| Literature DB >> 25361726 |
Grace Marie V Ku1, Guy Kegels2.
Abstract
BACKGROUND: This study investigated the effects of integrating primary chronic care with current healthcare activities in two local government health units (LGHU) of the Philippines on knowledge and skills of the LGHU staff and clinical outcomes for people with diabetes.Entities:
Keywords: decision support; delivery system redesign; integration; low- and middle-income countries; primary diabetes care; self-management education and support/self-care development
Mesh:
Substances:
Year: 2014 PMID: 25361726 PMCID: PMC4212076 DOI: 10.3402/gha.v7.25286
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Fig. 1Self-management education and support strategy utilizing pre-existing local government unit healthcare workers in their present organization.
Positions and levels of education of healthcare workers who participated in the training with complete pre- and post-test and self-assessments
| All, | Batac City, | Pagudpud, | |
|---|---|---|---|
| Position | |||
| Health officer | 1 (0.9%) | 0 | 1 (2.3%) |
| Nurse | 6 (5.5%) | 5 (7.5%) | 1 (2.3%) |
| Midwife | 16 (14.5%) | 10 (14.9%) | 6 (14%) |
| Barangay health worker | 87 (79.1%) | 52 (77.6%) | 35 (81.4%) |
| Education | |||
| Doctor of medicine | 1 (0.9%) | 0 | 1 (2.3%) |
| College degree | 46 (41.8%) | 29 (43.3%) | 17 (39.5%) |
| College level | 6 (5.5%) | 6 (9%) | 0 |
| >6–10 years of school | 46 (41.8%) | 29 (43.3%) | 17 (38.5%) |
| ≤6 years of school | 9 (8.2%) | 3 (4.5%) | 6 (14%) |
| Not indicated | 2 (1.8%) | 0 | 2 (4.7%) |
In the Philippines, health officers are physicians and have a doctor of medicine degree; nurses and midwives are graduates of their respective college degrees (Bachelor of Science in Nursing and Bachelor of Science in Midwifery). All three cadres of healthcare workers need to be licensed by the Philippine Professional Regulations Commission before they can practice their professions.
Changes in knowledge and self-assessment of skills of the healthcare workers, classified into formal healthcare workers (health officer, nurses, midwives) and the BHW
| All ( | Formal healthcare workers ( | BHW ( | ||||||
|---|---|---|---|---|---|---|---|---|
|
|
|
| ||||||
| Median (binomial interpolation of confidence intervals) | Wilcoxon signed-rank test | Median (binomial interpolation of confidence intervals) | Wilcoxon signed-rank test | Median (binomial interpolation of confidence intervals) | Wilcoxon signed-rank test | Cronbach's alpha | ||
| Diabetes knowledge test,% correct answers | Pre-test | 54.2 (50.0–58.3) | <0.001 | 70.8 (66.7–75.0) | <0.001 | 45.8 (41.7–54.2) | <0.001 | 0.903 |
| Post-test | 75.0 (70.8–78.3) | 87.5 (79.2–87.8) | 70.8 (66.7–75.0) | |||||
| Self-assessment, biopsychosocial approach domain | Pre-test | 1.32 (1.11–1.73) | <0.001 | 2.64 (1.99–3.46) | <0.001 | 1.09 (1.00–1.27) | <0.001 | 0.972 |
| Post-test | 3.41 (3.20–3.70) | 3.91 (3.64–4.0) | 3.18 (3.00–3.40) | |||||
| Self-assessment, anthropometrics | Pre-test | 1.40 (1.22–1.60) | <0.001 | 2.60 (1.77–3.51) | 0.001 | 1.40 (1.01–1.49) | <0.001 | 0.972 |
| Post-test | 3.04 (3.00–4.00) | 4.00 (3.00–4.9) | 3.00 (3.00–4.00) | |||||
| Self-assessment, clinical and non-pharmacological skills | Pre-test | 1.32 (1.21–1.64) | <0.001 | 2.93 (2.14–3.29) | <0.001 | 1.29 (1.14–1.43) | <0.001 | 0.967 |
| Post-test | 3.5 (3.30–3.84) | 3.50 (3.36–5.00) | 3.5 (3.14–3.85) | |||||
Score on a 1–5 Likert scale.
Demographics of people enrolled in the FILDCARE Project
| All, | Batac, | Pagudpud, | ||
|---|---|---|---|---|
|
| ||||
| Male gender, | 42 (25.6%) | 30 (27.8%) | 12 (21.4%) | |
| Age in years | Average | 57.1 | 57.8 | 55.8 |
| Median | 57 | 59 | 55 | |
| Range | 27–83 | 33–83 | 27–79 | |
| Number of years with diabetes | Average | 4.5 | 5.4 | 2.8 |
| Median | 2 | 3 | 1 | |
| Range | 0.5–28 | 0.5–28 | 0.5–16 | |
| Level of education | 0–6 years | 43 (26.2%) | 22 (20.4%) | 21 (37.5%) |
| 7–10 years | 63 (38.4%) | 43 (39.8%) | 20 (35.7%) | |
| >10 years | 58 (35.4%) | 43 (39.8%) | 15 (26.8%) | |
Pre-implementation and post-implementation values of the clinical endpoints of the FILDCARE Project participants
| ALL, | BATAC, | PAGUDPUD, | |||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
| |||||||
| Pre-implementation | Post-implementation | Pre-implementation | Post-implementation | Pre-implementation | Post-implementation | ||||
| Clinical endpoints | Median (binomial interpolation of confidence intervals; range) |
| Median (binomial interpolation of confidence intervals; range) |
| Median (binomial interpolation of confidence intervals; range) |
| |||
| Glycosylated hemoglobin, % | 7.7 (7.2–8.2; 5.2–>13.0) | 6.9 (6.8–7.5; 4.7–>13.0) | <0.001 | 7.8 (7.06–8.8; 5.2–>13.0) | 7.1 (6.8–8.0; 4.8–>13.0) | 0.0143 | 7.4 (6.7–8.2; 5.3–>13.0) | 6.8 (6.5–7.7; 4.7–>13.0) | 0.0185 |
| Body mass index, in kg/m2 | 23.7 (23.4–24.5; 15.7–39.5) | 23.2 (22.9–24.1; 15.0–35.2) | 0.059 | 23.8 (23.4–24.3; 16.0–33.6) | 23.2 (22.2–23.9; 16.7–33.2) | 0.0139 | 23.0 (22.2–24.7; 15.8–39.5) | 23.4 (22.2–25.0; 15.0–35.2) | 0.698 |
| Waist circumference, in cm | 85.0 (83.8–86.4; 68.5–112.0) | 83.0 (82.0–85.0; 63.0–108.0) | 0.011 | 85.0 (83.8–88.0; 60.0–112.0) | 83.0 (82.0–86.0; 63.0–108.0) | <0.001 | 84.5 (82.2–86.4; 70.0–107.0) | 84.2 (81.2–86.0; 69.0–107.5) | 0.701 |
| Waist-hip ratio | 0.90 (0.89–0.91; 0.77–1.56) | 0.89 (0.88–0.89; 0.65–1.15) | <0.001 | 0.90 (0.89–0.91; 0.77–1.1) | 0.89 (0.88–0.90; 0.75–1.1) | 0.006 | 0.91 (0.89–0.92; 0.81–1.56) | 0.88 (0.87–0.90; 0.65–1.0) | 0.006 |
Pre- and post-implementation categorization of the FILDCARE Project participants according to set criteria of the clinical endpoints
| Proportions, | |||||
|---|---|---|---|---|---|
|
| |||||
| Clinical endpoints | Reference values | Pre-implementation | Post-implementation |
| |
| Glycosylated hemoglobin (%) | |||||
| Good glycemic control | All | <7.0% | 61 (37.2%) | 83 (50.6%) | 0.014 |
| Batac | 38 (35.2%) | 54 (50.0%) | <0.001 | ||
| Pagudpud | 23 (41.1%) | 29 (51.8%) | 0.034 | ||
| Body mass index classification (kg/m2) | |||||
| Underweight | <18.5 | 6 (3.7%) | 11 (6.7%) | 0.213 | |
| Normal | 18.5–22.9 | 59 (36.0%) | 65 (39.6%) | 0.494 | |
| Overweight | 23–24.9 | 45 (27.4%) | 35 (21.3%) | 0.199 | |
| Obese type 1 | 25–29.9 | 47 (28.7%) | 46 (28.1%) | 0.902 | |
| Obese type 2 | ≥30 | 7 (4.3%) | 7 (4.3%) | 1.000 | |
| Waist circumference risk stratification (cm) | |||||
| Low risk | Male <90 cm Female <80 cm | 53 (32.3%) | 61 (37.2%) | 0.354 | |
| Waist-hip ratio risk stratification | |||||
| Low risk | Male ≤0.95 Female ≤0.80 | 40 (24.4%) | 0.286 | ||
| Moderate risk | Male=0.96–1.0 Female=0.81–0.85 | 31 (18.9%) | 33 (20.1%) | 0.781 | |
| High risk | Male >1.0 Female >0.85 | 102 (62.2%) | 91 (55.5%) | 0.217 | |