar. Through this process, the authors identified emergent codes and collapsed and re-conceptualized existing codes every bit necessary. After assigning codes, all authors participated in an iterative process of placing codes into sub- and superordinate categories. The goal of the coding and categorization was to place conceptually distinct factors underlying reasons for avoiding medical care, and to organize these factors into a conceptual framework that could provide targets for intervention and stimulate further research on avoidance. Upon completing the coding and categorizing, we reviewed existing theory on care-seeking and avoidance to determine whether our data provided back up for a pre-existing theory or whether we should develop a new theory and/or model. Nosotros provide quantitative counts of the number of respondents, listing each reason in society to convey the frequency of responses, and qualitatively describe themes to provide context and caption.
Results
Among participants who indicated avoiding medical care, characteristics of those who provided qualitative responses (northward=1,369) compared to those who did not (n=958) are shown in Tableane. Participants who provided responses were more probable to be white, female person, younger, married, born in the U.S., to have completed the survey by telephone, and to have higher income and education, but were less probable to take wellness insurance. Of the 1,369 participants who provided interpretable "other" responses, fewer than half (43.5%, n=595) endorsed at least one researcher-identified reason (answered "agree/strongly concur" versus "disagree/strongly disagree") for fugitive medical care. Approximately 1-fourth reported avoiding medical care because of feeling uncomfortable (26.8%, northward=369) or fearing a serious illness (26.4%, due north=363), with essentially fewer reporting avoiding medical care because it made them think of dying (8.ii%, n=113).
Table 1
Characteristics of Participants Who Reported Fugitive the Doctor and Either Did or Did Not Provide an Interpretable Qualitative "Other" Reason for Avoidance
| Provided qualitative "other" reason | χ2 value, p value | ||
|---|---|---|---|
| Yep (due north=1,369) | No (n=958) | ||
| n (%) | north (%) | ||
| Age | 48.ix (fourteen.9) * | 52.vii (17.8)* | t(2301)=five.63, p<0.001† |
| Gender | χ2(1)=5.49, p=0.02 | ||
| Male person | 547 (40.0) | 429 (45.viii) | |
| Female | 822 (60.0) | 528 (55.1) | |
| Marital status | χ2(1)=iv.95, p=0.03 | ||
| Married or living every bit married | 781 (57.1) | 496 (44.8) | |
| Not married | 555 (40.five) | 427 (44.6) | |
| Education | χ2(3)=96.84, p<0.001 | ||
| Less than high school | 115 (viii.four) | 165 (8.3) | |
| High school graduate | 302 (22.1) | 299 (31.2) | |
| Some college | 442 (32.iii) | 254 (26.5) | |
| Higher graduate | 478 (34.ix) | 204 (21.3) | |
| Household income | χ2(five)=37.41, p<0.001 | ||
| $0 to $9,999 | 76 (5.6) | 75 (7.eight) | |
| $ten,000 to $19,999 | 139 (x.2) | 135 (xiv.1) | |
| $20,000 to $49,999 | 362 (26.4) | 284 (29.7) | |
| $50,000 to $74,999 | 242 (17.7) | 132 (13.8) | |
| $75,000 to $99,999 | 154 (11.3) | 85 (8.9) | |
| $100,000 or more | 224 (16.4) | 98 (10.2) | |
| Race/ethnicity | χii(half dozen)=xl.56, p<0.001 | ||
| Hispanic or Latino | 116 (8.5) | 115 (12.0) | |
| White | 1028 (75.1) | 597 (62.iii) | |
| Black or African American | 101 (7.iv) | 113 (11.8) | |
| American Indian or Alaska Native | 12 (0.9) | 12 (one.3) | |
| Asian | 28 (ii.0) | 34 (3.vi) | |
| Native Hawaiian or other Pacific lslander | 3 (0.two) | v (0.5) | |
| Biracial | 27 (2.0) | 26 (two.7) | |
| Nativity | χ2(1)=viii.53, p=0.003 | ||
| Born in the Us | 1206 (88.one) | 795 (83.0) | |
| Not born in the United States | 131 (9.six) | 127 (13.iii) | |
| Wellness insurance status | χ2(ane)=fifteen.72, p<0.001 | ||
| Yes | 1073 (78.4) | 805 (84.0) | |
| No | 281 (20.5) | 134 (14.0) | |
| Personal history of cancer | χ2(one)=4.77, p=0.03 | ||
| Yes | 114 (8.3) | 104 (ten.nine) | |
| No | 1227 (89.6) | 820 (85.six) | |
| Survey response mode | χii(1)=38.92, p<0.001 | ||
| 642 (46.nine) | 575 (60.0) | ||
| Telephone | 727 (53.1) | 383 (40.0) | |
From the analysis of participant-generated qualitative reasons for fugitive the doc, nosotros identified iii overarching, conceptually distinct categories of reasons for avoiding medical intendance based on whether participants perceived seeking medical care to exist necessary, bachelor to them equally a course of activeness, and favorable or beneficial. In the showtime category, "depression perceived demand to seek medical care," responses indicated a conclusion that seeking medical intendance was unnecessary. In the second category, "traditional barriers to medical care," responses indicated that seeking medical care was non an option because of a lack of resources. In the third category, "unfavorable evaluations of seeking medical care," people evaluated some aspect of the intendance-seeking process as negative. A fourth category, labeled "personality traits," was also identified as a reason for avoidance that did not autumn into any of the three major categories. Each category and relevant subcategories are described in particular below and outlined in Fig.1.
Participant-generated reasons for avoiding medical care (n=one,369).
Low Perceived Demand to Seek Medical Care
Many responses, coded as "low perceived need," indicated the conventionalities that seeking medical care was unnecessary (due north=167). The most mutual reasons were that medical issues would either "meliorate over fourth dimension" or "improve on their own" (due north=55; east.chiliad., "Whatever the symptoms, time will make it improve"; "I believe the trunk volition heal itself in most cases"). Participants ofttimes indicated that this was contingent on the problem not being very serious (e.g., "What I take volition pass. I but go if I think it is serious"), with many stating not being "sick enough" every bit a reason for avoiding medical intendance (n=40; e.yard., "Don't go unless in that location is a real need"). Despite the question stem referring to avoiding the physician "when y'all think you should become," many participants said they avoided medical care because they did not accept health problems (northward=40; east.one thousand., "Non sick. If not broken don't fix"). A pocket-size subset of participants also reported avoiding medical care because they "endeavor to take intendance of themselves" (n=13; e.thou., by using over-the-counter medication), were either a md or worked in a health care setting (north=nine), were agape to be labeled a hypochondriac (due north=5), or preferred to rely on spiritual healing (n=3) or to use natural remedies (n=2).
Traditional Barriers to Medical Care
The largest overarching category of reasons for avoidance of medical care may be best described equally "traditional barriers to medical care" (north=800, 58.4%). In this category, we included responses indicating circumstances or obstacles limiting admission to medical care. Participants reported having likewise little time or existence too busy to seek medical care (north=214), that clinic hours were inconvenient (north=57; e.one thousand., "Accept to have time off from work"), that transportation was difficult (northward=xviii) or the distance was too far (due north=7), that they were too ill to travel to the dr.'due south office (n=6), or that an existing physical (n=5; e.thousand., multiple sclerosis) or mental wellness (east.g., depression, astringent anxiety) problem prevented them from going. Financial reasons included concerns about overall toll (north=330), co-pays (n=35), and health insurance (n=151). Few reported not having a physician (due north=thirteen), that their doctor was inaccessible (n=five; e.g., "I don't see him, I just run into nurses, he is never there"), not having childcare (n=3), or language barriers (n=2).
Unfavorable Evaluations of Seeking Medical Care
Approximately one-tertiary of participants (north=456, 33.3%) provided responses that demonstrated unfavorable evaluations of the procedure or outcomes of seeking medical care.
Physician Factors
The most oftentimes reported reasons for unfavorable evaluations were factors related to physicians (n=178). In that location were 2 major categories of medico factors: interpersonal concerns (n=98) and concerns almost the quality of medical care (n=81). The most frequent interpersonal concerns involved communication concerns (n=34), including perceptions that doctors exercise non follow-up, that communication is difficult, disliking how doctors communicate (east.g., "Doctors often brand yous experience like you're stupid"), disliking the manner in which doctors provide advice or recommendations (east.g., "Tired of existence chewed out for not following medical advice"), perceiving that doctors do not listen to patients (e.yard., "They are impersonal—paying more attending to computers"; "My experience is one of non being heard/considered"), and perceiving that doctors practice not take patients' concerns seriously. Other interpersonal reasons included full general mistrust of doctors (e.one thousand. "I but don't trust them"; northward=25), believing that doctors practise not care about patients (e.1000., "I don't ever feel that they truly care"; n=8), and perceiving that doctors are too busy (n=8). Participants also reported a broad dislike of doctors, without elaboration (n=21).
The most frequent reason concerning the quality of medical intendance was that participants had low confidence in doctors' expertise (n=61), which included beliefs that doctors would not be able to diagnose patients (e.thousand., "Fear that they won't know what'south wrong either"), that doctors would provide incorrect diagnoses (due east.g., "They usually make the incorrect diagnosis"), and that doctors simply "make things worse." This category besides included more full general statements about a lack of conviction in medical providers (e.g., "No confidence in today's medical field"). Participants also expressed concerns that doctors would prescribe unnecessary tests or medication (n=13), and several participants stated that "doctors intendance more than most money than patients" (due north=9).
Organizational Factors
Many reasons for unfavorable evaluations concerned aspects of the medical system (north=108), such as long waiting times (n=52) and "hassle" (northward=51), which included the hassle of making timely appointments (due east.chiliad., "Usually can't come across doctor at the time of a problem") or even making appointments at all (e.1000., "Difficult to get appointment, part likewise busy"), as well every bit general hassle (eastward.thou., "It's a big carp"). Several participants reported not wanting to be effectually ill people (n=6). Additional reasons are shown in Fig.one.
Melancholia Concerns
Some participants reported that predictable fear, embarrassment, or guilt kept them from seeking medical care (n=76). Responses concerning fright included the fear of receiving bad news (northward=31) such as a medical diagnosis or a prognosis apropos an already diagnosed condition (eastward.chiliad., "Agape they might say my diabetes is worse"). Participants also reported fear of needles (north=vii), pain (n=5), and specific procedures such equally surgery or prostate exams (n=5), or but reported "fear" (north=12). Relatedly, participants reported the specific emotion of embarrassment (due north=15), including embarrassment virtually weight (n=four), health problems (n=ii), or full general feelings of discomfort (n=9). Finally, some participants reported feeling guilty nearly potentially disclosing engagement in unhealthy behavior (n=two).
Expected Negative Outcomes
Some responses pertained to behavior that the result of seeking medical intendance would be negative, including dislike of a provider'south medical recommendations or the perception that recommendations would not be useful (n=42). These responses included abstention of specific recommendations to change beliefs (n=19); participants often disliked the emphasis on weight loss (north=10; e.g., "Hearing the same old—lose weight" and "Ever accept to hear about how fat I am") or other health problems such every bit alcohol consumption, smoking, or high claret force per unit area. Some participants indicated they disliked or could not take medication (n=12; due east.one thousand., "I detest Rx drugs—the side effects scare me") or that they would not follow a doc's recommendations (due north=7). Boosted responses are reported in Fig.one.
Other Reasons
Several additional reasons were reported that were either nonspecific or did non autumn into some other category (due north=67). The majority of these responses included more often than not not liking or wanting to become to the doctor (n=46). Participants also reported having had past negative experiences but not specifying the nature of these experiences (n=11), denial (n=4), and not viewing seeking medical care every bit a priority (n=iii). Fig.1 presents other reasons reported by few participants.
Self-Ascribed Personality Traits
A fourth category of reasons for avoiding medical care concerned personality traits (northward=45). Specifically, participants responded that they were "lazy" (n=23) or that they "procrastinate" (north=20), with fiddling elaboration. Two additional responses are shown in Fig.1.
Conceptual Model of Medical Care Abstention
Fig.2 presents the conceptual model of medical care avoidance that emerged from our categorization of participant-generated reasons. The language used to describe this model, likewise as the conceptualization of avoidance at different stages of the care-seeking procedure, was influenced by Crisis Conclusion Theory, which describes how people respond to negative events more generally.30 Our conceptual model proposes that avoidance may begin prior to noticing a need (e.1000., avoidance of early detection or preventive services) or in the procedure of evaluating symptoms, or that avoidance tin occur later a need is identified if people perceive a lack of resources, evaluate medical care unfavorably, or take a personality trait that discourages care-seeking. The model as well proposes that avoiding medical intendance for whatsoever of these reasons would lead to a lack of medical and preventive care and, ultimately, poorer wellness outcomes. A specific comparison of our model of medical care avoidance to the more full general Crunch Decision Theorythirty is presented in the Word.
Conceptual model of medical care avoidance.
Discussion
This study presents the commencement comprehensive qualitative analysis of reasons for avoiding medical intendance amongst the general U.South. public. Using a diverse nationally representative sample and participant-generated responses, nosotros applied inductive qualitative inquiry methods to identify and categorize reasons for and to develop a conceptual model of medical care abstention. Three overarching categories of reasons emerged based on the necessity, availability, and desirability of care-seeking: ane) low perceived need to seek medical care; 2) traditional barriers to medical intendance, in which people may want to seek care but are limited in their ability to exercise so; and 3) unfavorable evaluations of seeking medical care, in which people may perceive care-seeking as necessary and an available pick, but not desirable. Notably, unlike much of the prior research, the reasons identified here are applicable across a broad range of clinical settings and are especially relevant for primary care. Primary care settings are patients' first point of contact for most wellness bug, and increasingly part as the hub of all medical intendance.31 Understanding why people fail to get in through the clinic door is disquisitional to extending the reach and effectiveness of patient intendance.
Many of the reasons identified hither are consistent with factors previously described in prior research, including studies of smaller patient and community samples, and reflected in theories of health beliefs and health care use.1 – 4 , 7 , 10 , 11 , 32 – 37 Interestingly, the categories of reasons that emerged from the present study mapped virtually directly onto a general psychological model of responses to negative events—Crunch Decision Theory30—which has non previously been used as a framework for understanding medical intendance avoidance. Crunch Conclusion Theory posits that people answer to negative events first by appraising the severity of threat, next by identifying bachelor response options, and lastly past evaluating bachelor response options.thirty Putting our results into the language of this framework, participants who reported depression perceived need to seek medical intendance may accept appraised little threat or perceived high control to respond to the "crisis" themselves. Participants who reported factors limiting admission may have felt that their response options were limited and that seeking medical care was not an selection. Participants who reported unfavorable evaluations of medical care may have moved beyond both of these stages—they may have recognized a need to seek care (sufficient threat) and perceived seeking care to be a feasible option, merely—in the language of Crunch Determination Theory—did non wait the gains of seeking care to outweigh the costs.
Our conceptual model proposes that perceptions of the necessity, availability, and desirability of seeking medical intendance may be prime intervention targets for reducing medical care abstention. Although in some cases participants may have correctly assessed that their symptoms would go away with time or heal on their own, low perceived demand to seek care suggests a need to educate patients on how to recognize symptoms for mutual wellness problems and the value of medical screening for asymptomatic weather. For example, many people falsely believe they tin tell when their blood pressure is high.38 Education about the importance of seeking preventive health care and regular checkups is critical. Public health efforts might include phone or printed client reminders that medical visits are vital to health maintenance, that regular checkups can identify risk factors and problems before they become serious, and that treatments are oft more effective when disease is defenseless early.39 Interventions utilizing technology such as telemedicine and eHealth (due east.thousand., patient portals) may increment patient engagement with wellness care, provided they facilitate awareness of health care services and disease direction.40 , 41 In terms of symptom appraisement, research should assess whether people must accomplish certain thresholds prior to seeking care.
Traditional barriers limiting access to or ease of seeking medical care, such as lack of wellness insurance and fourth dimension constraints, were the nigh usually cited reasons for avoiding medical care, consequent with prior research.7 , 21 , 22 , 42 – 44 With the appearance of the Affordable Intendance Act (ACA), lack of health insurance may get less of a barrier, but our results indicate that inadequate wellness insurance and high co-pays are also reasons for avoiding medical care, likewise as numerous other reasons that may non be abated past the ACA. Interventions targeting these barriers are an of import area for continued research. Strategies designed to tackle multiple barriers simultaneously (east.g., case management, financial incentives such equally cost-reduction strategies or efforts to limit out-of-pocket costs) and comprehensive approaches addressing multiple patient needs (e.m., multidisciplinary team care45) may be more effective in reducing avoidance than strategies that target only one barrier.
Finally, many people reported unfavorable evaluations of seeking medical care (due east.g., communication problems, concerns about physicians' trustworthiness and expertise), consequent with prior enquiry showing the bear upon of the patient-physician relationship and medical trust on medication adherence, health care utilization, and health outcomes.vii , 32 , 46 – 50 Much intervention enquiry is focused on improving patient experiences and communication,51 – 55 and the frequency of responses indicating dislike of both physicians and the health care arrangement confirms that this intervention focus is well-deserved. Nonetheless, we also observed a variety of other reasons, such equally fugitive specific recommendations or procedures, which could likewise exist addressed through interventions aimed at changing negative perceptions nigh specific aspects of medical care.
Limitations and Hereafter Directions
At that place are several important limitations of the nowadays written report. Medical care avoidance due to discomfort with physical examinations, fear of having a serious disease, and associating doctors with death may have been underestimated because these factors were assessed with closed-ended questions immediately prior to the open-concluded question analyzed here. The blueprint of differences in demographic factors among individuals who did and did not provide written reasons for avoiding seeking medical care suggest that responses were provided more often by people who may have been more favorably tending to participate in enquiry (eastward.g., those with higher incomes and education levels). Given the subjective nature of qualitative coding, alternating categorizations of the data are possible. In particular, reasons categorized here as "unfavorable evaluations of seeking medical care" have been conceptualized elsewhere as "cerebral barriers."15 Few participants self-identified as members of racial and ethnic minority groups or were born exterior the U.S., which is of import because the breadth and distribution of reasons for medical care avoidance may be unlike amidst these populations. For example, although linguistic communication is a stiff barrier for many immigrant populations,56 merely two participants identified language equally a reason for avoiding care. Therefore, intendance should be taken to written report reasons for abstention amid these specific populations. Farther, we cannot be certain that all respondents understood or paid attention to the exact detail wording. We interpreted responses concerning "no health problems" as bear witness for avoiding preventive screening or routine checkups. Even so, this is an extrapolation, and participants' intentions cannot exist known.
In add-on to informing intervention development, the present results are intended to generate hypotheses for future research. Participants tended to list but one response and were not encouraged to report all reasons that were important to them. If some people avoid medical care for multiple reasons, this may accept reduced the overall reported prevalence of many reasons. Enquiry is likewise necessary to test whether there is a linear determination-making strategy as suggested by Crisis Decision Theory, as it is possible that diverse reasons may collaborate and co-occur. For example, traditional barriers may exert more than influence, or symptoms may be interpreted equally less astringent, when people negatively evaluate some aspect of care-seeking, (e.k., fearing bad news). Prospective research in which participants written report symptoms and behavioral responses as they unfold would provide valuable insight into the process of decision-making surrounding avoidance. Researchers can also follow upwards on specific reasons that have been understudied and develop validated scales of reasons for medical care avoidance, and future research should test the predictive validity of these reasons for actual avoidance. Quantitative analyses are necessary because people cannot ever accurately report their motivations57 and might not be fully aware of the specific reasons they avoid seeking medical care. The frequency of specific reasons reported here might overestimate or underestimate the impact of these reasons on actual avoidance. Finally, request people to explain why they choose to seek medical care in some instances but not in others might provide better understanding of the potentially nuanced and dynamic patterns and processes of decision-making.ii
Conflict of Interest
The authors declare that they do not take a disharmonize of involvement.
References
ane. Byrne SK. Healthcare avoidance: a critical review. Holist Nurs Pract. 2008;22:280–292. doi: 10.1097/01.HNP.0000334921.31433.c6. [PubMed] [CrossRef] [Google Scholar]
2. Scott S, Walter F. Studying help-seeking for symptoms: The challenges of methods and models. Soc Personal Psychol Compass. 2010;4:531–47. doi: x.1111/j.1751-9004.2010.00287.x. [CrossRef] [Google Scholar]
3. Yousaf O, Grunfeld EA, Hunter MS. A systematic review of the factors associated with delays in medical and psychological help-seeking amongst men. Health Psychol Rev. 2013:ane-13 [PubMed]
iv. Smith LK, Pope C, Botha JL. Patients' aid-seeking experiences and delay in cancer presentation: a qualitative synthesis. Lancet. 2005;366:825–831. doi: 10.1016/S0140-6736(05)67030-4. [PubMed] [CrossRef] [Google Scholar]
5. Vanderpool RC, Huang B. Cancer run a risk perceptions, beliefs, and md avoidance in Appalachia: results from the 2008 HINTS Survey. J Wellness Commun. 2010;15(Suppl 3):78–91. doi: 10.1080/10810730.2010.522696. [PubMed] [CrossRef] [Google Scholar]
6. Persoskie A, Ferrer RA, Klein WM. Clan of cancer worry and perceived adventure with dr. abstention: an assay of information avoidance in a nationally representative Us sample. J Behav Med. 2014;37:977–987. doi: ten.1007/s10865-013-9537-2. [PubMed] [CrossRef] [Google Scholar]
7. Kannan VD, Veazie PJ. Predictors of fugitive medical care and reasons for abstention behavior. Med Care. 2014;52:336–345. doi: 10.1097/MLR.0000000000000100. [PubMed] [CrossRef] [Google Scholar]
8. Lund-Nielsen B, Midtgaard J, Rorth M, Gottrup F, Adamsen L. An avalanche of ignoring–a qualitative study of health intendance avoidance in women with cancerous chest cancer wounds. Cancer Nurs. 2011;34:277–285. doi: ten.1097/NCC.0b013e3182025020. [PubMed] [CrossRef] [Google Scholar]
9. Kiefe CI, Funkhouser Eastward, Fouad MN, May DS. Chronic disease as a barrier to chest and cervical cancer screening. J Gen Intern Med. 1998;13:357–365. doi: 10.1046/j.1525-1497.1998.00115.x. [PMC costless commodity] [PubMed] [CrossRef] [Google Scholar]
10. Barbour JB, Rintamaki LS, Ramsey JA, Brashers DE. Avoiding wellness data. J Health Commun. 2012;17:212–29. [PubMed]
11. Larkey LK, Hecht ML, Miller K, Alatorre C. Hispanic cultural norms for wellness-seeking behaviors in the face up of symptoms. Health Educ Behav. 2001;28:65–80. doi: 10.1177/109019810102800107. [PubMed] [CrossRef] [Google Scholar]
12. Ristvedt SL, Trinkaus KM. Psychological factors related to delay in consultation for cancer symptoms. Psychooncology. 2005;14:339–350. doi: x.1002/pon.850. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
xiii. Richards MA, Westcombe AM, Love SB, Littlejohns P, Ramirez AJ. Influence of delay on survival in patients with chest cancer: a systematic review. Lancet. 1999;353:1119–1126. doi: ten.1016/S0140-6736(99)02143-ane. [PubMed] [CrossRef] [Google Scholar]
14. Ohl M, Tate J, Duggal M, et al. Rural residence is associated with delayed intendance entry and increased mortality among veterans with human immunodeficiency virus infection. Med Care. 2010;48:1064–1070. doi: 10.1097/MLR.0b013e3181ef60c2. [PMC complimentary commodity] [PubMed] [CrossRef] [Google Scholar]
15. Carrillo JE, Carrillo VA, Perez HR, Salas-Lopez D, Natale-Pereira A, Byron AT. Defining and targeting health intendance admission barriers. J Health Care Poor Underserved. 2011;22:562–575. doi: ten.1353/hpu.2011.0037. [PubMed] [CrossRef] [Google Scholar]
16. Reynolds LM, Consedine NS, Pizarro DA, Bissett IP. Disgust and behavioral abstention in colorectal cancer screening and treatment: a systematic review and research agenda. Cancer Nurs. 2013;36:122–130. doi: x.1097/NCC.0b013e31826a4b1b. [PubMed] [CrossRef] [Google Scholar]
17. Weller D, Vedsted P, Rubin K, et al. The Aarhus statement: improving pattern and reporting of studies on early cancer diagnosis. Br J Cancer. 2012;106:1262–1267. doi: ten.1038/bjc.2012.68. [PMC costless article] [PubMed] [CrossRef] [Google Scholar]
xviii. Moser RP, Arndt J, Han PK, Waters EA, Amsellem Thousand, Hesse BW. Perceptions of cancer as a death judgement: prevalence and consequences. J Wellness Psychol. Jul 17 2013. [PMC costless article] [PubMed]
19. Capp R, Rooks S, Wiler J, Zane R, Ginde A. National report of wellness insurance type and reasons for emergency department use. J Gen Intern Med. 2014;29:621–627. doi: 10.1007/s11606-013-2734-4. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
20. Cheung PT, Wiler JL, Lowe RA, Ginde AA. National study of barriers to timely primary care and emergency department utilization among medicaid beneficiaries. Ann Emerg Med. 2012;sixty:four–x.e12. doi: 10.1016/j.annemergmed.2012.01.035. [PubMed] [CrossRef] [Google Scholar]
21. Baker DW, Shapiro MF, Schur CL. Health insurance and access to care for symptomatic conditions. Arch Intern Med. 2000;160:1269–1274. doi: 10.1001/archinte.160.9.1269. [PubMed] [CrossRef] [Google Scholar]
22. DeVoe JE, Fryer GE, Phillips R, Green L. Receipt of preventive care amidst adults: insurance status and usual source of care. Am J Public Health. 2003;93:786–791. doi: 10.2105/AJPH.93.5.786. [PMC complimentary commodity] [PubMed] [CrossRef] [Google Scholar]
23. Goins RT, Williams KA, Carter MW, Spencer One thousand, Solovieva T. Perceived barriers to health care access amongst rural older adults: a qualitative written report. J Rural Health. 2005;21:206–213. doi: 10.1111/j.1748-0361.2005.tb00084.10. [PubMed] [CrossRef] [Google Scholar]
24. Ye J, Shim R, Rust G. Health care abstention among people with serious psychological distress: analyses of 2007 Health Information National Trends Survey. J Health Care Poor Underserved. 2012;23:1620–1629. doi: x.1353/hpu.2012.0189. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
25. Cantor D, Coa K, Crystal-Mansour South, Davis T, Dipko Southward, Sigman R. Health Information National Trends Survey (HINTS) 2007 Last Study. Westat: Rockville, Physician; 2009. [Google Scholar]
26. Nelson DE, Kreps GL, Hesse BW, et al. The Health Information National Trends Survey (HINTS): development, design, and dissemination. J Health Commun. 2004;9:443–460. doi: 10.1080/10810730490504233. [PubMed] [CrossRef] [Google Scholar]
27. Rutten LF, Moser RP, Beckjord EB, Hesse BW, Croyle RT. Cancer Communication: Health Information National Trends Survey. National Cancer Institute: Washington, DC; 2007. [Google Scholar]
28. Glaser BG, Strauss AL. The discovery of grounded theory: strategies for qualitative research. Transaction Publishers; 2009
29. Thomas DR. A full general inductive arroyo for analyzing qualitative evaluation information. Am J Eval. 2006;27:237–246. doi: x.1177/1098214005283748. [CrossRef] [Google Scholar]
thirty. Sweeny K. Crunch decision theory: decisions in the face of negative events. Psychol Bull. 2008;134:61–76. doi: x.1037/0033-2909.134.ane.61. [PubMed] [CrossRef] [Google Scholar]
31. Rittenhouse DR, Shortell SM. The patient-centered medical home: Volition information technology stand the test of wellness reform? JAMA. 2009;301:2038–2040. doi: 10.1001/jama.2009.691. [PubMed] [CrossRef] [Google Scholar]
32. Moore PJ, Sickel AE, Malat J, Williams D, Jackson J, Adler NE. Psychosocial factors in medical and psychological handling avoidance: the function of the physician-patient human relationship. J Health Psychol. 2004;9:421–433. doi: 10.1177/1359105304042351. [PubMed] [CrossRef] [Google Scholar]
33. Andersen RM. Revisiting the behavioral model and access to medical care: does information technology matter? J Health Soc Behav. 1995;36:1–10. doi: 10.2307/2137284. [PubMed] [CrossRef] [Google Scholar]
34. Iskandarsyah A, de Klerk C, Suardi DR, Soemitro MP, Sadarjoen SS, Passchier J. Psychosocial and cultural reasons for delay in seeking help and nonadherence to treatment in Indonesian women with chest cancer: a qualitative written report. Wellness Psychol. 2014;33:214–221. doi: 10.1037/a0031060. [PubMed] [CrossRef] [Google Scholar]
35. Ramirez AJ, Westcombe AM, Burgess CC, Sutton South, Littlejohns P, Richards MA. Factors predicting delayed presentation of symptomatic breast cancer: a systematic review. Lancet. 1999;353:1127–1131. doi: 10.1016/S0140-6736(99)02142-X. [PubMed] [CrossRef] [Google Scholar]
36. Scott SE, Walter FM, Webster A, Sutton S, Emery J. The model of pathways to treatment: conceptualization and integration with existing theory. Br J Health Psychol. 2013;xviii:45–65. doi: 10.1111/j.2044-8287.2012.02077.ten. [PubMed] [CrossRef] [Google Scholar]
37. Walter F, Webster A, Scott Due south, Emery J. The Andersen Model of Total Patient Delay: a systematic review of its application in cancer diagnosis. J Health Serv Res Policy. 2012;17:110–118. doi: x.1258/jhsrp.2011.010113. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
38. Meyer D, Leventhal H, Gutmann M. Common-sense models of illness: the case of hypertension. Health Psychol. 1985;iv:115–135. doi: 10.1037/0278-6133.4.2.115. [PubMed] [CrossRef] [Google Scholar]
40. Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010;78:329–336. doi: 10.1016/j.pec.2010.01.013. [PubMed] [CrossRef] [Google Scholar]
41. Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144:742–752. doi: x.7326/0003-4819-144-x-200605160-00125. [PubMed] [CrossRef] [Google Scholar]
42. Blewett LA, Johnson PJ, Lee B, Scal PB. When a usual source of intendance and usual provider matter: adult prevention and screening services. J Gen Intern Med. 2008;23:1354–1360. doi: 10.1007/s11606-008-0659-0. [PMC complimentary article] [PubMed] [CrossRef] [Google Scholar]
43. Okoro CA, Strine TW, Immature SL, Balluz LS, Mokdad AH. Access to health care amid older adults and receipt of preventive services. Results from the Behavioral Risk Factor Surveillance Arrangement, 2002. Prev Med. 2005;40:337–343. doi: 10.1016/j.ypmed.2004.06.009. [PubMed] [CrossRef] [Google Scholar]
44. Rezayatmand R, Pavlova M, Groot W. The impact of out-of-pocket payments on prevention and health-related lifestyle: a systematic literature review. Eur J Public Health. 2013;23:74–79. doi: 10.1093/eurpub/cks034. [PubMed] [CrossRef] [Google Scholar]
45. Fennell ML, Das IP, Clauser S, Petrelli N, Salner A. The organization of multidisciplinary care teams: modeling internal and external influences on cancer care quality. JNCI Monographs. 2010;72–lxxx. [PMC complimentary commodity] [PubMed]
46. Bynum SA, Davis JL, Green BL, Katz RV. Unwillingness to participate in colorectal cancer screening: examining fears, attitudes, and medical mistrust in an ethnically various sample of adults 50 years and older. Am J Health Promot. 2012;26:295–300. doi: 10.4278/ajhp.110113-QUAN-xx. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
47. Thompson HS, Valdimarsdottir HB, Winkel G, Jandorf L, Redd W. The Grouping-Based Medical Mistrust Scale: psychometric properties and association with breast cancer screening. Prev Med. 2004;38:209–218. doi: 10.1016/j.ypmed.2003.09.041. [PubMed] [CrossRef] [Google Scholar]
48. LaVeist TA, Isaac LA, Williams KP. Mistrust of health intendance organizations is associated with underutilization of health services. Health Serv Res. 2009;44:2093–2105. doi: 10.1111/j.1475-6773.2009.01017.x. [PMC complimentary article] [PubMed] [CrossRef] [Google Scholar]
49. Hammond WP, Matthews D, Mohottige D, Agyemang A, Corbie-Smith G. Masculinity, medical mistrust, and preventive health services delays among customs-dwelling African-American men. J Gen Intern Med. 2010;25:1300–1308. doi: ten.1007/s11606-010-1481-z. [PMC costless commodity] [PubMed] [CrossRef] [Google Scholar]
50. Arora NK. Interacting with cancer patients: the significance of physicians' communication behavior. Soc Sci Med. 2003;57:791–806. doi: 10.1016/S0277-9536(02)00449-5. [PubMed] [CrossRef] [Google Scholar]
51. Rao JK, Anderson LA, Inui TS, Frankel RM. Communication interventions brand a divergence in conversations between physicians and patients: a systematic review of the prove. Med Care. 2007;45:340–349. doi: 10.1097/01.mlr.0000254516.04961.d5. [PubMed] [CrossRef] [Google Scholar]
52. Penner LA, Gaertner South, Dovidio JF, et al. A social psychological approach to improving the outcomes of racially discordant medical interactions. J Gen Intern Med. 2013;28:1143–1149. doi: 10.1007/s11606-013-2339-y. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
53. Fawole OA, Dy SM, Wilson RF, et al. A systematic review of advice quality comeback interventions for patients with advanced and serious disease. J Gen Intern Med. 2013;28:570–577. doi: 10.1007/s11606-012-2204-4. [PMC complimentary commodity] [PubMed] [CrossRef] [Google Scholar]
54. Anderson LA, Sharpe PA. Improving patient and provider advice: a synthesis and review of communication interventions. Patient Educ Couns. 1991;17:99–134. doi: 10.1016/0738-3991(91)90014-V. [CrossRef] [Google Scholar]
55. Griffin SJ, Kinmonth AL, Veltman MW, Gillard S, Grant J, Stewart Thou. Effect on wellness-related outcomes of interventions to alter the interaction between patients and practitioners: a systematic review of trials. Ann Fam Med. 2004;2:595–608. doi: ten.1370/afm.142. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
56. Clough J, Lee South, Chae DH. Barriers to health care among Asian immigrants in the The states: a traditional review. J Wellness Intendance Poor Underserved. 2013;24:384–403. doi: 10.1353/hpu.2013.0019. [PubMed] [CrossRef] [Google Scholar]
57. Nisbett RE, Wilson TD. Telling more than we can know: verbal reports on mental processes. Psychol Rev. 1977;84:231–259. doi: x.1037/0033-295X.84.3.231. [CrossRef] [Google Scholar]
Articles from Periodical of General Internal Medicine are provided here courtesy of Society of Full general Internal Medicine
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351276/
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