| Literature DB >> 19814832 |
Ying Li1, Jia Cao, Hui Lin, Daikun Li, Yang Wang, Jia He.
Abstract
BACKGROUND: Community health services in China have developed over the last few decades. In order to use limited health resources more effectively, we conducted a community health needs assessment. This aimed to provide an understanding of the community's health problems and the range of potential factors affecting risk behaviours for the priority health problems.Entities:
Mesh:
Year: 2009 PMID: 19814832 PMCID: PMC2770049 DOI: 10.1186/1472-6963-9-181
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Triangulation in health needs assessment
| Data source triangulation | Existing data review | Analyzed main health problem by reviewing existing health data from CDC |
| Investigation | Prioritized health problem by investigating health problem and risk factors with different methods | |
| Methods triangulation | Participation (Ranking) | Prioritized health problem by listing and ranking health concerns (people's perceived needs and priorities) |
| FGD | Discussed the health problems, risk factors and their influencing factors (people's perceived needs, priorities, influence factors) | |
| Key informant interview | Assessed the health resources for health promotion (resources, policy) | |
| Questionnaires | Surveyed the health problems ("actual needs"), risk factors | |
| Researchers triangulation | Teachers | Role of moderator in 4 FGDs and key informants interviews, and analyzed all FGDs and key informants interviews |
| Graduates | Role of moderator in 8 FGDs | |
Figure 1flow chart of methods in health needs assessment. The flow chart shows the different methods used in different phases of community health needs assessment.
Figure 2Schematic view of FGDs distribution by age, gender and employment. The chart described the distribution of the12 FGDs by age, gender and employment.
Demographic characteristics of study subjects in questionnaire survey
| Age | 15~60 | 208 | 77.6 |
| ≥ 60 | 60 | 22.4 | |
| Sex | male | 111 | 41.4 |
| female | 157 | 58.6 | |
| Marital status | unmarried | 36 | 13.4 |
| married | 197 | 73.5 | |
| divorced | 11 | 4.1 | |
| Widowed | 24 | 8.9 | |
| Education | primary school and below | 191 | 71.3 |
| middle school | 77 | 13.0 | |
| Employment | employed | 101 | 37.7 |
| student | 5 | 1.9 | |
| retired | 16 | 6.0 | |
| unemployed | 146 | 54.4 | |
Results of ranking health concerns*
| CVDs | 1 | 1 | 1 | 1 | 1 | 5 | 5 | 1.00 | |||
| Cancer | 2 | 1 | 2 | 1 | 2 | 3 | 1 | 12 | 7 | 1.71 | |
| KD | 3 | 3 | 2 | 2 | 3 | 2 | 15 | 6 | 2.33 | ||
| Respiratory | 3 | 3 | 3 | 9 | 3 | 3.00 | |||||
| TB | 2 | 3 | 5 | 2 | 2.5 | ||||||
* "1", "2" and "3" refer to Rank order of the health problems
Chronic diseases reported by residents in questionnaire survey
| CVDs | 14.1(38) | 9.6(15) | 20.7 (23) | 25.1(15) | 11.1(23) | 3.8 (3) | 18.3 (35) |
| Tracheitis | 1.5 (4) | 2.6(4) | 0.0 (0) | 6.7(4) | 0.0 (0) | 0.0 (0) | 0.0 (4) |
| Gout | 0.7 (2) | 0.0 (0) | 1.8 (2) | 0.0 (0) | 0.9 (2) | 0.0 (0) | 1.0 (2) |
| Colpitis | 0.7 (2) | 1.3(2) | 0.0 (0) | 0.0 (0) | 0.9 (2) | 0.0 (0) | 1.0 (2) |
| Pharyngitis | 0.7 (2) | 0.6 (1) | 0.9 (1) | 0.0 (0) | 0.9 (2) | 1.3 (1) | 0.1 (1) |
| Womb tumor | 0.7 (2) | 1.3(2) | 0.0 (0) | 0.0 (0) | 0.9 (2) | 1.3 (1) | 0.1 (1) |
| Bone diseases | 0.7 (2) | 0.0 (0) | 1.8 (2) | 0.0 (0) | 0.9 (2) | 0.0 (0) | 1.0 (2) |
| Diabetes | 0.4 (1) | 0.0 (0) | 0.9 (1) | 1.7(1) | 0.0 (0) | 0.0 (0) | 0.1 (1) |
| Blood stool | 0.4 (1) | 0.0 (0) | 0.9 (1) | 1. 7(1) | 0.0 (0) | 0.0 (0) | 0.1 (1) |
| Total | 20.1(54) | 15.3(24) | 27.0 (30) | 35.0 (21) | 11.1(33) | 6.5 (5) | 25.7 (49) |
Priority of health needs in study place assessed by different resources *
| CDC | 1 | 2 | 3 | |||
| Ranking | 1 | 2 | 3 | |||
| FGDs | 1 | |||||
| Questionnaires | 1 | 2 | 3 |
* "1", "2" and "3" refer to Rank order of the health problems
Population distribution of CVDs in residents from questionnaire survey
| sex | female | 15 | 6.663 | 0.010 |
| male | 23 | |||
| age | ≧ 60 | 15 | 7.439 | 0.006 |
| 15-60 | 23 | |||
| education | middle school and above | 3 | 8.240 | 0.04 |
| primary school and below | 35 | |||
Health risk factors of CVDs reported by residents in questionnaire survey⋆
| smoking | 34 (12.7) | 1(0.1) | 33(29.7)** | 2 (3.3) | 32(15.4)* | 21(10.9) | 13(16.9) |
| Physical inactive | 197 (73.5) | 90(57.3) | 107(96.4)** | 58(96.7) | 13(66.8)** | 163(85.3) | 34(44.2) ** |
| high-fat foods | 108 (40.3) | 30(19.1) | 78(70.3)** | 33.3 (20) | 88(42.3) | 97(50.8) | 11(14.3) ** |
| salty foods | 125 (46.6) | 85(54.1) | 40(36.0)* | 54(90.0) | 71(34.1)** | 98(51.3) | 27(35.1) * |
| sugary foods | 109 (40.7) | 35(22.3) | 74(66.7)** | 50(83.3) | 59(28.3)** | 90(47.1) | 19(24.7) ** |
| Lack of vegetables | 34 (12.7) | 18(11.5) | 17(15.3) | 15(25.0) | 19(9.1)** | 24 (12.6) | 10(12.9) |
⋆ χ2 test used to compare between males and females, lower than 60 years and older than 60 years, and educational levels.
*P ≦ 0.05
**P ≦ 0.01
knowledge about CVDs of residents in questionnaire survey⋆
| Unhealthy diet | 28 (10.4) | 17 (10.8) | 11 (9.9) | 15(25.0) | 13 (6.3) ** | 10(5.2) | 18 (23.4) ** |
| physical inactivity | 22 (8.2) | 10 (6.4) | 12 (10.8) | 8 (13.3) | 14 (6.7)※ | 8(4.2) | 14 (18.2) ** |
| smoking | 15 (5.6) | 10 (6.4) | 5 (4. 5) | 8 (13.3) | 7 (3.4)※** | 6(3.1) | 9 (11.7)※* |
| stress | 16 (5.9) | 6 (3.8) | 10 (9.0) | 5 (8.33) | 11 (5.3)※ | 7(3.7) | 8(10.4)※ |
| Don't know | 197(73.5) | 114(72.6) | 83(74.8) | 24(40.0) | 173(83.2) ** | 145(75.9) | 52(67.5) |
⋆χ2 test used to Compared between male to female, lower than 60 years and older than 60 years, and educational differences
※ Fisher's Exact
*P ≦ 0.05
**P ≦ 0.01
Perceived needs reported by residents in questionnaire survey⋆
| A | |||||||
| health knowledge | 84(33.5) | 54(34.4) | 30(27.0) | 50(83.33) | 34 (16.4) ** | 30(15.7) | 54 (70.1) ** |
| guidance of diet | 48(19.1) | 32(20.4) | 16 (14.4) | 23 (38.3) | 25 (12.0) ** | 20(10.5) | 28 (36.4) ** |
| health consultation | 16 (6.4) | 9 (5.7) | 7 (63.1) | 6 (10.0) | 10 (4.8) | 9(4.7) | 7 (9.1) |
| No needs | 150(55.9) | 90(57.3) | 60(54.1) | 34 (56.7) | 116 (55.8) | 123(64.4) | 27 (35.1) ** |
⋆χ2 test used to Compared between male to female, lower than 60 years and older than 60 years, and educational differences
**P ≦ 0.01
Accessibility to community health promotion activities reported by residents in questionnaire survey⋆
| Never participating | 109(40.9) | 76(48.4) | 33 (58.6) ** | 45(75.0) | 64 (30.8) ** | 57(29.8) | 52 (67.5) ** |
| Health information propaganda | 100(37.3) | 65 (41.4) | 35 (31.5) | 15(25.0) | 85 (40.9)* | 70(36.4) | 30 (38.9) |
| guiding of life style | 68(25.4) | 30 (19.1) | 38 (34.2)* | 5 (8.3) | 63 (30.3) ** | 38(19.9) | 30 (38.9) ** |
| Training of quitting smoking or drinking | 6(2.8) | 1 (0.1) | 5 (0.5)※* | 3 (5.0) | 3(1.4)※ | 2 (1.0) | 4 (5.2)※* |
⋆χ2 test used to Compared between male to female, lower than 60 years and older than 60 years, and educational differences
※ Fisher's Exact
*P ≦ 0.05
**P ≦ 0.01
Results of behaviour and environment diagnosis and educational diagnosis in FGDs
| Behavior and environment diagnosis | Only female participants emphasized the unhealthy lifestyle everywhere in the community, associated CVDS with that unhealthy lifestyle | |
| Predisposing | The minority described some risk factors and preventive measures. The majority didn't know how to behaviour healthily and perceived a need for health information guidance about diet | |
| Enabling | Poor accessibility to health knowledge | |
| Reinforcing factors | Local people like playing Majiang, it is part of the local culture | |