| Literature DB >> 26505745 |
Ashley R Williams1, Robert E S Bain2, Michael B Fisher1, Ryan Cronk1, Emma R Kelly1, Jamie Bartram1.
Abstract
BACKGROUND: Packaged water products provide an increasingly important source of water for consumption. However, recent studies raise concerns over their safety.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26505745 PMCID: PMC4624706 DOI: 10.1371/journal.pone.0140899
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Criteria used to assess study quality (adapted from Bain et al. 2014b).
| Criteria | Description |
|---|---|
| Representativeness | The study attempted to collect samples in a manner that was representative of the study area |
| Randomization | The samples were collected randomly |
| Randomization described | The method of randomization is clearly explained |
| Selection described | Description of how sampling sites were chosen (either PWMF or POS) |
| Specification of sample location | The location where samples were collected was clear (directly from manufacturers or point of sale) |
| Handling of samples described | The method of sample collection, handling, and timing of analysis after collection was described. |
| Proper sample handling | Reported transporting the samples at temperatures 2–6°C and analysis was performed within 6 hours |
| Method described | Clear explanation of the analytical method used to determine TC/FC/EC |
| Quality control measures | The use of duplicates (or triplicates), or positive/negative controls, or blanks was documented |
Fig 1PRISMA flowchart.
Results of literature search and screening according to PRISMA flowchart for systematic review screening process (Adapted from Moher et al. 2009).
Characteristics of included studies.
| Number of studies (%) | |
|---|---|
| PW type | |
| Sachet | 49 (24%) |
| Sachet (hand-filled) | 8 (4%) |
| Small bottles (0.5-<5L) | 120 (60%) |
| Large bottles (5-20L) | 15 (7%) |
| Dispensing | 9 (4%) |
| Unspecified | 2 (1%) |
| Point of sampling | |
| Manufacturers | 16 (9%) |
| Point of sale | 104 (60%) |
| Both Manufactures and POS | 10 (6%) |
| Households/offices | 7 (4%) |
| Study design | |
| Cross-sectional | 146 (85%) |
| Longitudinal | 22 (13%) |
| Method (diagnostic) | 3 (2%) |
| Randomized | 58 (34%) |
| Representative | 30 (17%) |
| Study quality | |
| Low (0–2) | 69 (41%) |
| Medium (3–4) | 77 (45%) |
| High (5–8) | 24 (14%) |
| Language | |
| English | 141 (82%) |
| French | 1 (1%) |
| Portuguese | 23 (13%) |
| Spanish | 6 (3%) |
| Turkish | 1 (1%) |
| Parameter | |
|
| 81 (47%) |
| Thermotolerant coliforms | 84 (49%) |
| Total coliforms | 155 (90%) |
| Sample size | |
| Small (10–30) | 53 (31%) |
| Medium (31–100) | 75 (44%) |
| Large (101–1941) | 44 (25%) |
| Setting | |
| National | 14 (8%) |
| Urban | 120 (70%) |
| Peri-Urban | 3 (2%) |
| Rural | 2 (1%) |
| Urban and Rural | 3 (2%) |
| Urban and Peri-Urban | 1 (<1%) |
| Unspecified/Regional | 29 (17%) |
| Income Level | |
| High income (HI) | 36 (21%) |
| Upper-middle income (UM) | 57 (33%) |
| Lower-middle income (LM) | 69 (40%) |
| Lower income (LI) | 10 (6%) |
| Total | 172 |
aTwo articles reported two separate studies within the article, therefore the total is 172.
Fig 2Geographic map of included studies.
Distribution of included studies across Millennium Development Goal regions and country.
Results from between-study meta-regression.
| Fecal indicator bacteria (>1 CFU/100mL) | Total coliforms (>1 CFU/100mL) | |||||
|---|---|---|---|---|---|---|
| Variables | Obs | OR (95% CI) | p-value | Obs | OR (95% CI) | p-value |
| PW type | ||||||
| Small bottles vs. all other PW types | 157 | 0.32 (0.17–0.58) | <0.001 | 170 | 0.10 (0.05–0.22) | <0.001 |
| Small bottles vs. all sachets | 137 | 0.21 (0.10–0.42) | <0.001 | 147 | 0.04 (0.02–0.09) | <0.001 |
| Small bottles vs. machine- filled sachet | 129 | 0.31 (0.16–0.62) | 0.001 | 139 | 0.08 (0.03–0.17) | <0.001 |
| Machine-filled sachet vs. hand-filled sachet | 45 | 0.10 (0.02–0.53) | 0.008 | 44 | 0.04 (0.01–0.26) | 0.001 |
| Study location | ||||||
| LICs vs. UM/HICs | 157 | 4.6 (2.6–8.1) | <0.001 | 170 | 13.6 (6.9–26.7) | <0.001 |
| Africa vs. all other regions | 157 | 3.0 (1.6–5.5) | 0.001 | 170 | 10.7 (5.1–22.6) | <0.001 |
| Asia vs. all other regions | 157 | 1.7 (0.78–3.5) | 0.192 | 170 | 0.94 (0.38–2.3) | 0.889 |
| South America vs. all other regions | 157 | 0.71 (0.35–1.5) | 0.350 | 170 | 0.40 (0.16–0.97) | 0.044 |
| Developed vs. all other regions | 157 | 0.12 (0.05–0.27) | <0.001 | 170 | 0.08 (0.03–0.22) | <0.001* |
| Study characteristics | ||||||
| Random vs. nonrandom | 157 | 1.1 (0.59–2.2) | 0.700 | 170 | 2.3 (1.0–5.2) | 0.041 |
| Representative vs. non-representative | 157 | 0.79 (0.36–1.7) | 0.551 | 170 | 1.3 (0.47–3.5) | 0.629 |
| Longitudinal vs. cross-sectional | 153 | 0.81 (0.32–2.0) | 0.646 | 164 | 1.4 (0.38–5.2) | 0.616 |
| High quality vs. low-quality | 157 | 0.99 (0.44–2.3) | 0.988 | 170 | 2.1 (0.70–6.6) | 0.178 |
|
| 157 | 0.82 (0.44–1.5) | 0.536 |
*significance at 95%
Fig 3Forest plot of PW and all other drinking water sources.
Forest plot of the odds ratio of fecal contamination comparing PW and all other drinking water sources.
Fig 4Forest plot of PW and tap water sources.
Forest plot of the odds ratio of fecal contamination comparing PW and tap water sources.