| Literature DB >> 17764556 |
Samia A Hurst1, Reidun Forde, Stella Reiter-Theil, Anne-Marie Slowther, Arnaud Perrier, Renzo Pegoraro, Marion Danis.
Abstract
BACKGROUND: In response to limited resources, health care systems have adopted diverse cost-containment strategies and give priority to differing types of interventions. The perception of physicians, who witness the effects of these strategies, may provide useful insights regarding the impact of system-wide priority setting on access to care.Entities:
Mesh:
Year: 2007 PMID: 17764556 PMCID: PMC1995213 DOI: 10.1186/1472-6963-7-137
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Four Health Care Systems: WHO and OECD data
| Total (2002 US $) | 2,166 | 3,409 | 3,446 | 2,160 |
| Public (2002 US $) | 1,639 | 2,845 | 1,995 | 1,801 |
| Out of pocket (2002 US$) | 440 | 546 | 1,085 | 200 |
| Social security | 0.1% | 0% | 40% | 0% |
| Other public | 75.5% | 83.5% | 17.9% | 83.4% |
| Pre-paid plan | 1% | 0% | 9.6% | 3% |
| Out of pocket | 20.3% | 16% | 31.4% | 9.2% |
| Other private | 3% | 0.5% | 1.4% | 4.3% |
| Acute care beds/1000 p. | 3.7 | 3.1 | 3.9 | 3.7 |
| Nursing home beds/1000 p. | 2.7 | 9.1 | 11.6 | 3.1 |
| Nurses/1000 pop. | 5.4 | 10.4 | 10.7 | 9.7 |
| Physicians/1000 pop. | 4.1 | 3.4 | 3.7 | 2.2 |
| Universal coverage | Yes | Yes | Yes | Yes |
| Freedom to choose general physician | Yes | Yes | Yes | No |
| Gatekeeping for specialist consultation | Yes | Yes | No | Yes |
| Fairness of financial contribution to health system | 0.961 | 0.977 | 0.964 | 0.977 |
| Distribution of responsiveness | 0.995 | 0.995 | 0.995 | 0.995 |
a WHO 2002 country information [40]
b OECD 2003 country information [33]
c WHO 2000 World health report [41]
Figure 1Limited resources. During the last six months, how often were you unable to obtain the following services for your patients when you thought they were necessary (this includes unacceptable waiting times)?. Panel A: Percentage of respondents who reported unavailability of resources. ‡Chi-square: p < 0.01; null hypothesis is "no difference". Panel B: mean frequency of reported unavailability of resources. 0 = "never", 1 = "less than once a month", 2 = "once a month", 3 = "weekly", 4 = "daily". *Kruskall-Wallis: p < 0.01; null hypothesis is "no difference".
Four Health Care Systems: survey responses
| Hours a week* (median, range) | 12 (2–44) | 33 (1–80) | 40 (2–80) | 12 (1–56) |
| Number of patients in half a day in clinic* (median, range) | 11 (1–30) | 10 (1–50) | 12 (1–30) | 15 (4–50) |
| Waiting time for an appointment* (median) | Within a week | Within two weeks | Next day | Within a month |
| Hours a week* (median, range) | 35 (8–60) | 20 (1–50) | 14 (1–60) | 24 (1–100) |
| Number of inpatients cared for at one time (median, range) | 18 (3–150) | 15 (2–82) | 15 (1–270) | 20 (1–85) |
| I am given enough means to treat my patients fairly * | 65% | 73% | 81% | 29% |
| Health resources in my country are distributed fairly* | 35% | 39% | 69% | 21% |
| Everyone in my country has equal access to needed medical services* | 50% | 36% | 59% | 11% |
*Kruskall-Wallis: p < 0.01; null hypothesis is "no difference"
Figure 2Reported greater likelihood to be denied treatment based on group identity. Based on your experience, are patients who belong to any of the following groups more likely than others to be denied beneficial care on the basis of cost in your health care environment?. *Pearson Chi-Square: p < 0.01; null hypothesis is "no difference".
Figure 3Percentage of respondents who agreed with different cost-containment policies. Based on your experience, how acceptable do you consider the following methods of resource allocation to be?. *Kruskall-Wallis: p < 0.01; null hypothesis is "no difference".
Respondent characteristics
| Age, years | 28–82 (mean 51) |
| Years in practice | 1–62 (mean 25) |
| Male | 546 (85%) |
| Specialty | |
| Family medicine | 195 (30%) |
| General medicine | 188 (29%) |
| Internal medicine | 179 (28%) |
| Country of practice | |
| Italy | 139 (21%) |
| Norway | 222 (34%) |
| Switzerland | 183 (28%) |
| UK | 112 (17%) |
| Primary practice site | |
| Hospital | 258 (38%) |
| Solo practice | 182 (28%) |
| Primary care group practice | 164 (25%) |
| Multi-specialty group | 23 (4%) |
| Other | 28 (4%) |
| Admitting hospital | |
| Public | 572 (94%) |
| Private | 21 (3%) |
| For-profit | 81 (17%) |
| Not-for-profit | 406 (82%) |
| Teaching hospital | 264 (46%) |
Numbers in parentheses are percentages of the sample shown exclusive of missing data, and rounded to the nearest whole number
Differences in reported unavailability is parallel to health outcomes
| % respondents who reported unavailable rehabilitation for strokea | 57 | 53 | 23 | 44 |
| Potential years of life lost, cerebrovascular disease/100,000 p. >70 yearsb | 89 | 74 | 58 | 121 |
| % respondents who reported unavailable colon cancer screeninga | 28 | 29 | 8 | 27 |
| Potential years of life lost, malignant neoplasia of the colon/100,000 p. >70 yearsb | 73 | 89 | 56 | 70 |
| % respondents who reported unavailable mental health servicesa | 37 | 80 | 58 | 53 |
| Potential years of life lost, mental disorders/100,000 p. >70 yearsb | 33 | 267 | 132 | 113 |
a Survey responses
b OECD 2002–3 country information