| Literature DB >> 31913496 |
Mary G Findling1, Robert J Blendon1, John M Benson1, Justin M Sayde1, Carolyn E Miller2.
Abstract
Importance: The 2016 US presidential election brought national visibility to prominent economic issues affecting rural America, yet little has been done to examine serious health or economic problems in rural communities from the perspectives of rural US adults themselves. Objective: To examine views on the most serious health and economic concerns and potential solutions in rural communities. Design, Setting, and Participants: This survey study used 2 cross-sectional probability-based telephone (cellular and landline) surveys of adults living in the rural United States. The first survey was conducted June 6 to August 4, 2018, and the second survey was conducted January 31 to March 2, 2019. All results were weighted to be nationally representative of rural US adults. Data analysis was conducted in April 2019. Main Outcomes and Measures: The primary study outcomes were the prevalence of rural adults reporting their biggest community problems, problems with health care access and costs, ratings of the local economy, views on opioid addiction, and views on solving major community issues.Entities:
Year: 2020 PMID: 31913496 PMCID: PMC6991316 DOI: 10.1001/jamanetworkopen.2019.18745
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Characteristics of Nationally Representative Samples of Rural US Adults
| Characteristic | Weighted % | |
|---|---|---|
| 2018 Survey 1 (n = 1300) | 2019 Survey 2 (n = 1405) | |
| Race/ethnicity | ||
| Non-Hispanic white | 78 | 78 |
| Hispanic or Latino | 8 | 8 |
| Non-Hispanic black | 8 | 8 |
| Other | 6 | 7 |
| Sex | ||
| Women | 50 | 49 |
| Men | 50 | 51 |
| Age, y | ||
| 18-29 | 18 | 19 |
| 30-49 | 26 | 28 |
| 50-64 | 30 | 28 |
| ≥65 | 25 | 25 |
| Education | ||
| No college degree | 81 | 81 |
| College degree or more | 19 | 19 |
| Household annual income, $ | ||
| <25 000 | 31 | 34 |
| 25 000 to <50 000 | 23 | 24 |
| 50 000 to <75 000 | 16 | 17 |
| ≥75 000 | 21 | 25 |
| Rural region | ||
| Appalachia | 19 | 18 |
| Northeast | 6 | 6 |
| Midwest | 30 | 30 |
| South | 31 | 31 |
| West | 15 | 15 |
Weighted percentages of adults were estimated with survey weights to adjust for unequal probability of sampling. Percentages may not total 100% owing to rounding and responses of don’t know or refused that are included in the total sample size but not reported here.
Includes those with some college experience (including business, technical, or vocational school after high school) but no college degree, as well as those with a high school degree, general educational development certificate, or less.
Regions were mutually exclusive. Rural Appalachia was defined by county using the Appalachian Regional Commission definition. All other regions were defined using the US Census.
Rural US Adults’ Perspectives on Major Health and Economic Concerns
| Response | Sample Size, No. | Weighted % (95% CI) |
|---|---|---|
| Overall biggest problem facing your local community | 1300 | |
| Opioid or other drug addiction or abuse | 25 (22-28) | |
| Economy or jobs | 21 (19-24) | |
| Most urgent health problem currently facing your local community | 1300 | |
| Opioid or other drug addiction or abuse | 23 (20-26) | |
| Cancer | 12 (10-14) | |
| Access to health care | 11 (9-13) | |
| Overall biggest problem facing you and your family | 1300 | |
| Financial problems | 27 (24-30) | |
| Health or health care problems | 16 (14-19) | |
| None | 14 (12-17) | |
| Rating your local economy | 1300 | |
| Excellent | 8 (6-11) | |
| Good | 36 (33-40) | |
| Only fair | 34 (31-38) | |
| Poor | 21 (18-24) | |
| Rating opioid addiction as a problem in your local community | 1300 | |
| Very serious | 33 (29-36) | |
| Somewhat serious | 24 (21-27) | |
| Not too serious | 4 (3-6) | |
| Not a problem | 31 (28-34) | |
| Personally know someone who has had opioid addiction | 1300 | |
| Yes | 49 (46-53) | |
| No | 50 (47-54) | |
| Rating suicide as a problem in your local community | 1300 | |
| Very serious | 12 (10-15) | |
| Somewhat serious | 19 (16-22) | |
| Not too serious | 4 (3-6) | |
| Not a problem | 60 (57-64) | |
| Difficulty paying family medical bills or for dental treatment | 1405 | |
| Major problems | 19 (17-22) | |
| Minor problems | 13 (11-16) | |
| No problems | 67 (64-70) | |
| Would have a problem paying off an unexpected $1000 expense right away | 691 | |
| Yes | 49 (44-54) | |
| No | 50 (45-55) | |
| Recently could not get access health care when needed | 1405 | |
| Got health care every time it was needed | 72 (69-75) | |
| Needed health care but did not get it | 26 (23-30) | |
| Reasons you could not get health care you needed (among those who needed health care but did not get it) | 331 | |
| Could not afford that health care | 45 (38-52) | |
| Felt the health care location was too far or too difficult to get to | 23 (18-30) | |
| Could not get an appointment during the hours you needed | 22 (17-29) | |
| Could not find a physician who would take your health insurance | 19 (14-26) | |
| Experienced recent problems with health care quality you received in the past few years | 701 | |
| Yes | 28 (24-33) | |
| No | 70 (65-75) | |
| Closure of any local hospital in the past few years | 704 | |
| Yes | 8 (6-12) | |
| No | 90 (87-93) | |
| Rating homelessness as a major problem in your local community | 714 | |
| Major problem | 15 (12-19) | |
| Minor problem | 18 (14-22) | |
| Not a problem | 62 (57-66) | |
Unweighted sample size and weighted percentages are reported. Percentages were estimated with survey weights to adjust for unequal probability of sampling. Percentages may not total 100% owing to rounding and responses of don’t know or refused that are included in the total sample but not reported here.
Opioid or other drug addiction or abuse includes drug addiction or abuse (general, drug type unspecified, or did not specifically mention opioids) and specific mentions of opioid addiction or abuse (including heroin and prescription pain relievers). Economic concerns include the availability of jobs, poverty, businesses closing, cost of living, and low wages.
Administered as an open-ended question; top mentions reported.
No other issues were mentioned by more than 10% of rural adults.
To reduce respondent burden, this question was only asked to a randomized half sample.
Perspectives of Rural US Adults on Solving Major Community Health Problems
| Response | Sample Size, No. | Weighted % (95% CI) |
|---|---|---|
| Confidence that major problems facing your local community will be solved in the next five years | 1300 | |
| Very confident | 12 (10-15) | |
| Somewhat confident | 38 (35-42) | |
| Not too confident | 28 (25-31) | |
| Not at all confident | 18 (15-21) | |
| Views on solving community problems on its own or with outside help | 1290 | |
| Can accomplish mostly on its own | 37 (34-41) | |
| Will need outside help | 58 (54-62) | |
| Views on which groups will play the greatest role in solving major community problems (among those saying community will need outside help) | 755 | |
| Your state government | 30 (26-35) | |
| The federal government | 18 (15-22) | |
| Your county or regional government | 13 (10-17) | |
| Big businesses | 13 (10-17) | |
| Nonprofit organizations, including charities | 6 (4-9) | |
| Religious organizations | 5 (3-7) | |
| Something else | 7 (5-10) |
Unweighted sample size and weighted percentages are reported. Percentages were estimated with survey weights to adjust for unequal probability of sampling. Percentages may not total 100% owing to rounding and responses of don’t know or refused that are included in the total sample but not reported here.
Experiences of Rural US Adults With Telehealth
| Telehealth Use | Sample Size, No. | Weighted % (95% CI) |
|---|---|---|
| Recently received health care diagnosis or treatment via | 1405 | |
| Email, text messaging, live text chat, mobile application, live video, or telephone | 24 (21-27) | |
| Email, text messaging, live text chat, mobile application, or live video | 14 (12-16) | |
| Telephone | 15 (13-18) | |
| Reasons for telehealth use among rural telehealth patients | 360 | |
| Most convenient way to get diagnosis or treatment | 69 (62-76) | |
| Could not see regular physician in person | 30 (24-37) | |
| Too difficult to travel to physician or hospital | 26 (20-33) | |
| Medical purpose of telehealth use among telehealth patients | 360 | |
| For a prescription from physician or other health professional | 53 (46-60) | |
| For diagnosis or treatment for a chronic condition | 25 (19-32) | |
| For diagnosis or treatment for an emergency | 16 (11-23) | |
| For diagnosis or treatment for an infectious disease | 9 (6-14) |
Unweighted sample size and weighted percentages are reported. Percentages were estimated with survey weights to adjust for unequal probability of sampling. Percentages may not total 100% owing to rounding and responses of don’t know or refused that are included in the total sample but not reported here.